Tag: Cryoelectron microscopy

  • Hepatitis C Fact sheet. World Health Organization http://www.who.int/mediacentre/factsheets/fs164/en/ (2024).

  • Torrents de la Pena, A. et al. Structure of the hepatitis C virus E1E2 glycoprotein complex. Science 378, 263–269 (2022).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Law, J. L. et al. A hepatitis C virus (HCV) vaccine comprising envelope glycoproteins gpE1/gpE2 derived from a single isolate elicits broad cross-genotype neutralizing antibodies in humans. PLoS ONE 8, e59776 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Duncan, J. D., Urbanowicz, R. A., Tarr, A. W. & Ball, J. K. Hepatitis C virus vaccine: challenges and prospects. Vaccines 8, 90 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Capella-Pujol, J. et al. Signatures of VH1–69-derived hepatitis C virus neutralizing antibody precursors defined by binding to envelope glycoproteins. Nat. Commun. 14, 4036 (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Freedman, H. et al. Computational prediction of the heterodimeric and higher-order structure of gpE1/gpE2 envelope glycoproteins encoded by hepatitis C virus. J. Virol. 91, e02309–e02316 (2017).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Falson, P. et al. Hepatitis C virus envelope glycoprotein E1 forms trimers at the surface of the virion. J. Virol. 89, 10333–10346 (2015).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gerold, G., Moeller, R. & Pietschmann, T. Hepatitis C virus entry: protein interactions and fusion determinants governing productive hepatocyte invasion. Cold Spring Harb. Perspect. Med. 10, a036830 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Augestad, E. H. et al. Global and local envelope protein dynamics of hepatitis C virus determine broad antibody sensitivity. Sci. Adv. 6, eabb5938 (2020).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Prentoe, J., Velázquez-Moctezuma, R., Foung, S. K., Law, M. & Bukh, J. Hypervariable region 1 shielding of hepatitis C virus is a main contributor to genotypic differences in neutralization sensitivity. Hepatology 64, 1881–1892 (2016).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Tong, Y., Lavillette, D., Li, Q. & Zhong, J. Role of hepatitis C virus envelope glycoprotein E1 in virus entry and assembly. Front. Immunol. 9, 1411 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Law, M. et al. Broadly neutralizing antibodies protect against hepatitis C virus quasispecies challenge. Nat. Med. 14, 25–27 (2008).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Giang, E. et al. Human broadly neutralizing antibodies to the envelope glycoprotein complex of hepatitis C virus. Proc. Natl Acad. Sci. USA 109, 6205–6210 (2012).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yanagi, M., Purcell, R. H., Emerson, S. U. & Bukh, J. Transcripts from a single full-length cDNA clone of hepatitis C virus are infectious when directly transfected into the liver of a chimpanzee. Proc. Natl Acad. Sci. USA 94, 8738–8743 (1997).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Meunier, J. C. et al. Evidence for cross-genotype neutralization of hepatitis C virus pseudo-particles and enhancement of infectivity by apolipoprotein C1. Proc. Natl Acad. Sci. USA 102, 4560–4565 (2005).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Khan, A. G. et al. Structure of the core ectodomain of the hepatitis C virus envelope glycoprotein 2. Nature 509, 381–384 (2014).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Flyak, A. I. et al. HCV broadly neutralizing antibodies use a CDRH3 disulfide motif to recognize an E2 glycoprotein site that can be targeted for vaccine design. Cell Host Microbe 24, 703–716.e703 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Tzarum, N. et al. An alternate conformation of HCV E2 neutralizing face as an additional vaccine target. Sci. Adv. 6, eabb5642 (2020).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Tzarum, N. et al. Genetic and structural insights into broad neutralization of hepatitis C virus by human VH1-69 antibodies. Sci. Adv. 5, eaav1882 (2019).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kumar, A. et al. Structural insights into hepatitis C virus receptor binding and entry. Nature 598, 521–525 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kumar, A. et al. Regions of hepatitis C virus E2 required for membrane association. Nat. Commun. 14, 433 (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kong, L. et al. Hepatitis C virus E2 envelope glycoprotein core structure. Science 342, 1090–1094 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pfaff-Kilgore, J. M. et al. Sites of vulnerability in HCV E1E2 identified by comprehensive functional screening. Cell Rep. 39, 110859 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Olesen, C. H., Augestad, E. H., Troise, F., Bukh, J. & Prentoe, J. In vitro adaptation and characterization of attenuated hypervariable region 1 swap chimeras of hepatitis C virus. PLoS Pathog. 17, e1009720 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kong, L. et al. Structure of hepatitis C virus envelope glycoprotein E2 antigenic site 412 to 423 in complex with antibody AP33. J. Virol. 86, 13085–13088 (2012).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kong, L. et al. Structural basis of hepatitis C virus neutralization by broadly neutralizing antibody HCV1. Proc. Natl Acad. Sci. USA 109, 9499–9504 (2012).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kong, L. et al. Structural flexibility at a major conserved antibody target on hepatitis C virus E2 antigen. Proc. Natl. Acad Sci. USA 113, 12768–12773 (2016).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Oliver, M. R. et al. Structures of the Hepaci-, Pegi-, and Pestiviruses envelope proteins suggest a novel membrane fusion mechanism. PLoS Biol. 21, e3002174 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Perin, P. M. et al. Flunarizine prevents hepatitis C virus membrane fusion in a genotype-dependent manner by targeting the potential fusion peptide within E1. Hepatology 63, 49–62 (2016).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Lavillette, D. et al. Characterization of fusion determinants points to the involvement of three discrete regions of both E1 and E2 glycoproteins in the membrane fusion process of hepatitis C virus. J. Virol. 81, 8752–8765 (2007).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Catanese, M. T. et al. Ultrastructural analysis of hepatitis C virus particles. Proc. Natl Acad. Sci. USA 110, 9505–9510 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rey, F. A. & Lok, S. M. Common features of enveloped viruses and implications for immunogen design for next-generation vaccines. Cell 172, 1319–1334 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Augestad, E. H., Bukh, J. & Prentoe, J. Hepatitis C virus envelope protein dynamics and the link to hypervariable region 1. Curr. Opin. Virol. 50, 69–75 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Matsuura, Y. et al. Processing of E1 and E2 glycoproteins of hepatitis C virus expressed in mammalian and insect cells. Virology 205, 141–150 (1994).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Hu, T., Wu, Z., Wu, S., Chen, S. & Cheng, A. The key amino acids of E protein involved in early flavivirus infection: viral entry. Virol. J. 18, 136 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Carlsen, T. H., Scheel, T. K., Ramirez, S., Foung, S. K. & Bukh, J. Characterization of hepatitis C virus recombinants with chimeric E1/E2 envelope proteins and identification of single amino acids in the E2 stem region important for entry. J. Virol. 87, 1385–1399 (2013).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Serre, S. B., Krarup, H. B., Bukh, J. & Gottwein, J. M. Identification of alpha interferon-induced envelope mutations of hepatitis C virus in vitro associated with increased viral fitness and interferon resistance. J .Virol. 87, 12776–12793 (2013).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Prentoe, J. et al. Hypervariable region 1 deletion and required adaptive envelope mutations confer decreased dependency on scavenger receptor class B type I and low-density lipoprotein receptor for hepatitis C virus. J. Virol. 88, 1725–1739 (2014).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dodev, T. S. et al. A tool kit for rapid cloning and expression of recombinant antibodies. Sci. Rep. 4, 5885 (2014).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D 74, 531–544 (2018).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • He, J., Li, T. & Huang, S.-Y. Improvement of cryo-EM maps by simultaneous local and non-local deep learning. Nat. Commun. 14, 3217 (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Williams, C. J. et al. MolProbity: more and better reference data for improved all‐atom structure validation. Protein Sci. 27, 293–315 (2018).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • DeLano, W. L. Pymol: an open-source molecular graphics tool. CCP4 Newsl. Protein Crystallogr. 40, 82–92 (2002).


    Google Scholar
     

  • Pettersen, E. F. et al. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Sci. 30, 70–82 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yariv, B. et al. Using evolutionary data to make sense of macromolecules with a “face-lifted” ConSurf. Protein Sci. 32, e4582 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rothwangl, K. B., Manicassamy, B., Uprichard, S. L. & Rong, L. Dissecting the role of putative CD81 binding regions of E2 in mediating HCV entry: putative CD81 binding region 1 is not involved in CD81 binding. Virol. J. 5, 46 (2008).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Owsianka, A. M. et al. Identification of conserved residues in the E2 envelope glycoprotein of the hepatitis C virus that are critical for CD81 binding. J. Virol. 80, 8695–8704 (2006).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

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  • Structural insights into the high-affinity IgE receptor FcεRI complex

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  • Galli, S. J. & Tsai, M. IgE and mast cells in allergic disease. Nat. Med. 18, 693–704 (2012).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • McDonnell, J. M., Dhaliwal, B., Sutton, B. J. & Gould, H. J. IgE, IgE receptors and anti-IgE biologics: protein structures and mechanisms of action. Annu. Rev. Immunol. 41, 255–275 (2023).

    CAS 
    PubMed 

    Google Scholar
     

  • Kinet, J. P. The high-affinity IgE receptor (Fc epsilon RI): from physiology to pathology. Annu. Rev. Immunol. 17, 931–972 (1999).

    CAS 
    PubMed 

    Google Scholar
     

  • Martin, A. M., Kulski, J. K., Witt, C., Pontarotti, P. & Christiansen, F. T. Leukocyte Ig-like receptor complex (LRC) in mice and men. Trends Immunol. 23, 81–88 (2002).

    CAS 
    PubMed 

    Google Scholar
     

  • Humphrey, M. B., Lanier, L. L. & Nakamura, M. C. Role of ITAM-containing adapter proteins and their receptors in the immune system and bone. Immunol. Rev. 208, 50–65 (2005).

    CAS 
    PubMed 

    Google Scholar
     

  • Nimmerjahn, F. & Ravetch, J. V. Fcgamma receptors as regulators of immune responses. Nat. Rev. Immunol. 8, 34–47 (2008).

    CAS 
    PubMed 

    Google Scholar
     

  • Hogarth, P. M. & Pietersz, G. A. Fc receptor-targeted therapies for the treatment of inflammation, cancer and beyond. Nat. Rev. Drug Discov. 11, 311–331 (2012).

    CAS 
    PubMed 

    Google Scholar
     

  • Brandsma, A. M., Hogarth, P. M., Nimmerjahn, F. & Leusen, J. H. Clarifying the confusion between cytokine and Fc receptor “common gamma chain”. Immunity 45, 225–226 (2016).

    CAS 
    PubMed 

    Google Scholar
     

  • Bruhns, P. & Jonsson, F. Mouse and human FcR effector functions. Immunol. Rev. 268, 25–51 (2015).

    CAS 
    PubMed 

    Google Scholar
     

  • Blank, U. et al. Complete structure and expression in transfected cells of high affinity IgE receptor. Nature 337, 187–189 (1989).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Miller, L., Blank, U., Metzger, H. & Kinet, J. P. Expression of high-affinity binding of human immunoglobulin E by transfected cells. Science 244, 334–337 (1989).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Alber, G., Miller, L., Jelsema, C. L., Varin-Blank, N. & Metzger, H. Structure-function relationships in the mast cell high affinity receptor for IgE. Role of the cytoplasmic domains and of the beta subunit. J. Biol. Chem. 266, 22613–22620 (1991).

    CAS 
    PubMed 

    Google Scholar
     

  • Lin, S., Cicala, C., Scharenberg, A. M. & Kinet, J. P. The FcεRIβ subunit functions as an amplifier of FcεRIγ-mediated cell activation signals. Cell 85, 985–995 (1996).

    CAS 
    PubMed 

    Google Scholar
     

  • Turner, H. & Kinet, J. P. Signalling through the high-affinity IgE receptor FcεRI. Nature 402, B24–B30 (1999).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Kraft, S. & Kinet, J. P. New developments in FcεRI regulation, function and inhibition. Nat. Rev. Immunol. 7, 365–378 (2007).

    CAS 
    PubMed 

    Google Scholar
     

  • Underhill, D. M. & Goodridge, H. S. The many faces of ITAMs. Trends Immunol. 28, 66–73 (2007).

    CAS 
    PubMed 

    Google Scholar
     

  • Mócsai, A., Ruland, J. & Tybulewicz, V. L. The SYK tyrosine kinase: a crucial player in diverse biological functions. Nat. Rev. Immunol. 10, 387–402 (2010).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Orloff, D. G., Ra, C. S., Frank, S. J., Klausner, R. D. & Kinet, J. P. Family of disulphide-linked dimers containing the ζ and η chains of the T-cell receptor and the gamma chain of Fc receptors. Nature 347, 189–191 (1990).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Garman, S. C., Wurzburg, B. A., Tarchevskaya, S. S., Kinet, J. P. & Jardetzky, T. S. Structure of the Fc fragment of human IgE bound to its high-affinity receptor FcεRIα. Nature 406, 259–266 (2000).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Holdom, M. D. et al. Conformational changes in IgE contribute to its uniquely slow dissociation rate from receptor FcɛRI. Nat. Struct. Mol. Biol. 18, 571–576 (2011).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Drinkwater, N. et al. Human immunoglobulin E flexes between acutely bent and extended conformations. Nat. Struct. Mol. Biol. 21, 397–404 (2014).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Blank, U., Ra, C. S. & Kinet, J. P. Characterization of truncated alpha chain products from human, rat, and mouse high affinity receptor for immunoglobulin E. J. Biol. Chem. 266, 2639–2646 (1991).

    CAS 
    PubMed 

    Google Scholar
     

  • Passante, E. & Frankish, N. The RBL-2H3 cell line: its provenance and suitability as a model for the mast cell. Inflamm. Res. 58, 737–745 (2009).

    CAS 
    PubMed 

    Google Scholar
     

  • Mattiola, I., Mantovani, A. & Locati, M. The tetraspan MS4A family in homeostasis, immunity, and disease. Trends Immunol. 42, 764–781 (2021).

    CAS 
    PubMed 

    Google Scholar
     

  • Rougé, L. et al. Structure of CD20 in complex with the therapeutic monoclonal antibody rituximab. Science 367, 1224–1230 (2020).

    ADS 
    PubMed 

    Google Scholar
     

  • Kumar, A., Planchais, C., Fronzes, R., Mouquet, H. & Reyes, N. Binding mechanisms of therapeutic antibodies to human CD20. Science 369, 793–799 (2020).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Singleton, T. E., Platzer, B., Dehlink, E. & Fiebiger, E. The first transmembrane region of the beta-chain stabilizes the tetrameric Fc epsilon RI complex. Mol. Immunol. 46, 2333–2339 (2009).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rashid, A. et al. Assessing the role of Asp 194 in the transmembrane domains of the alpha-chain of the high-affinity receptor complex for immunoglobulin E in signal transduction. Mol. Immunol. 48, 128–136 (2010).

    CAS 
    PubMed 

    Google Scholar
     

  • Blazquez-Moreno, A. et al. Transmembrane features governing Fc receptor CD16A assembly with CD16A signaling adaptor molecules. Proc. Natl Acad. Sci. USA 114, E5645–E5654 (2017).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kuster, H., Thompson, H. & Kinet, J. P. Characterization and expression of the gene for the human Fc receptor gamma subunit. Definition of a new gene family. J. Biol. Chem. 265, 6448–6452 (1990).

    CAS 
    PubMed 

    Google Scholar
     

  • Wines, B. D., Trist, H. M., Ramsland, P. A. & Hogarth, P. M. A common site of the Fc receptor gamma subunit interacts with the unrelated immunoreceptors FcαRI and FcεRI. J. Biol. Chem. 281, 17108–17113 (2006).

    CAS 
    PubMed 

    Google Scholar
     

  • Travers, T. et al. Combinatorial diversity of Syk recruitment driven by its multivalent engagement with FcεRIγ. Mol. Biol. Cell 30, 2331–2347 (2019).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bax, H. J., Bowen, H., Dodev, T. S., Sutton, B. J. & Gould, H. J. Mechanism of the antigen-independent cytokinergic SPE-7 IgE activation of human mast cells in vitro. Sci. Rep. 5, 9538 (2015).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hibbs, M. L. et al. Mechanisms for regulating expression of membrane isoforms of Fc gamma RIII (CD16). Science 246, 1608–1611 (1989).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Kurosaki, T., Gander, I. & Ravetch, J. V. A subunit common to an IgG Fc receptor and the T-cell receptor mediates assembly through different interactions. Proc. Natl Acad. Sci. USA 88, 3837–3841 (1991).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wines, B. D., Trist, H. M., Monteiro, R. C., Van Kooten, C. & Hogarth, P. M. Fc receptor γ chain residues at the interface of the cytoplasmic and transmembrane domains affect association with FcαRI, surface expression, and function. J. Biol. Chem. 279, 26339–26345 (2004).

    CAS 
    PubMed 

    Google Scholar
     

  • Pfefferkorn, L. C. & Yeaman, G. R. Association of IgA-Fc receptors (Fc alpha R) with Fc epsilon RI gamma 2 subunits in U937 cells. Aggregation induces the tyrosine phosphorylation of gamma 2. J. Immunol. 153, 3228–3236 (1994).

    CAS 
    PubMed 

    Google Scholar
     

  • Morton, H. C. et al. Functional association between the human myeloid immunoglobulin A Fc receptor (CD89) and FcR gamma chain. Molecular basis for CD89/FcR gamma chain association. J. Biol. Chem. 270, 29781–29787 (1995).

    CAS 
    PubMed 

    Google Scholar
     

  • Fewtrell, C., Mohr, F. C., Ryan, T. A. & Millard, P. J. in Novartis Foundation Symposia Ciba Foundation Symposium 147 ‐ IgE, Mast Cells and the Allergic Response (eds Chadwick, D. J. et al.) 114–132 (Wiley, 1989).

  • Metzger, H. et al. The receptor with high affinity for immunoglobulin E. Annu. Rev. Immunol. 4, 419–470 (1986).

    CAS 
    PubMed 

    Google Scholar
     

  • Dong, D. et al. Structural basis of assembly of the human T cell receptor-CD3 complex. Nature 573, 546–552 (2019).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Chen, Y. et al. Cholesterol inhibits TCR signaling by directly restricting TCR-CD3 core tunnel motility. Mol. Cell 82, 1278–1287 (2022).

    CAS 
    PubMed 

    Google Scholar
     

  • Sušac, L. et al. Structure of a fully assembled tumor-specific T cell receptor ligated by pMHC. Cell 185, 3201–3213 (2022).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Saotome, K. et al. Structural analysis of cancer-relevant TCR-CD3 and peptide-MHC complexes by cryoEM. Nat. Commun. 14, 2401 (2023).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Xin, W. et al. Structures of human γδ T cell receptor–CD3 complex. Nature https://doi.org/10.1038/s41586-024-07439-4 (2024).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Sheets, E. D., Holowka, D. & Baird, B. Critical role for cholesterol in Lyn-mediated tyrosine phosphorylation of FcεRI and their association with detergent-resistant membranes. J. Cell Biol. 145, 877–887 (1999).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Curnow, S. J., Boyer, C., Buferne, M. & Schmitt-Verhulst, A. M. TCR-associated ζ-FcεRIγ heterodimers on CD4CD8 NK1.1+ T cells selected by specific class I MHC antigen. Immunity 3, 427–438 (1995).

    CAS 
    PubMed 

    Google Scholar
     

  • Enyedy, E. J. et al. Fc epsilon receptor type I gamma chain replaces the deficient T cell receptor zeta chain in T cells of patients with systemic lupus erythematosus. Arthritis Rheum. 44, 1114–1121 (2001).

    CAS 
    PubMed 

    Google Scholar
     

  • Krishnan, S., Warke, V. G., Nambiar, M. P., Tsokos, G. C. & Farber, D. L. The FcR gamma subunit and Syk kinase replace the CD3 zeta-chain and ZAP-70 kinase in the TCR signaling complex of human effector CD4 T cells. J. Immunol. 170, 4189–4195 (2003).

    CAS 
    PubMed 

    Google Scholar
     

  • Lanier, L. L. Up on the tightrope: natural killer cell activation and inhibition. Nat. Immunol. 9, 495–502 (2008).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

  • Wang, N. et al. Structural basis of human monocarboxylate transporter 1 inhibition by anti-cancer drug candidates. Cell 184, 370–383 (2021).

    CAS 
    PubMed 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF Chimera-a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).

    CAS 
    PubMed 

    Google Scholar
     

  • Zivanov, J. et al. New tools for automated high-resolution cryo-EM structure determination in RELION-3. eLife 7, e42166 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D 66, 213–221 (2010).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70–82 (2021).

    CAS 
    PubMed 

    Google Scholar
     

  • Bawazir, M., Amponnawarat, A., Hui, Y., Oskeritzian, C. A. & Ali, H. Inhibition of MRGPRX2 but not FcεRI or MrgprB2-mediated mast cell degranulation by a small molecule inverse receptor agonist. Front. Immunol. 13, 1033794 (2022).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

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  • Human XPR1 structures reveal phosphate export mechanism

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  • Berndt, T. & Kumar, R. Phosphatonins and the regulation of phosphate homeostasis. Annu. Rev. Physiol. 69, 341–359 (2007).

    CAS 
    PubMed 

    Google Scholar
     

  • Goretti Penido, M. & Alon, U. S. Phosphate homeostasis and its role in bone health. Pediatr. Nephrol. 27, 2039–2048 (2012).

    PubMed 

    Google Scholar
     

  • Austin, S. & Mayer, A. Phosphate homeostasis — a vital metabolic equilibrium maintained through the INPHORS signaling pathway. Front. Microbiol. 11, 1367 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Giovannini, D., Touhami, J., Charnet, P., Sitbon, M. & Battini, J. L. Inorganic phosphate export by the retrovirus receptor XPR1 in metazoans. Cell Rep. 3, 1866–1873 (2013).

    CAS 
    PubMed 

    Google Scholar
     

  • Li, X. et al. Control of XPR1-dependent cellular phosphate efflux by InsP8 is an exemplar for functionally-exclusive inositol pyrophosphate signaling. Proc. Natl Acad. Sci. USA 117, 3568–3574 (2020).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Legati, A. et al. Mutations in XPR1 cause primary familial brain calcification associated with altered phosphate export. Nat. Genet. 47, 579–581 (2015).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Anheim, M. et al. XPR1 mutations are a rare cause of primary familial brain calcification. J. Neurol. 263, 1559–1564 (2016).

    CAS 
    PubMed 

    Google Scholar
     

  • Lopez-Sanchez, U. et al. Characterization of XPR1/SLC53A1 variants located outside of the SPX domain in patients with primary familial brain calcification. Sci. Rep. 9, 6776 (2019).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Berndt, T. & Kumar, R. Novel mechanisms in the regulation of phosphorus homeostasis. Physiology 24, 17–25 (2009).

    CAS 
    PubMed 

    Google Scholar
     

  • Murer, H., Hernando, N., Forster, I. & Biber, J. Proximal tubular phosphate reabsorption: molecular mechanisms. Physiol. Rev. 80, 1373–1409 (2000).

    CAS 
    PubMed 

    Google Scholar
     

  • Hilfiker, H. et al. Characterization of a murine type II sodium-phosphate cotransporter expressed in mammalian small intestine. Proc. Natl Acad. Sci. USA 95, 14564–14569 (1998).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Forster, I. C., Hernando, N., Biber, J. & Murer, H. Phosphate transporters of the SLC20 and SLC34 families. Mol. Aspects Med. 34, 386–395 (2013).

    CAS 
    PubMed 

    Google Scholar
     

  • Wege, S. & Poirier, Y. Expression of the mammalian xenotropic polytropic virus receptor 1 (XPR1) in tobacco leaves leads to phosphate export. FEBS Lett. 588, 482–489 (2014).

    CAS 
    PubMed 

    Google Scholar
     

  • Jennings, M. L. Role of transporters in regulating mammalian intracellular inorganic phosphate. Front. Pharmacol. 14, 1163442 (2023).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ansermet, C. et al. Renal Fanconi syndrome and hypophosphatemic rickets in the absence of xenotropic and polytropic retroviral receptor in the nephron. J. Am. Soc. Nephrol. 28, 1073–1078 (2017).

    CAS 
    PubMed 

    Google Scholar
     

  • Yao, X. P. et al. Analysis of gene expression and functional characterization of XPR1: a pathogenic gene for primary familial brain calcification. Cell Tissue Res. 370, 267–273 (2017).

    CAS 
    PubMed 

    Google Scholar
     

  • Poirier, Y., Thoma, S., Somerville, C. & Schiefelbein, J. Mutant of Arabidopsis deficient in xylem loading of phosphate. Plant Physiol. 97, 1087–1093 (1991).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hamburger, D., Rezzonico, E., MacDonald-Comber Petetot, J., Somerville, C. & Poirier, Y. Identification and characterization of the Arabidopsis PHO1 gene involved in phosphate loading to the xylem. Plant Cell 14, 889–902 (2002).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Poirier, Y. & Bucher, M. Phosphate transport and homeostasis in Arabidopsis. Arabidopsis Book 1, e0024 (2002).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wang, Y., Ribot, C., Rezzonico, E. & Poirier, Y. Structure and expression profile of the Arabidopsis PHO1 gene family indicates a broad role in inorganic phosphate homeostasis. Plant Physiol. 135, 400–411 (2004).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wege, S. et al. The EXS domain of PHO1 participates in the response of shoots to phosphate deficiency via a root-to-shoot signal. Plant Physiol. 170, 385–400 (2016).

    CAS 
    PubMed 

    Google Scholar
     

  • Wild, R. et al. Control of eukaryotic phosphate homeostasis by inositol polyphosphate sensor domains. Science 352, 986–990 (2016).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Secco, D. et al. The emerging importance of the SPX domain-containing proteins in phosphate homeostasis. New Phytol. 193, 842–851 (2012).

    CAS 
    PubMed 

    Google Scholar
     

  • Secco, D., Wang, C., Shou, H. & Whelan, J. Phosphate homeostasis in the yeast Saccharomyces cerevisiae, the key role of the SPX domain-containing proteins. FEBS Lett. 586, 289–295 (2012).

    CAS 
    PubMed 

    Google Scholar
     

  • Puga, M. I. et al. Novel signals in the regulation of Pi starvation responses in plants: facts and promises. Curr. Opin. Plant Biol. 39, 40–49 (2017).

    CAS 
    PubMed 

    Google Scholar
     

  • Jung, J. Y., Ried, M. K., Hothorn, M. & Poirier, Y. Control of plant phosphate homeostasis by inositol pyrophosphates and the SPX domain. Curr. Opin. Biotechnol. 49, 156–162 (2018).

    CAS 
    PubMed 

    Google Scholar
     

  • Guan, Z. et al. Mechanistic insights into the regulation of plant phosphate homeostasis by the rice SPX2–PHR2 complex. Nat. Commun. 13, 1581 (2022).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhou, J. et al. Mechanism of phosphate sensing and signaling revealed by rice SPX1–PHR2 complex structure. Nat. Commun. 12, 7040 (2021).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Guan, Z. et al. The cytoplasmic synthesis and coupled membrane translocation of eukaryotic polyphosphate by signal-activated VTC complex. Nat. Commun. 14, 718 (2023).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Battini, J. L., Rasko, J. E. & Miller, A. D. A human cell-surface receptor for xenotropic and polytropic murine leukemia viruses: possible role in G protein-coupled signal transduction. Proc. Natl Acad. Sci. USA 96, 1385–1390 (1999).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Tailor, C. S., Nouri, A., Lee, C. G., Kozak, C. & Kabat, D. Cloning and characterization of a cell surface receptor for xenotropic and polytropic murine leukemia viruses. Proc. Natl Acad. Sci. USA 96, 927–932 (1999).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yang, Y. L. et al. Receptors for polytropic and xenotropic mouse leukaemia viruses encoded by a single gene at Rmc1. Nat. Genet. 21, 216–219 (1999).

    PubMed 

    Google Scholar
     

  • Tsai, J. Y. et al. Structure of the sodium-dependent phosphate transporter reveals insights into human solute carrier SLC20. Sci. Adv. 6, eabb4024 (2020).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dong, Y. et al. Structure and mechanism of the human NHE1–CHP1 complex. Nat. Commun. 12, 3474 (2021).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Arakawa, T. et al. Crystal structure of the anion exchanger domain of human erythrocyte band 3. Science 350, 680–684 (2015).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Parker, J. L., Corey, R. A., Stansfeld, P. J. & Newstead, S. Structural basis for substrate specificity and regulation of nucleotide sugar transporters in the lipid bilayer. Nat. Commun. 10, 4657 (2019).

    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Capper, M. J. et al. Substrate binding and inhibition of the anion exchanger 1 transporter. Nat. Struct. Mol. Biol. 30, 1495–1504 (2023).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Guo, X. X. et al. Spectrum of SLC20A2, PDGFRB, PDGFB, and XPR1 mutations in a large cohort of patients with primary familial brain calcification. Hum. Mutat. 40, 392–403 (2019).

    CAS 
    PubMed 

    Google Scholar
     

  • Drew, D. & Boudker, O. Shared molecular mechanisms of membrane transporters. Annu. Rev. Biochem. 85, 543–572 (2016).

    CAS 
    PubMed 

    Google Scholar
     

  • Chen, Y. H. et al. Homologue structure of the SLAC1 anion channel for closing stomata in leaves. Nature 467, 1074–1080 (2010).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Drew, D., North, R. A., Nagarathinam, K. & Tanabe, M. Structures and general transport mechanisms by the major facilitator superfamily (MFS). Chem. Rev. 121, 5289–5335 (2021).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gadsby, D. C., Vergani, P. & Csanady, L. The ABC protein turned chloride channel whose failure causes cystic fibrosis. Nature 440, 477–483 (2006).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Levring, J. et al. CFTR function, pathology and pharmacology at single-molecule resolution. Nature 616, 606–614 (2023).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fairman, W. A., Vandenberg, R. J., Arriza, J. L., Kavanaugh, M. P. & Amara, S. G. An excitatory amino-acid transporter with properties of a ligand-gated chloride channel. Nature 375, 599–603 (1995).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Chen, I. et al. Glutamate transporters have a chloride channel with two hydrophobic gates. Nature 591, 327–331 (2021).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gadsby, D. C. Ion channels versus ion pumps: the principal difference, in principle. Nat. Rev. Mol. Cell Biol. 10, 344–352 (2009).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ramos, E. M. et al. Primary brain calcification: an international study reporting novel variants and associated phenotypes. Eur. J. Hum. Genet. 26, 1462–1477 (2018).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Liu, T. Y. et al. PHO2-dependent degradation of PHO1 modulates phosphate homeostasis in Arabidopsis. Plant Cell 24, 2168–2183 (2012).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Vetal, P. V. & Poirier, Y. The Arabidopsis PHOSPHATE 1 exporter undergoes constitutive internalization via clathrin-mediated endocytosis. Plant J. https://doi.org/10.1111/tpj.16441 (2023).

    PubMed 

    Google Scholar
     

  • Rouge, L. et al. Structure of CD20 in complex with the therapeutic monoclonal antibody rituximab. Science 367, 1224–1230 (2020).

    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Zivanov, J. et al. New tools for automated high-resolution cryo-EM structure determination in RELION-3. eLife 7, e42166 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhang, K. Gctf: real-time CTF determination and correction. J. Struct. Biol. 193, 1–12 (2016).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

    CAS 
    PubMed 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF Chimera — a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).

    CAS 
    PubMed 

    Google Scholar
     

  • Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D Biol. Crystallogr. 60, 2126–2132 (2004).

    ADS 
    PubMed 

    Google Scholar
     

  • Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D Struct. Biol. 74, 531–544 (2018).

    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70–82 (2021).

    CAS 
    PubMed 

    Google Scholar
     

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  • Visualizing chaperonin function in situ by cryo-electron tomography

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    Plasmids and strains

    Escherichia coli BL21(DE3) Gold cells (Stratagene) were used for growth analysis, electron tomography and protein expression. For tomography and biochemical experiments, GroEL was expressed from a pBAD33 plasmid containing the groEL gene under the control of an araBAD promotor (EL+ cells)26. For overexpression of GroEL and GroES, a pBAD33 plasmid containing both groEL and groES genes under the control of an araBAD promotor was used48. MetK was expressed from a pET22b plasmid previously described26.

    Antibodies

    Polyclonal antisera used against GroEL, GroES, MetK and GAPDH were previously described26, and the rabbit antiserum against α-lactalbumin was a product of East Acres Biologicals immunization service.

    E. coli growth

    E. coli cells were grown in lysogeny broth (LB) medium that contained, depending on the plasmids used, the antibiotics ampicillin (200 μg ml1, pET22b-MetK) and chloramphenicol (32 μg ml−1, pBAD33 variants). For overexpression of GroEL, GroES and MetK (MetK cells), transformed E. coli Bl21 (DE3) pBAD33-GroEL:ES pET22b-MetK cells were grown to early exponential phase at 37 °C, and GroEL–GroES expression using the pBAD33 promoter was induced for 90 min by supplementation of LB medium with arabinose to a final concentration of 0.2% (w/v). Cells were subsequently harvested by centrifugation at 8,000g (4 °C for 10 min) and resuspended to an optical density (600 nm, OD600) of 0.1–0.2 in fresh LB medium containing both antibiotics and 1 mM isopropyl β-d-thiogalactopyranoside (IPTG), to induce MetK expression under control of the T7 promoter for 40 min. GroEL expression (EL+) was induced in E. coli Bl21 (DE3) pBAD33-GroEL by supplementation of LB medium with arabinose to a final concentration of 0.1% (w/v) and growth of the culture at 37 °C. To expose E. coli Bl21 (DE3) cells to HS, cells were first cultured to early exponential phase at 37 °C and then incubated in a shaking water bath at 46 °C for 2 h.

    E. coli growth curves

    Cells were cultured as described above. Aliquots were removed at the time points indicated for optical density measurement at OD600. To ensure exponential growth conditions, growing cultures were diluted to an OD600 of 0.1 with prewarmed LB medium containing the necessary antibiotics and arabinose when OD600 just exceeded 0.4. Growth curves for MetK and EL+/MetK cells were measured following termination of GroEL induction by transfer of cells into arabinose-free medium containing 1 mM IPTG for MetK overexpression. The first sample was taken 5 min after changing the medium. Data were processed for fitting in R.

    Protein expression and purification

    GroEL, GroES and MetK proteins were expressed and purified as previously described26,49.

    Measurement of protein concentration

    Concentrations of purified proteins were determined by measurement of absorbance at 280 nm using absorbance coefficients calculated from the protein sequence with the program ProtParam50. Protein concentrations of cell lysates were determined with the Pierce Coomassie Plus (Bradford) Assay Kit (Thermo Fisher Scientific) as described by the manufacturer.

    Preparation of cell lysates

    Cultures were prepared as described above, harvested by centrifugation and the cell pellet flash-frozen in liquid nitrogen before further processing. Spheroplasts were prepared at 4 °C as previously described51. In brief, cells were resuspended in 100 mM Tris-HCl pH 8.0 and washed twice with 2 ml of buffer. The pellet was then resuspended in HMK buffer (50 mM HEPES-KOH pH 7.2, 20 mM Mg acetate, 50 mM K acetate) supplemented with 20% (w/v) sucrose and 0.25 mg ml−1 lysozyme. Cells were then incubated on ice for 7 min and transferred to 37 °C for 10 min. The resulting suspension was supplemented with Complete EDTA-free protease inhibitor cocktail (Roche), and spheroplasts were lysed by the addition of 0.1% (v/v) Triton X-100 and subsequent sonication.

    Mass spectrometry

    Cell lysates were reduced by the addition of dithiothreitol (DTT) to a final concentration of 10 mM and heated to 56 °C for 45 min. Acylation of thiol groups was performed by the addition of chloroacetamide to a final concentration of 55 mM and incubation for 45 min in the dark, followed by a first digestion step with Lys-C (Wako) at a w/w ratio of 1:20 for 2 h at 37 °C. This was followed by a second digestion step overnight with trypsin (Roche) at a 1:20 (w/w) ratio at 37 °C. The reaction was stopped by the addition of trifluoroacetic acid to a final volume of 1%. Peptides were desalted using OMIX C18 (100 μl) tips (Agilent Technologies, no. A57003100) according to the manufacturer’s instructions.

    Desalted peptides were dissolved in 12 µl of 5% formic acid, sonicated in an ultrasonic bath, centrifuged and transferred to autosampler vials (Waters). Samples were analysed on an Easy nLC-1200 nanoHPLC system (Thermo) coupled to a Q-Exactive Orbitrap HF mass spectrometer (Thermo). Peptides were separated on pulled-spray columns (ID 75 μm, length 30 cm, tip opening 8 μm, NewObjective) packed with 1.9 μm C18 particles (Reprosil-Pur C18-AQ, Dr Maisch) using either a stepwise 196 min gradient (comparison of 37 °C, HS and MetK) or a stepwise 67 min gradient (all other samples) between buffer A (0.2% formic acid in water) and buffer B (0.2% formic acid in 80% acetonitrile). Samples were loaded on the column by the nanoHPLC autosampler at a pressure of 900 bar. The high-performance liquid chromatography flow rate was set to 0.25 μl min−1 during analysis. No trap column was used. The following parameters were used for comparison of growth conditions 37 °C, HS and MetK: MS, resolution 60,000 (full-width at half-maximum (FWHM) setting); MS mass range 300–1,650 m/z; MS-AGC-setting 3 × 106; MS-MaxIT 50 ms; MS/MS fragmentation of the 15 most intense ions (charge state 2 or higher) from the MS scan; MS/MS resolution 15,000 (FWHM setting); MS/MS-AGC-setting 105; MS/MS-MaxIT 50 ms; MS/MS isolation width 1.8 m/z; collision-energy setting 29 (NCE). All other samples were analysed with the following parameters: MS resolution 120,000 (FWHM setting); MS mass range 300–1,650 m/z; MS-AGC-setting 3 × 106; MS-MaxIT 100 ms; MS/MS fragmentation of the ten most intense ions (charge state 2 or higher) from the MS scan; MS/MS resolution 15,000 (FWHM setting); MS/MS-AGC-setting 105; MS/MS-MaxIT 50 ms; MS/MS isolation width 1.2 m/z; collision-energy setting 29 (NCE).

    MS data analysis

    Protein identification was performed using MaxQuant with default settings. The E. coli K12 strain sequences of UNIPROT (v.2023-03-01) were used as the database for protein identification (Supplementary Information). MaxQuant uses a decoy version of the specified UNIPROT database to adjust false discovery rates for proteins and peptides below 1%.

    Quantification of MetK binding to GroEL

    To quantify the fraction of GroEL with bound MetK in MetK-overexpressing cells, we immunoprecipitated GroEL with GroEL antibody followed by GroEL and MetK immunoblotting and liquid chromatography–tandem mass spectrometry. Cells were prepared and lysed as described above, but with the addition of apyrase (25 U ml−1 final concentration) to rapidly deplete the ATP pool in the lysate and arrest the GroEL reaction cycle26. The lysate was clarified by centrifugation at 16,000g (4 °C for 10 min). Either 20 μl of a non-specific antibody (against α-lactalbumin) or a GroEL-specific antibody was coupled to 100 μl of recombinant protein A Sepharose 4B beads (Thermo Fisher Scientific) as described by the manufacturer. The beads were loaded with sample (180 μg of protein) and incubated in 650 μl of HMK buffer for 1 h. The beads were washed twice with 600 μl of HMK buffer and then twice more with HMK containing 0.1% Triton X-100. For immunoblotting, elution was performed with 50 μl of 2× lithium dodecyl sulfate (Pierce) containing β-mercaptoethanol 5% (v/v) as prescribed by the manufacturer. For liquid chromatography–tandem mass spectrometry analysis, elution and digestion were performed with the IST MS sample preparation kit (Preomics) using the manufacturer’s on-bead digestion protocol. Mass spectrometry was performed as described above.

    SDS–PAGE and immunoblotting

    Before SDS–polyacrylamide gel electrophoresis (SDS–PAGE) analysis, cells were resuspended in HMK buffer supplemented with 2 mM DTT, 1 mM EDTA and 5% glycerol and subsequently sonicated, followed by centrifugation (20 min, 16,000g at 4 °C). Protein samples were separated by electrophoresis on NuPAGE 10% Bis-Tris SDS gels (Invitrogen) using NuPAGE MES SDS running buffer (Invitrogen) at 150 V. Proteins were transferred to polyvinylidene difluoride membranes in blotting buffer (25 mM Tris, 192 mM glycine, 20% methanol) at 150 mA. Membranes were first incubated with primary antibodies in TBST buffer overnight at 4 °C and subsequently with horseradish peroxidase-conjugated secondary antibody for chemiluminescence detection. Uncropped immunoblots are provided in the Source Data file to Extended Data Fig. 3.

    In situ cryo-ET analysis

    Cell cultures were grown as described above. For cryo-ET analysis, cells in exponential growth (approximate OD600 0.4) were rapidly (for about 2 min) concentrated to an approximate OD600 of 10 by centrifugation at 8,000g and subsequently applied to R 2/1 100 Holey carbon film Cu 200 mesh grids (Quantifoil) that were previously plasma cleaned for 30 s. The sample was blotted for 9 s at force 10 and then plunge-frozen in a mixture of liquid ethane and propane cooled by liquid nitrogen using a Vitrobot Mark IV (Thermo Fisher Scientific) at 70% humidity and 22 °C. Frozen grids were transferred to a dual-beam, cryo-focused ion beam (FIB)/scanning electron microscope (Thermo Fisher Scientific; either Scios, Quanta, Aquilos or Aquilos 2). Cells were coated with a layer of inorganic platinum, if available in the system used, followed by the deposition of organometallic platinum using an in situ gas injection system (working distance, 10 mm; heating, 27 °C; time, 8 s). Removal of bulk material was done at a stage angle of 20–25° using gallium ions at 30 kV, 0.5 nA. Fine milling of lamellae was done at 11–13° stage tilt with successively lower currents between 0.3 nA and 30 pA, aiming for a final thickness of 100–200 nm (ref. 52). Lamellae for the selective GroEL overexpression dataset were prepared using Serial FIB53, and an additional layer of inorganic platinum was added following fine milling to avoid charging during image acquisition54. The resulting lamellae were transferred to a TEM (Titan Krios, field emission gun 300 kV, Thermo Fisher Scientific) equipped with an energy filter (Quantum K2, Gatan), a direct detection camera (K2 Summit, Gatan), and tomograms were acquired at a magnification of ×42,000 (pixel size 3.52 Å), defocus ranging from −5.0 to −3.0 μm and the energy filter slit set to 20 eV using SerialEM 3.9.0 (ref. 55). Tomograms were recorded in dose-fractionated super-resolution mode, with a total dose of roughly 120 e2 per tilt series. A dose-symmetric tilt scheme was used with an increment of 2–3° in a total range of ±60° from a starting angle of approximately 10° to compensate for lamellar pretilt (mostly around 11°)56. Frames were aligned using MotionCor2 (v.1.4.0, https://emcore.ucsf.edu/ucsf-software)57. The reconstruction was performed in IMOD using patch tracking (v.4.11.1, RRID:SCR_003297, https://bio3d.colorado.edu/imod/)58 using the TOMOgram MANager (TOMOMAN) wrapper scripts59. Tilt-series images were dose filtered using TomoMAN’s implementation of the Grant and Grigorieff exposure filter60. Defocus was estimated using CTFFIND4 (ref. 61).

    Tomograms of the EL+ dataset were acquired on a Krios G4 equipped with a Selectris X energy filter and Falcon 4 direct electron detector (Thermo Fisher Scientific). Tilt series were collected with a dose-symmetric tilt scheme using TEM Tomography 5 software (Thermo Fisher Scientific). A tilt span of ±60° was used with 2° steps, starting at ±10°, to compensate for lamellar pretilt. Target focus was changed for each tilt series in steps of 0.5 µm over a range of −2.5 µm to +5 µm. Data were acquired in EER mode of Falcon 4 with a calibrated physical pixel size of 3.02 Å and a total dose of 3e2 per tilt over ten frames. A 10 eV slit was used for the entire data collection. Data were preprocessed using TOMOMAN59. EER images were motion corrected using RELION’s implementation of MotionCor2 (ref. 62). Defocus was estimated using CTFFIND4 (ref. 61). Reconstruction was performed with IMOD using local deposits of the inorganic platinum that was applied by sputtering following milling as fiducials. All tomograms were reconstructed using NovaCTF63.

    E. coli membranes were segmented for visualization using TomoSegMemTV 1.0.

    Cryo-ET analysis of in vitro reconstituted GroEL–GroES complexes

    For generation of a GroEL–GroES reference for in situ tomographic analysis containing a defined substrate protein in a folded state and in a known topology, we imaged in vitro reconstituted GroEL–GroES–MetK complexes using the same data collection strategy and parameters as above for WT cells.

    Subtomogram averaging

    For subtomogram averaging, all datasets acquired on the same microscope (37 °C, HS, MetK) were combined and processed together; the EL+ dataset was processed separately. The overall processing workflow is depicted in Extended Data Fig. 1b.

    For template matching, PDB entry 1AON was used for EL–ES1, 4PKO for EL–ES2 and 5MDZ for 70S ribosomes to generate templates at a resolution of 40 Å using the molmap64 command in Chimera65. Initial positions for a subset of EL–ES1 and EL–ES2 complexes and ribosomes were determined using the noise correlation template-matching approach implemented in STOPGAP, by fourfold binning to a pixel size of 14.08 Å (ref. 66). This subset of the data was subsequently aligned and classified in STOPGAP to generate a reference from the tomographic data with a Fourier shell correlation (FSC) value close to 1 at 40 Å template-matching resolution. Template matching with various GroEL14 species was attempted, but never yielded an average of GroEL14 with a resolution better than the template resolution. The data-derived references of all three different structures were used for an additional round of template matching on the complete dataset. Cross-correlation cut-off was chosen separately for every tomogram by visual inspection of the generated hits and comparison with the tomogram. To reduce the level of false-positive detection, a mask for the cytosol of the cell was first created using AMIRA (Thermo Fisher Scientific) and subsequently used to filter out hits outside of the cytosol. Putative particles were deliberately overpicked with low-resolution templates in the initial stage to avoid false-negative assignments.

    This procedure yielded 176,408 initial subtomograms for the EL–ES1 reference and 125,860 for the EL–ES2 reference. These were then further aligned and classified separately in STOPGAP, each yielding classes containing both EL–ES1 and EL–ES2 particles. The combined number of particles contained in classes with emergent high-resolution features (Supplementary Fig. 1a) for the EL–ES1 reference was 19,239, and 17,614 for the EL–ES2 reference (Extended Data Fig. 1 and Supplementary Fig. 1b). Because both references pick up a subset of the other particles, the particles were then combined and duplicates removed. The resulting combined dataset was split by reference-free, three-dimensional classification in STOPGAP, resulting in a set of 17,598 EL–ES1 and 11,213 EL–ES2 complexes that were then independently refined. This resulted in a resolution at the FSC cut-off of 0.143 following the application of symmetry at 11.6 Å for the EL–ES1 complex (C7 symmetry) and 11.9 Å for the EL–ES2 complex (D7 symmetry). Classification was performed using simulated annealing stochastic hill-climbing multireference alignment as previously described67. All classifications were done repeatedly with different, random initial starting sets of 250–500 subtomograms to generate the initial references. Only particles that ended up in the same class for all independent rounds of classifications were retained67. Further refinements with the established WARP, RELION, M pipeline were attempted but did not yield any further improvements. EL–ES1 wide and narrow complexes were separated by classification with a focused, disk-shaped mask on the apical domains of the EL–ES1 trans-ring. This resulted in 6,681 narrow complexes that were refined to a resolution of 13.5 Å, and 10,130 wide EL–ES1 complexes refined to a resolution of 12.0 Å.

    The EL+ dataset was processed in the same way, but starting with the structures from the other datasets, low-pass filtered to 40 Å, as initial references for template matching. Template matching was then repeated once with structures generated by averaging a subset of particles from this dataset. To improve the resolution for model building, the dataset was exported to WARP68 and angles and positions refined using RELION v.3.0.8 (ref. 69). This yielded a GroEL14 structure at a global resolution of 13 Å. GroEL 14-mer particles were corefined for geometric distortions with ribosomes in M. The resulting GroEL 14-mer particles were exported for further alignment and classification in RELION. Classification was performed with a regularization parameter T of four and six classes for 25 iterations without angular search, resulting in a more homogeneous subset of 12,421 particles. These particles were again corefined in M for geometric distortions and per-particle defocus for contrast transfer function (CTF) estimation, resulting in a final structure with nominal resolution of 9.8 Å at 0.143 FSC cut-off.

    Owing to their high molecular weight and density, ribosome template matching achieves a higher precision and recall. During initial rounds of classification in STOPGAP, because no false-positive particles were detected, all ribosomal hits from template matching were aligned first in STOPGAP at progressively lower binnings (bin4, bin2, bin1). The resulting particles were then exported to WARP using TOMOMAN. Subtomograms were reconstructed for RELION v.3.0.8 using WARP at a pixel size of 3.52 Å per pixel. An iterative approach with subtomogram alignment in RELION and tilt-series refinement in M70 were performed until no further improvement in gold-standard FSC was obtained. This resulted in a final structure of the ribosome at a resolution of 8.6 Å for the combined 37 °C, HS and MetK datasets, and 6.3 Å for the EL+ dataset, which was processed separately.

    In vitro cryo-ET data for GroEL–GroES complexes were processed analogous to the in situ data, resulting in 39,518 initial hits for the EL–ES2 template and 46,093 for the EL–ES1 template, with both sets having a significant overlap. These were then further aligned and classified separately in STOPGAP, yielding 5,832 and 13,688 particles, respectively, following duplicate removal.

    Classification of SP occupancy of GroEL–GroES complexes in situ

    For the resolution of densities corresponding to substrate proteins in the GroEL–GroES chamber we first performed symmetry expansion around the C2 axis of the EL–ES2 complexes and aligned the new set of GroEL–GroES chambers with the cis-ring of the EL–ES1 complexes. The resulting subtomograms of the chambers were then denoised using TOPAZ’s three-dimensional pretrained denoising function71. Because initial attempts to classify the interior of the chamber using STOPGAP multireference-based alignment showed only separation by missing wedge, the subtomograms were combined into 5,000 random bootstraps containing 250 random subtomograms each. These averages were then used to perform k-means clustering with two classes. Bootstraps from the resulting clusters were averaged and used as initial start structures for multireference alignment in STOPGAP. For this, stochastic hill climbing was performed with a temperature factor of 10 for simulated annealing, followed by 40 iterations of multireference alignment with two classes and a mask around the interior of the chamber. This process was repeated five times. Only particles consistently assigned to the same classes were used for a final round of subtomogram averaging, resulting in one class showing weak diffuse density inside the chamber and a second showing strong density near the bottom. Attempts to further subdivide these two classes resulted only in separation based on missing wedge. Because it was not possible to resolve the C7 symmetry mismatch of the substrate and enclosing chamber, final averages were produced for all different biological conditions with C7 symmetry applied to increase the signal-to-noise ratio. The class showing a strong density near the bottom contained 12,255 subtomograms, the one showing only a weak diffuse density with 24,435 subtomograms for the combined 37 °C, HS and MetK datasets.

    In vitro data were processed analogously. The resulting classes were then again split into EL–ES1 and EL–ES2 complexes corresponding to their substrate state and exported to WARP68. An additional round of alignments was performed in RELION for all different classes and complexes. A prior was set for all angles. Local search was performed with a sigma of 0.5 and search angle of 0.9°. The resulting particles were separately refined in M, correcting for geometrical distortions. Particles were again exported from M70 and signal subtraction preformed in RELION of the trans-ring for EL–ES1 and the opposing chambers for EL–ES2. Based on their previous classification results in STOPGAP, the refined signal-subtracted, single-chamber complexes were combined in two groups resulting in 7,087 GroEL–GroES chambers containing an ordered SP and 14,371 that either contained a disordered SP or were empty. The resulting chambers were again locally refined in RELION using priors and a sigma on all angles, yielding a resolution of 9.4 Å for GroEL–GroES chambers containing ordered SP and 8.8 Å for the remaining chambers.

    Cryo-EM single-particle analysis of GroEL–GroES–MetK complexes

    For generation of substrate-bound GroEL–GroES complexes, 4 μM MetK was denatured in the presence of 1 μM GroEL (14-mer) in buffer A (20 mM MOPS-NaOH pH 7.4, 200 mM KCl, 10 mM MgCl2, 5 mM DTT) containing 30 mM NaF and 5 mM BeSO4 by first incubation of the mixture at 60 °C for 15 min and then cooling to 25 °C in a thermomixer (Eppendorf). The addition of 2 μM GroES (7-mer) and 1 mM ATP (pH 7.0) resulted in stable chaperonin complexes with encapsulated MetK40. Biochemical analysis of this preparation was performed by size exclusion chromatography on a Superdex 200 3.2/300 GL column. Fractions were analysed by SDS–PAGE electrophoresis (NuPAGE, Bis-Tris 4–12% gels), and MetK loading of GroEL–GroES complexes was estimated by mass spectrometry using intensity-based absolute quantification values72. For analysis by mass spectrometry, fractions F1 and F2 (Extended Data Fig. 5a) were analysed separately but intensities pooled for the determination of intensity-based absolute quantification ratios.

    GroEL–GroES–MetK samples were concentrated tenfold by ultrafiltration using a 100 kDa Amicon centrifugal concentrator (Millipore) at room temperature. As a control, GroEL and GroES were treated identically in the absence of MetK. Before freezing, 1 μl of a n-octyl-β-d-glucopyranoside stock solution (87.5 mg ml−1 in buffer A) was added per 50 μl of sample. For single-particle analysis and in vitro cryo-ET experiments, 4 μl of the sample was applied onto R 2/1 100 Holey carbon film Cu 200 mesh grids (Quantifoil) previously plasma cleaned for 30 s. This grid was blotted for 3.5 s at force 4 and plunge-frozen in a mixture of liquid ethane and propane cooled by liquid nitrogen using a Vitrobot Mark IV (Thermo Fisher Scientific) at 100% humidity and 4 °C.

    Cryo-EM data for the EL–ES–MetK dataset were acquired using a FEI Titan Krios transmission electron microscope and SerialEM software55. Video frames were recorded at a nominal magnification of ×22,500 using a K3 direct electron detector (Gatan), with a total electron dose of around 55 electrons per Å2 distributed over 30 frames at a calibrated physical pixel size of 1.09 Å. Micrographs were recorded within a defocus range of −0.5 to −3.0 μm.

    On-the-fly image processing and CTF refinement of cryo-EM micrographs were carried out using the Focus software package73. Only micrographs that met the selection criteria (ice thickness under 1.05, drift 0.4 Å < x < 70 Å, refined defocus 0.5 μm < x < 5.5 μm, estimated CTF resolution under 6 Å) were retained. Micrograph frames were aligned using MotionCor2 (ref. 57), and the CTF for aligned frames was determined using GCTF74.

    The control dataset of GroEL–GroES complexes without MetK was acquired similarly but with a nominal magnification of ×29,000, resulting in a calibrated pixel size of 0.84 Å.

    Image processing, classification and refinement for single-particle analysis

    From the resulting 8,945 micrographs of the GroEL–GroES–MetK dataset, 1,561,482 particles were picked using a trained crYOLO network75 and extracted with RELION v.3.1.3 (ref. 69). An initial round of two-dimensional classification was performed and the remaining particles were passed into CryoSPARC76 for further two-dimensional classification, ab initio model building, alignment and initial three-dimensional classification to separate EL–ES1 from EL–ES2 complexes. The remaining EL–ES2 (659,866 particles) and EL–ES1 (294,250 particles) complexes were then exported separately to RELION for additional alignment with imposed symmetry, CTF refinement and Bayesian polishing. For the EL–ES2 complexes, symmetry expansion around the C2 axis was performed and the opposing half removed using RELION’s signal subtraction.

    The resulting asymmetric EL–ES1 complexes were then classified further with CryoDRGN77, resulting in a clean subset of 242,276 particles. The trans-rings of the EL–ES1 complexes were classified in CryoSPARC using a focused mask on the apical domains of the trans-ring, resulting in 169,454 particles in the narrow conformation and 34,755 in the wide conformation. The resulting structures were refined in CryoSPARC under the application of C7 symmetry to a nominal resolution of 2.9 and 3.1 Å, respectively. For the analysis of the cis-chamber, all EL–ES1 particles were pooled and the trans-ring was removed by signal subtraction in RELION.

    The resulting GroES-bound, single-ring particles (1,562,002 particles) were then aligned to a common reference in RELION and exported to CryoSPARC for further alignment without imposed symmetry. The resulting mask and reference were reimported into RELION and used for an additional alignment step with the goal of aligning the asymmetric MetK substrate contained inside the chamber (Extended Data Fig. 5d). Subsequently a second round of signal subtraction was performed and the resulting particles, comprising only MetK density, were further subjected to three-dimensional classification without angular search in RELION. A subset of the resulting classes showed visible secondary structure elements in different orientations (Extended Data Fig. 5d). These classes were then combined and aligned into a single frame of reference in Matlab 2015b by manual rotation with the respective multiple of 360°/7 around the sevenfold symmetry axis. This was done by adding the corresponding increment to particle rotation angles in the particle table (.star file).

    These folded MetK (fMetK) particles were then further locally aligned in CryoSPARC. An additional round of three-dimensional classification was performed followed by a final round of local alignment (322,800 particles), resulting in density for MetK at a resolution of 3.7 Å.

    For the study of MetK contacts with the inner wall of GroEL–GroES chamber, we reverted the signal subtraction in RELION to generate single-ring GroEL–GroES–MetK particles for both the folded MetK and mixed population of chambers either containing disordered MetK or empty; both were refined and aligned in CryoSPARC. The subset containing a mixed population was additionally classified in CryoDRGN between the final alignment steps, resulting in a global resolution of 3.04 Å for the GroEL–GroES–MetK complex containing folded MetK and of 2.94 Å for the complex containing a mixed population of disordered MetK or empty chambers.

    GroEL–GroES complexes without MetK were processed analogously but without Bayesian polishing and CTF refinement in RELION. Signal subtraction was performed in CryoSPARC; using 293,974 particles, this resulted in a map with a global resolution of 2.5 Å following the application of C7 symmetry.

    Densities were visualized and rendered using ChimeraX78,79.

    Model building and refinement

    Model building was initiated by rigid-body fitting the GroEL subdomains, GroES and MetK from the crystal structures PDB 1SX3 (ref. 80), 5OPW12 and 7LOO42, respectively, into cryo-EM density, followed by manual editing using Coot81. The models were subsequently refined in real space with Phenix82. For the refinement of models against low-resolution data from STA, automatically generated restraints from reference structures such as PDB 8P4M (this study) were used. Residues with disordered sidechains were truncated at C-beta.

    Reporting summary

    Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

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  • Architecture and activation mechanism of the bacterial PARIS defence system

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  • Georjon, H. & Bernheim, A. The highly diverse antiphage defence systems of bacteria. Nat. Rev. Microbiol. 21, 686–700 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Hampton, H. G., Watson, B. N. J. & Fineran, P. C. The arms race between bacteria and their phage foes. Nature 577, 327–336 (2020).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Gao, L. A. et al. Prokaryotic innate immunity through pattern recognition of conserved viral proteins. Science 377, eabm4096 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Doron, S. et al. Systematic discovery of antiphage defense systems in the microbial pangenome. Science 359, eaar4120 (2018).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rousset, F. et al. Phages and their satellites encode hotspots of antiviral systems. Cell Host Microbe 30, 740–753 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gao, Z. & Feng, Y. Bacteriophage strategies for overcoming host antiviral immunity. Front. Microbiol. 14, 1211793 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Vassallo, C. N., Doering, C. R., Littlehale, M. L., Teodoro, G. I. C. & Laub, M. T. A functional selection reveals previously undetected anti-phage defence systems in the E. coli pangenome. Nat. Microbiol. 7, 1568–1579 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Makarova, K. S., Wolf, Y. I., Snir, S. & Koonin, E. V. Defense islands in bacterial and archaeal genomes and prediction of novel defense systems. J. Bacteriol. 193, 6039–6056 (2011).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Benler, S. et al. Cargo genes of Tn7-like transposons comprise an enormous diversity of defense systems, mobile genetic elements, and antibiotic resistance genes. mBio 12, e0293821 (2021).

    Article 
    PubMed 

    Google Scholar
     

  • Wu, Y. et al. Bacterial defense systems exhibit synergistic anti-phage activity. Cell Host Microbe 32, 557–572 (2024).

  • Lau, R. K. et al. Structure and mechanism of a cyclic trinucleotide-activated bacterial endonuclease mediating bacteriophage immunity. Mol. Cell 77, 723–733 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lopatina, A., Tal, N. & Sorek, R. Abortive infection: bacterial suicide as an antiviral immune strategy. Annu. Rev. Virol. 7, 371–384 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Makarova, K. S., Anantharaman, V., Grishin, N. V., Koonin, E. V. & Aravind, L. CARF and WYL domains: ligand-binding regulators of prokaryotic defense systems. Front. Genet. 5, 102 (2014).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bondy-Denomy, J. et al. Prophages mediate defense against phage infection through diverse mechanisms. ISME J. 10, 2854–2866 (2016).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Atanasiu, C., Su, T.-J., Sturrock, S. S. & Dryden, D. T. F. Interaction of the ocr gene 0.3 protein of bacteriophage T7 with EcoKI restriction/modification enzyme. Nucleic Acids Res. 30, 3936–3944 (2002).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Walkinshaw, M. D. et al. Structure of Ocr from bacteriophage T7, a protein that mimics B-form DNA. Mol. Cell 9, 187–194 (2002).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Isaev, A. et al. Phage T7 DNA mimic protein Ocr is a potent inhibitor of BREX defence. Nucleic Acids Res. 48, 7601–7602 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Song, S. & Wood, T. K. A primary physiological role of toxin/antitoxin systems is phage inhibition. Front. Microbiol. 11, 1895 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hopfner, K.-P. & Tainer, J. A. Rad50/SMC proteins and ABC transporters: unifying concepts from high-resolution structures. Curr. Opin. Struct. Biol. 13, 249–255 (2003).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Deep, A. et al. The SMC-family Wadjet complex protects bacteria from plasmid transformation by recognition and cleavage of closed-circular DNA. Mol. Cell 82, 4145–4159.e7 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hopfner, K. P. et al. Structural biology of Rad50 ATPase: ATP-driven conformational control in DNA double-strand break repair and the ABC-ATPase superfamily. Cell 101, 789–800 (2000).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Zawadzka, K. et al. MukB ATPases are regulated independently by the N- and C-terminal domains of MukF kleisin. eLife 7, e31522 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Schiltz, C. J., Adams, M. C. & Chappie, J. S. The full-length structure of Thermus scotoductus OLD defines the ATP hydrolysis properties and catalytic mechanism of class 1 OLD family nucleases. Nucleic Acids Res. 48, 2762–2776 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Oerum, S. et al. Structures of B. subtilis maturation RNases captured on 50S ribosome with pre-rRNAs. Mol. Cell 80, 227–236 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ho, C.-H., Wang, H.-C., Ko, T.-P., Chang, Y.-C. & Wang, A. H.-J. The T4 phage DNA mimic protein Arn inhibits the DNA binding activity of the bacterial histone-like protein H-NS. J. Biol. Chem. 289, 27046–27054 (2014).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Nonejuie, P., Burkart, M., Pogliano, K. & Pogliano, J. Bacterial cytological profiling rapidly identifies the cellular pathways targeted by antibacterial molecules. Proc. Natl Acad. Sci. USA 110, 16169–16174 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Burman, N. et al. A virally-encoded tRNA neutralizes the PARIS antiviral defence system. Nature, https://doi.org/10.1038/s41586-024-07874-3 (2024).

  • Bregegere, F. Bacteriophage P2-lambda interference: inhibition of protein synthesis involves transfer RNA inactivation. J. Mol. Biol. 90, 459–467 (1974).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ernits, K. et al. The structural basis of hyperpromiscuity in a core combinatorial network of type II toxin-antitoxin and related phage defense systems. Proc. Natl Acad. Sci. USA 120, e2305393120 (2023).

  • Sironi, G. Mutants of Escherichia coli unable to be lysogenized by the temperate bacteriophage P2. Virology 37, 163–176 (1969).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Krishnan, A., Burroughs, A. M., Iyer, L. M. & Aravind, L. Comprehensive classification of ABC ATPases and their functional radiation in nucleoprotein dynamics and biological conflict systems. Nucleic Acids Res. 48, 10045–10075 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Deng, Y. M., Liu, C. Q. & Dunn, N. W. Genetic organization and functional analysis of a novel phage abortive infection system, AbiL, from Lactococcus lactis. J. Biotechnol. 67, 135–149 (1999).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Miller, W. G. et al. Diversity within the Campylobacter jejuni type I restriction-modification loci. Microbiology 151, 337–351 (2005).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ogura, T. & Hiraga, S. Mini-F plasmid genes that couple host cell division to plasmid proliferation. Proc. Natl Acad. Sci. USA 80, 4784–4788 (1983).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Harms, A., Brodersen, D. E., Mitarai, N. & Gerdes, K. Toxins, targets, and triggers: an overview of toxin-antitoxin biology. Mol. Cell 70, 768–784 (2018).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bobonis, J. et al. Bacterial retrons encode phage-defending tripartite toxin-antitoxin systems. Nature 609, 144–150 (2022).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Zhang, T. et al. Direct activation of a bacterial innate immune system by a viral capsid protein. Nature 612, 132–140 (2022).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fineran, P. C. et al. The phage abortive infection system, ToxIN, functions as a protein-RNA toxin-antitoxin pair. Proc. Natl Acad. Sci. USA 106, 894–899 (2009).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • LeRoux, M. et al. The DarTG toxin-antitoxin system provides phage defence by ADP-ribosylating viral DNA. Nat. Microbiol. 7, 1028–1040 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pecota, D. C. & Wood, T. K. Exclusion of T4 phage by the hok/sok killer locus from plasmid R1. J. Bacteriol. 178, 2044–2050 (1996).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ledvina, H. E. et al. An E1-E2 fusion protein primes antiviral immune signalling in bacteria. Nature 616, 319–325 (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70–82 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D 74, 531–544 (2018).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Deep, A. et al. Structural, functional and biological insights into the role of Mycobacterium tuberculosis VapBC11 toxin–antitoxin system: targeting a tRNase to tackle mycobacterial adaptation. Nucleic Acids Res. 46, 11639–11655 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mirdita, M. et al. ColabFold: making protein folding accessible to all. Nat. Methods 19, 679–682 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Steinegger, M. & Söding, J. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nat. Biotechnol. 35, 1026–1028 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Eastman, P. et al. OpenMM 7: rapid development of high performance algorithms for molecular dynamics. PLoS Comput. Biol. 13, e1005659 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Waterhouse, A. M., Procter, J. B., Martin, D. M. A., Clamp, M. & Barton, G. J. Jalview Version 2—a multiple sequence alignment editor and analysis workbench. Bioinformatics 25, 1189–1191 (2009).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Holm, L. Dali server: structural unification of protein families. Nucleic Acids Res. 50, W210–W215 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ashkenazy, H. et al. ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules. Nucleic Acids Res. 44, W344–W350 (2016).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Schiltz, C. J., Lee, A., Partlow, E. A., Hosford, C. J. & Chappie, J. S. Structural characterization of Class 2 OLD family nucleases supports a two-metal catalysis mechanism for cleavage. Nucleic Acids Res. 47, 9448–9463 (2019).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

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  • Dopamine reuptake and inhibitory mechanisms in human dopamine transporter

    [ad_1]

  • Carlsson, A. The occurrence, distribution and physiological role of catecholamines in the nervous system. Pharmacol. Rev. 11, 490–493 (1959).

    CAS 
    PubMed 

    Google Scholar
     

  • Ritz, M. C., Lamb, R. J., Goldberg, S. R. & Kuhar, M. J. Cocaine receptors on dopamine transporters are related to self-administration of cocaine. Science 237, 1219–1223 (1987).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Giros, B., Jaber, M., Jones, S. R., Wightman, R. M. & Caron, M. G. Hyperlocomotion and indifference to cocaine and amphetamine in mice lacking the dopamine transporter. Nature 379, 606–612 (1996).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Nair-Roberts, R. G. et al. Stereological estimates of dopaminergic, GABAergic and glutamatergic neurons in the ventral tegmental area, substantia nigra and retrorubral field in the rat. Neuroscience 152, 1024–1031 (2008).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Arias-Carrión, O. & Pŏppel, E. Dopamine, learning, and reward-seeking behavior. Acta Neurobiol. Exp. 67, 481–488 (2007).

    Article 

    Google Scholar
     

  • Steinberg, E. E. et al. A causal link between prediction errors, dopamine neurons and learning. Nat. Neurosci. 16, 966–973 (2013).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Giros, B., El Mestikawy, S., Bertrand, L. & Caron, M. G. Cloning and functional characterization of a cocaine-sensitive dopamine transporter. FEBS Lett. 295, 149–154 (1991).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Gu, H., Wall, S. C. & Rudnick, G. Stable expression of biogenic amine transporters reveals differences in inhibitor sensitivity, kinetics, and ion dependence. J. Biol. Chem. 269, 7124–7130 (1994).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Krueger, B. K. Kinetics and block of dopamine uptake in synaptosomes from rat caudate nucleus. J. Neurochem. 55, 260–267 (1990).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Zomot, E. et al. Mechanism of chloride interaction with neurotransmitter:sodium symporters. Nature 449, 726–730 (2007).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Waldman, I. D. et al. Association and linkage of the dopamine transporter gene and attention-deficit hyperactivity disorder in children: heterogeneity owing to diagnostic subtype and severity. Am. J. Hum. Genet. 63, 1767–1776 (1998).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gainetdinov, R. R. & Caron, M. G. Monoamine transporters: from genes to behavior. Annu. Rev. Pharmacol. Toxicol. 43, 261–284 (2003).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sulzer, D., Sonders, M. S., Poulsen, N. W. & Galli, A. Mechanisms of neurotransmitter release by amphetamines: a review. Prog. Neurobiol. 75, 406–433 (2005).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ciccarone, D. Stimulant abuse: pharmacology, cocaine, methamphetamine, treatment, attempts at pharmacotherapy. Prim. Care 38, 41–58 (2011).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mustaquim, D., Jones, C. M. & Compton, W. M. Trends and correlates of cocaine use among adults in the United States, 2006–2019. Addict. Behav. 120, 106950 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kuhar, M. J., Ritz, M. C. & Boja, J. W. The dopamine hypothesis of the reinforcing properties of cocaine. Trends Neurosci. 14, 299–302 (1991).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Woolverton, W. L., Hecht, G. S., Agoston, G. E., Katz, J. L. & Newman, A. H. Further studies of the reinforcing effects of benztropine analogs in rhesus monkeys. Psychopharmacology 154, 375–382 (2001).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Newman, A. H., Allen, A. C., Izenwasser, S. & Katz, J. L. Novel 3 alpha-(diphenylmethoxy)tropane analogs: potent dopamine uptake inhibitors without cocaine-like behavioral profiles. J. Med. Chem. 37, 2258–2261 (1994).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Rothman, R. B., Baumann, M. H., Prisinzano, T. E. & Newman, A. H. Dopamine transport inhibitors based on GBR12909 and benztropine as potential medications to treat cocaine addiction. Biochem. Pharmacol. 75, 2–16 (2008).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Desai, R. I., Kopajtic, T. A., Koffarnus, M., Newman, A. H. & Katz, J. L. Identification of a dopamine transporter ligand that blocks the stimulant effects of cocaine. J. Neurosci. 25, 1889–1893 (2005).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Vocci, F. J., Acri, Jane & Elkashef, A. Medication development for addictive disorders: the state of the science. Am. J. Psychiatry 162, 1432–1440 (2005).

    Article 
    PubMed 

    Google Scholar
     

  • Biederman, J. Attention-deficit/hyperactivity disorder: a life-span perspective. J. Clin. Psychiatry 59, 4–16 (1998).

    PubMed 

    Google Scholar
     

  • Jaeschke, R. R., Sujkowska, E. & Sowa-Kućma, M. Methylphenidate for attention-deficit/hyperactivity disorder in adults: a narrative review. Psychopharmacology 238, 2667–2691 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Volkow, N. D. et al. Dopamine transporter occupancies in the human brain induced by therapeutic doses of oral methylphenidate. Am. J. Psychiatry 155, 1325–1331 (1998).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Solanto, M. V. Neuropsychopharmacological mechanisms of stimulant drug action in attention-deficit hyperactivity disorder: a review and integration. Behav. Brain Res. 94, 127–152 (1998).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Volkow, N. D. & Swanson, J. M. Variables that affect the clinical use and abuse of methylphenidate in the treatment of ADHD. Am. J. Psychiatry 160, 1909–1918 (2003).

    Article 
    PubMed 

    Google Scholar
     

  • Penmatsa, A., Wang, K. H. & Gouaux, E. X-ray structure of dopamine transporter elucidates antidepressant mechanism. Nature 503, 85–90 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wang, K. H., Penmatsa, A. & Gouaux, E. Neurotransmitter and psychostimulant recognition by the dopamine transporter. Nature 521, 322–327 (2015).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhu, A. et al. Molecular basis for substrate recognition and transport of human GABA transporter GAT1. Nat. Struct. Mol. Biol. 30, 1012–1022 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wei, Y. et al. Transport mechanism and pharmacology of the human GlyT1. Cell 187, 1719–1732.e1714 (2024).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Coleman, J. A. et al. Serotonin transporter–ibogaine complexes illuminate mechanisms of inhibition and transport. Nature 569, 141–145 (2019).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yamashita, A., Singh, S. K., Kawate, T., Jin, Y. & Gouaux, E. Crystal structure of a bacterial homologue of Na+/Cl-dependent neurotransmitter transporters. Nature 437, 215–223 (2005).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Li, L. B. et al. The role of N-glycosylation in function and surface trafficking of the human dopamine transporter. J. Biol. Chem. 279, 21012–21020 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Boudanova, E., Navaroli, D. M., Stevens, Z. & Melikian, H. E. Dopamine transporter endocytic determinants: carboxy terminal residues critical for basal and PKC-stimulated internalization. Mol. Cell. Neurosci. 39, 211–217 (2008).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fog, J. U. et al. Calmodulin kinase II interacts with the dopamine transporter C terminus to regulate amphetamine-induced reverse transport. Neuron 51, 417–429 (2006).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Navaroli, D. M. et al. The plasma membrane-associated GTPase Rin interacts with the dopamine transporter and is required for protein kinase C-regulated dopamine transporter trafficking. J. Neurosci. 31, 13758–13770 (2011).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Volkow, N. D. et al. Therapeutic doses of oral methylphenidate significantly increase extracellular dopamine in the human brain. J. Neurosci. 21, RC121 (2001).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gatley, S. J., Pan, D., Chen, R., Chaturvedi, G. & Ding, Y.-S. Affinities of methylphenidate derivatives for dopamine, norepinephrine and serotonin transporters. Life Sci. 58, PL231–PL239 (1996).

    Article 

    Google Scholar
     

  • Rothman, R. B. et al. GBR12909 antagonizes the ability of cocaine to elevate extracellular levels of dopamine. Pharmacol. Biochem. Behav. 40, 387–397 (1991).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Andersen, P. H. Biochemical and pharmacological characterization of [3H]GBR 12935 binding in vitro to rat striatal membranes: labeling of the dopamine uptake complex. J. Neurochem. 48, 1887–1896 (1987).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Andersen, P. H. The dopamine uptake inhibitor GBR 12909: selectivity and molecular mechanism of action. Eur. J. Pharmacol. 166, 493–504 (1989).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Heikkila, R. E. & Manzino, L. Behavioral properties of GBR 12909, GBR 13069 and GBR 13098: specific inhibitors of dopamine uptake. Eur. J. Pharmacol. 103, 241–248 (1984).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Andersen, P. H. The dopamine inhibitor GBR 12909: selectivity and molecular mechanism of action. Eur. J. Pharmacol. 166, 493–504 (1989).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Hiranita, T., Soto, P. L., Newman, A. H. & Katz, J. L. Assessment of reinforcing effects of benztropine analogs and their effects on cocaine self-administration in rats: comparisons with monoamine uptake inhibitors. J. Pharmacol. Exp. Ther. 329, 677–686 (2009).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kopajtic, T. A. et al. Dopamine transporter-dependent and -independent striatal binding of the benztropine analog JHW 007, a cocaine antagonist with low abuse liability. J. Pharmacol. Exp. Ther. 335, 703–714 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Velázquez-Sánchez, C., Ferragud, A., Murga, J., Cardá, M. & Canales, J. J. The high affinity dopamine uptake inhibitor, JHW 007, blocks cocaine-induced reward, locomotor stimulation and sensitization. Eur. Neuropsychopharmacol. 20, 501–508 (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Katz, J. L., Kopajtic, T. A., Agoston, G. E. & Newman, A. H. Effects of N-substituted analogs of benztropine: diminished cocaine-like effects in dopamine transporter ligands. J. Pharmacol. Exp. Ther. 309, 650–660 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bisgaard, H. et al. The binding sites for benztropines and dopamine in the dopamine transporter overlap. Neuropharmacology 60, 182–190 (2011).

    Article 
    MathSciNet 
    CAS 
    PubMed 

    Google Scholar
     

  • Beuming, T. et al. The binding sites for cocaine and dopamine in the dopamine transporter overlap. Nat. Neurosci. 11, 780–789 (2008).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Niello, M. et al. Persistent binding at dopamine transporters determines sustained psychostimulant effects. Proc. Natl Acad. Sci. USA 120, e2114204120 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Desai, R. I., Kopajtic, T. A., French, D., Newman, A. H. & Katz, J. L. Relationship between in vivo occupancy at the dopamine transporter and behavioral effects of cocaine, GBR 12909 [1-{2-[bis-(4-fluorophenyl)methoxy]ethyl}-4-(3-phenylpropyl)piperazine], and benztropine analogs. J. Pharmacol. Exp. Ther. 315, 397–404 (2005).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Gorentla, B. K. & Vaughan, R. A. Differential effects of dopamine and psychoactive drugs on dopamine transporter phosphorylation and regulation. Neuropharmacology 49, 759–768 (2005).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D 60, 2126–2132 (2004).

    Article 
    ADS 
    PubMed 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D 66, 213–221 (2010).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D 74, 531–544 (2018).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • DeLano, W. L. Pymol: an open-source molecular graphics tool. CCP4 Newsl. Protein Crystallogr. 40, 82–92 (2002).


    Google Scholar
     

  • Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

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  • Bjorklund, A. & Dunnett, S. B. Dopamine neuron systems in the brain: an update. Trends Neurosci. 30, 194–202 (2007).

    Article 
    PubMed 

    Google Scholar
     

  • Clarke, R. L. et al. Compounds affecting the central nervous system. 4. 3 Beta-phenyltropane-2-carboxylic esters and analogs. J. Med. Chem. 16, 1260–1267 (1973).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Janowsky, A., Tosh, D. K., Eshleman, A. J. & Jacobson, K. A. Rigid adenine nucleoside derivatives as novel modulators of the human sodium symporters for dopamine and norepinephrine. J. Pharm. Expt. Therapeutics 357, 24–35 (2016).

    Article 
    CAS 

    Google Scholar
     

  • Norregaard, L., Fredericksen, D., Nielsen, E. O. & Gether, U. Delineation of an endogenous zinc-binding site in the human dopamine transporter. EMBO J. 17, 4266–4273 (1998).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Speranza, L., di Porzio, U., Viggiano, D., de Donato, A. & Volpicelli, F. Dopamine: the neuromodulator of long-term synaptic plasticity, reward and movement control. Cells 10, 735 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bucolo, C., Leggio, G. M., Drago, F. & Salomone, S. Dopamine outside the brain: the eye, cardiovascular system and endocrine pancreas. Pharmacol. Ther. 203, 107392 (2019).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Kandel, E. R., Schwartz, J. H.and Jessel, T. M. Principles of Neural Science (Appleton and Lange, 1991).

  • Goetz, C. G. The history of Parkinson’s disease: early clinical descriptions and neurological therapies. Cold Spring Harb. Perspect. Med. 1, a008862 (2011).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Klein, M. O. et al. Dopamine: functions, signaling, and association with neurological diseases. Cell. Mol. Neurobiol. 39, 31–59 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Groom, M. J. & Cortese, S. Current pharmacological treatments for ADHD. Curr. Top. Behav. Neurosci. 57, 19–50 (2022).

    Article 
    PubMed 

    Google Scholar
     

  • Newman, A. H., Ku, T., Jordan, C. J., Bonifazi, A. & Xi, Z. X. New drugs, old targets: tweaking the dopamine system to treat psychostimulant use disorders. Annu. Rev. Pharmacol. Toxicol. 61, 609–628 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rudnick, G., Krämer, R., Blakely, R. D., Murphy, D. L. & Verrey, F. The SLC6 transporters: perspectives on structure, functions, regulation, and models for transporter dysfunction. Pflugers Arch. 466, 25–42 (2014).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Mitchell, P. A general theory of membrane transport from studies of bacteria. Nature 180, 134–136 (1957).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Schmidt, S. G. et al. The dopamine transporter antiports potassium to increase the uptake of dopamine. Nat. Commun. 13, 2446 (2022).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Frederickson, C. J. et al. Synaptic release of zinc from brain slices: factors governing release, imaging, and accurate calculation of concentration. J. Neurosci. Methods 154, 19–29 (2006).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Tosh, D. K. et al. Scaffold repurposing of nucleosides (adenosine receptor agonists): enhanced activity at the human dopamine and norepinephrine sodium symporters. J. Med. Chem. 60, 3109–3123 (2017).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Aggarwal, S. et al. Identification of a novel allosteric modulator of the human dopamine transporter. ACS Chem. Neurosci. 10, 3718–3730 (2019).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Penmatsa, A., Wang, K. H. & Gouaux, E. X-ray structure of dopamine transporter elucidates antidepressant mechanism. Nature 503, 85–90 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wang, K. H., Penmatsa, A. & Gouaux, E. Neurotransmitter and psychostimulant recognition by the dopamine transporter. Nature 521, 322–327 (2015).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Penmatsa, A., Wang, K. H. & Gouaux, E. X-ray structures of Drosophila dopamine transporter in complex with nisoxetine and reboxetine. Nat. Struct. Mol. Biol. 22, 506–508 (2015).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Navratna, V., Tosh, D. K., Jacobson, K. A. & Gouaux, E. Thermostabilization and purification of the human dopamine transporter (hDAT) in an inhibitor and allosteric ligand bound conformation. PLoS ONE 13, e0200085 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kristensen, A. S. et al. SLC6 neurotransmitter transporters: structure, function and regulation. Pharmacol. Rev. 63, 585–640 (2011).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Aggarwal, S. & Mortensen, O. V. Discovery and development of monoamine transporter ligands. Adv. Neurobiol. 30, 101–129 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jayaraman, K. et al. SLC6 transporter oligomerization. J. Neurochem. 157, 919–929 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yamashita, A., Singh, S. K., Kawate, T., Jin, Y. & Gouaux, E. Crystal structure of a bacterial homologue of Na+/Cl dependent neurotransmitter transporters. Nature 437, 215–223 (2005).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Hong, W. C. & Amara, S. G. Membrane cholesterol modulates the outward facing conformation of the dopamine transporter and alters cocaine binding. J. Biol. Chem. 285, 32616–32626 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jones, K. T., Zhen, J. & Reith, M. E. Importance of cholesterol in dopamine transporter function. J. Neurochem. 123, 700–715 (2012).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zeppelin, T., Ladefoged, L. K., Sinning, S., Periole, X. & Schiott, B. A direct interaction of cholesterol with the dopamine transporter prevents its out-to-inward transition. PLoS Comput. Biol. 14, e1005907 (2018).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Coleman, J. A., Green, E. M. & Gouaux, E. X-ray structures and mechanism of the human serotonin transporter. Nature 532, 334–339 (2016).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Li, L. B. et al. The role of N-glycosylation in function and surface trafficking of the human dopamine transporter. J. Biol. Chem. 279, 21012–21020 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Reeves, P. J., Callewaert, N., Contreras, R. & Khorana, H. G. Structure and function in rhodopsin: high-level expression of rhodopsin with restricted and homogeneous N-glycosylation by a tetracycline-inducible N-acetylglucosaminyltransferase I-negative HEK293S stable mammalian cell line. Proc. Natl Acad. Sci. USA 99, 13419–13424 (2002).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kuhar, M. J. et al. Studies of selected phenyltropanes at monoamine transporters. Drug Alcohol Depend. 56, 9–15 (1999).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wong, E. H. et al. Reboxetine: a pharmacologically potent, selective, and specific norepinephrine reuptake inhibitor. Biol. Psychiatry 47, 818–829 (2000).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Andersen, J., Ringsted, K. B., Bang-Andersen, B., Stromgaard, K. & Kristensen, A. S. Binding site residues control inhibitor selectivity in the human norepinephrine transporter but not in the human dopamine transporter. Sci. Rep. 5, 15650 (2015).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Owens, M. J., Knight, D. L. & Nemeroff, C. B. Second-generation SSRIs: human monoamine transporter binding profile of escitalopram and R-fluoxetine. Biol. Psychiatry 50, 345–350 (2001).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Gu, H., Wall, S. C. & Rudnick, G. Stable expression of biogenic amine transporters reveals differences in inhibitor sensitivity, kinetics, and ion dependence. J. Biol. Chem. 269, 7124–7130 (1994).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wang, H. et al. Structural basis for action by diverse antidepressants on biogenic amine transporters. Nature 503, 141–145 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Krishnamurthy, H., Piscitelli, C. L. & Gouaux, E. Unlocking the molecular secrets of sodium-coupled transporters. Nature 459, 347–355 (2009).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kitayama, S. et al. Dopamine transporter site-directed mutations differentially alter substrate transport and cocaine binding. Proc. Natl Acad. Sci. USA 89, 7782–7785 (1992).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bismuth, Y., Kavanaugh, M. P. & Kanner, B. I. Tyrosine 140 of the gamma-aminobutyric acid transporter GAT-1 plays a critical role in neurotransmitter recognition. J. Biol. Chem. 272, 16096–16102 (1997).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yang, D. & Gouaux, E. Illumination of serotonin transporter mechanism and role of the allosteric site. Sci. Adv. 7, eabl3857 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yang, D., Zhao, Z., Tajkhorshid, E. & Gouaux, E. Structures and membrane interactions of native serotonin transporter in complexes with psychostimulants. Proc. Natl Acad. Sci. USA 120, e2304602120 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yamashita, A., Singh, S. K., Kawate, T., Jin, Y. & Gouaux, E. Crystal structure of a bacterial homologue of Na+/Cl-dependent neurotransmitter transporters. Nature 437, 215–223 (2005).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Plenge, P. et al. The antidepressant drug vilazodone is an allosteric inhibitor of the serotonin transporter. Nat. Commun. 12, 5063 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Aniksztejn, L., Charton, G. & Ben-Ari, Y. Selective release of endogenous zinc from the hippocampal mossy fibers in situ. Brain Res. 404, 58–64 (1987).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Stockner, T. et al. Mutational analysis of the high-affinity zinc binding site validates a refined human dopamine transporter homology model. PLoS Comput. Biol. 9, e1002909 (2013).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Loland, C. J., Norregaard, L. & Gether, U. Defining proximity relationships in the tertiary structure of the dopamine transporter. Identification of a conserved glutamic acid as a third coordinate in the endogenous Zn2+-binding site. J. Biol. Chem. 274, 36928–36934 (1999).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Goehring, A. et al. Screening and large-scale expression of membrane proteins in mammalian cells for structural studies. Nat. Protoc. 9, 2574–2585 (2014).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kubala, M. H., Kovtun, O., Alexandrov, K. & Collins, B. M. Structural and thermodynamic analysis of the GFP:GFP-nanobody complex. Protein Sci. 19, 2389–2401 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Guo, H. et al. Electron-event representation data enable efficient cryoEM file storage with full preservation of spatial and temporal resolution. IUCrJ 7, 860–869 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wright, N. J. et al. Methotrexate recognition by the human reduced folate carrier SLC19A1. Nature 609, 1056–1062 (2022).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Punjani, A., Zhang, H. & Fleet, D. J. Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction. Nat. Methods 17, 1214–1221 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70–82 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Casanal, A., Lohkamp, B. & Emsley, P. Current developments in Coot for macromolecular model building of electron cryo-microscopy and crystallographic data. Protein Sci. 29, 1069–1078 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Liebschner, D. et al. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix. Acta Crystallogr. D 75, 861–877 (2019).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D 74, 531–544 (2018).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Chen, V. B. et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D 66, 12–21 (2010).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Gucwa, M. et al. CMM-An enhanced platform for interactive validation of metal binding sites. Protein Sci. 32, e4525 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Amunts, A. et al. Structure of the yeast mitochondrial large ribosomal subunit. Science 343, 1485–1489 (2014).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Alvadia, C. et al. Cryo-EM structures and functional characterization of the murine lipid scramblase TMEM16F. eLife 8, e44365 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Waterhouse, A. et al. SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Res. 46, W296–W303 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Quick, M. & Javitch, J. A. Monitoring the function of membrane transport proteins in detergent-solubilized form. Proc. Natl Acad. Sci. USA 104, 3603–3608 (2007).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jacobson, M. P. et al. A hierarchical approach to all-atom protein loop prediction. Proteins 55, 351–367 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sastry, G. M., Adzhigirey, M., Day, T., Annabhimoju, R. & Sherman, W. Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments. J. Comput. Aided Mol. Des. 27, 221–234 (2013).

    Article 
    ADS 
    PubMed 

    Google Scholar
     

  • Gumbart, J., Trabuco, L. G., Schreiner, E., Villa, E. & Schulten, K. Regulation of the protein-conducting channel by a bound ribosome. Structure 17, 1453–1464 (2009).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhang, L. & Hermans, J. Hydrophilicity of cavities in proteins. Proteins 24, 433–438 (1996).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Jo, S., Kim, T., Iyer, V. G. & Im, W. CHARMM-GUI: a web-based graphical user interface for CHARMM. J. Comput. Chem. 29, 1859–1865 (2008).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Lomize, M. A., Pogozheva, I. D., Joo, H., Mosberg, H. I. & Lomize, A. L. OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Res. 40, D370–D376 (2012). (Database issue).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Tian, C. et al. ff19SB: amino-acid-specific protein backbone parameters trained against quantum mechanics energy surfaces in solution. J. Chem. Theory Comput. 16, 528–552 (2020).

    Article 
    PubMed 

    Google Scholar
     

  • Dickson, C. J., Walker, R. C. & Gould, I. R. Lipid21: complex lipid membrane simulations with AMBER. J. Chem. Theory Comput. 18, 1726–1736 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W. & Klein, M. L. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 79, 926–935 (1983).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Li, P., Song, L. F. & Merz, K. M. Jr Parameterization of highly charged metal ions using the 12-6-4 LJ-type nonbonded model in explicit water. J. Phys. Chem. B 119, 883–895 (2015).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yoo, J. & Aksimentiev, A. New tricks for old dogs: improving the accuracy of biomolecular force fields by pair-specific corrections to non-bonded interactions. Phys. Chem. Chem. Phys. 20, 8432–8449 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lu, C. et al. OPLS4: improving force field accuracy on challenging regimes of chemical space. J. Chem. Theory Comput. 17, 4291–4300 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Shelley, J. C. et al. Epik: a software program for pKa prediction and protonation state generation for drug-like molecules. J. Comput. Aided Mol. Des. 21, 681–691 (2007).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Wang, J., Wolf, R. M., Caldwell, J. W., Kollman, P. A. & Case, D. A. Development and testing of a general amber force field. J. Comput. Chem. 25, 1157–1174 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • He, X., Man, V. H., Yang, W., Lee, T. S. & Wang, J. A fast and high-quality charge model for the next generation general AMBER force field. J. Chem. Phys. 153, 114502 (2020).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Case, D. A. et al. AMBER 2020 (University of California, San Francisco, 2020).

  • Pastor, R. W., Brooks, B. R. & Szabo, A. An analysis of the accuracy of Langevin and molecular dynamics algorithms. Mol. Phys. 65, 1409–1419 (1988).

    Article 
    ADS 

    Google Scholar
     

  • Aqvist, J., Wennerstrom, P., Nervall, M., Bjelic, S. & Brandsdal, B. O. Molecular dynamics simulations of water and biomolecules with a Monte Carlo constant pressure algorithm. Chem. Phys. Lett. 384, 288–294 (2004).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Darden, T., York, D. & Pedersen, L. Particle mesh Ewald: an N.log(N) method for Ewald sums in large systems. J. Chem. Phys. 98, 10089–10092 (1993).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Ryckaert, J.-P., Ciccotti, G. & Berendsen, H. J. C. Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes. J. Comput. Physics 23, 327–341 (1977).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Case, D. A. et al. AmberTools. J. Chem. Inf. Model. 63, 6183–6191 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Roe, D. R. & Cheatham, T. E. 3rd PTRAJ and CPPTRAJ: software for processing and analysis of molecular dynamics trajectory data. J. Chem. Theory Comput. 9, 3084–3095 (2013).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sk, M. F. & Tajkhorshid, E. Raw data for: Structure of the human dopamine transporter and mechanisms of allosteric inhibition. Zenodo https://doi.org/10.5281/zenodo.11391488 (2024).

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  • Giros, B., Jaber, M., Jones, S. R., Wightman, R. M. & Caron, M. G. Hyperlocomotion and indifference to cocaine and amphetamine in mice lacking the dopamine transporter. Nature 379, 606–612 (1996).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Kristensen, A. S. et al. SLC6 neurotransmitter transporters: structure, function, and regulation. Pharmacol. Rev. 63, 585–640 (2011).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Chen, R. et al. Abolished cocaine reward in mice with a cocaine-insensitive dopamine transporter. Proc. Natl Acad. Sci. USA 103, 9333–9338 (2006).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Davis, S. E., Cirincione, A. B., Jimenez-Torres, A. C. & Zhu, J. The impact of neurotransmitters on the neurobiology of neurodegenerative diseases. Int. J. Mol. Sci. 24, 15340 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jones, S. R. et al. Profound neuronal plasticity in response to inactivation of the dopamine transporter. Proc. Natl Acad. Sci. USA 95, 4029–4034 (1998).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wang, K. H., Penmatsa, A. & Gouaux, E. Neurotransmitter and psychostimulant recognition by the dopamine transporter. Nature 521, 322–327 (2015).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Penmatsa, A., Wang, K. H. & Gouaux, E. X-ray structure of dopamine transporter elucidates antidepressant mechanism. Nature 503, 85–90 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Plenge, P. et al. The antidepressant drug vilazodone is an allosteric inhibitor of the serotonin transporter. Nat. Commun. 12, 5063 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yang, D. & Gouaux, E. Illumination of serotonin transporter mechanism and role of the allosteric site. Sci. Adv. 7, eabl3857 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Coleman, J. A., Green, E. M. & Gouaux, E. X-ray structures and mechanism of the human serotonin transporter. Nature 532, 334–339 (2016).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Shahsavar, A. et al. Structural insights into the inhibition of glycine reuptake. Nature 591, 677–681 (2021).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Wei, Y. et al. Transport mechanism and pharmacology of the human GlyT1. Cell 187, 1719–1732 (2024).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Motiwala, Z. et al. Structural basis of GABA reuptake inhibition. Nature 606, 820–826 (2022).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Nayak, S. R. et al. Cryo-EM structure of GABA transporter 1 reveals substrate recognition and transport mechanism. Nat. Struct. Mol. Biol. 30, 1023–1032 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhu, A. et al. Molecular basis for substrate recognition and transport of human GABA transporter GAT1. Nat. Struct. Mol. Biol. 30, 1012–1022 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yamashita, A., Singh, S. K., Kawate, T., Jin, Y. & Gouaux, E. Crystal structure of a bacterial homologue of Na+/Cl-dependent neurotransmitter transporters. Nature 437, 215–223 (2005).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Loland, C. J. The use of LeuT as a model in elucidating binding sites for substrates and inhibitors in neurotransmitter transporters. Biochim. Biophys. Acta 1850, 500–510 (2015).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Rudnick, G. & Sandtner, W. Serotonin transport in the 21st century. J. Gen. Physiol. 151, 1248–1264 (2019).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Borre, L., Andreassen, T. F., Shi, L., Weinstein, H. & Gether, U. The second sodium site in the dopamine transporter controls cation permeation and is regulated by chloride. J. Biol. Chem. 289, 25764–25773 (2014).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Tavoulari, S. et al. Two Na+ sites control conformational change in a neurotransmitter transporter homolog. J. Biol. Chem. https://doi.org/10.1074/jbc.M115.692012 (2016).

    Article 
    PubMed 

    Google Scholar
     

  • Nelson, P. J. & Rudnick, G. Coupling between platelet 5-hydroxytryptamine and potassium transport. J. Biol. Chem. 254, 10084–10089 (1979).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Hellsberg, E. et al. Identification of the potassium-binding site in serotonin transporter. Proc. Natl Acad. Sci. USA 121, e2319384121 (2024).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Schmidt, S. G. et al. The dopamine transporter antiports potassium to increase the uptake of dopamine. Nat. Commun. 13, 2446 (2022).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bhat, S. et al. Handling of intracellular K+ determines voltage dependence of plasmalemmal monoamine transporter function. eLife 10, e67996 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zeppelin, T., Ladefoged, L. K., Sinning, S., Periole, X. & Schiott, B. A direct interaction of cholesterol with the dopamine transporter prevents its out-to-inward transition. PLoS Comput. Biol. 14, e1005907 (2018).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pidathala, S., Mallela, A. K., Joseph, D. & Penmatsa, A. Structural basis of norepinephrine recognition and transport inhibition in neurotransmitter transporters. Nat. Commun. 12, 2199 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pörzgen, P., Park, S. K., Hirsh, J., Sonders, M. S. & Amara, S. G. The antidepressant-sensitive dopamine transporter in Drosophila melanogaster: a primordial carrier for catecholamines. Mol. Pharmacol. 59, 83–95 (2001).

    Article 
    PubMed 

    Google Scholar
     

  • Pugh, C. F., DeVree, B. T., Schmidt, S. G. & Loland, C. J. Pharmacological characterization of purified full-length dopamine transporter from Drosophila melanogaster. Cells 11, 3811 (2022).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yang, D., Zhao, Z., Tajkhorshid, E. & Gouaux, E. Structures and membrane interactions of native serotonin transporter in complexes with psychostimulants. Proc. Natl Acad. Sci. USA 120, e2304602120 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Chae, P. S. et al. A new class of amphiphiles bearing rigid hydrophobic groups for solubilization and stabilization of membrane proteins. Chemistry 18, 9485–9490 (2012).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bjerggaard, C. et al. Surface targeting of the dopamine transporter involves discrete epitopes in the distal C terminus but does not require canonical PDZ domain interactions. J. Neurosci. 24, 7024–7036 (2004).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Li, L. B. et al. The role of N-glycosylation in function and surface trafficking of the human dopamine transporter. J. Biol. Chem. 279, 21012–21020 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Garcia-Olivares, J. et al. Gβγ subunit activation promotes dopamine efflux through the dopamine transporter. Mol. Psychiatry 22, 1673–1679 (2017).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fog, J. U. et al. Calmodulin kinase II interacts with the dopamine transporter C terminus to regulate amphetamine-induced reverse transport. Neuron 51, 417–429 (2006).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Cremona, M. L. et al. Flotillin-1 is essential for PKC-triggered endocytosis and membrane microdomain localization of DAT. Nat. Neurosci. 14, 469–477 (2011).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ehsan, M. et al. New malonate-derived tetraglucoside detergents for membrane protein stability. ACS Chem. Biol. 15, 1697–1707 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Sørensen, L. et al. Interaction of antidepressants with the serotonin and norepinephrine transporters: mutational studies of the S1 substrate binding pocket. J. Biol. Chem. 287, 43694–43707 (2012).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Henry, L. K. et al. Tyr-95 and Ile-172 in transmembrane segments 1 and 3 of human serotonin transporters interact to establish high affinity recognition of antidepressants. J. Biol. Chem. 281, 2012–2023 (2006).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Beuming, T. et al. The binding sites for cocaine and dopamine in the dopamine transporter overlap. Nat. Neurosci. 11, 780–789 (2008).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Cheng, M. H. & Bahar, I. Molecular mechanism of dopamine transport by human dopamine transporter. Structure 23, 2171–2181 (2015).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Plenge, P. et al. Steric hindrance mutagenesis in the conserved extracellular vestibule impedes allosteric binding of antidepressants to the serotonin transporter. J. Biol. Chem. 287, 39316–39326 (2012).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Salomon, K. et al. Dynamic extracellular vestibule of human SERT: unveiling druggable potential with high-affinity allosteric inhibitors. Proc. Natl Acad. Sci. USA 120, e2304089120 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Plenge, P. et al. The mechanism of a high-affinity allosteric inhibitor of the serotonin transporter. Nat. Commun. 11, 1491 (2020).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Coleman, J. A. et al. Chemical and structural investigation of the paroxetine-human serotonin transporter complex. eLife 9, e56427 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Laursen, L. et al. Cholesterol binding to a conserved site modulates the conformation, pharmacology, and transport kinetics of the human serotonin transporter. J. Biol. Chem. 293, 3510–3523 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Nielsen, A. K. et al. Substrate-induced conformational dynamics of the dopamine transporter. Nat. Commun. 10, 2714 (2019).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bloch, J. S. et al. Development of a universal nanobody-binding Fab module for fiducial-assisted cryo-EM studies of membrane proteins. Proc. Natl Acad. Sci. USA 118, e2115435118 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wu, S. et al. Fabs enable single particle cryoEM studies of small proteins. Structure 20, 582–592 (2012).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Esendir, E. et al. Extracellular loops of the serotonin transporter act as a selectivity filter for drug binding. J. Biol. Chem. 297, 100863 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Spyrakis, F. et al. The roles of water in the protein matrix: a largely untapped resource for drug discovery. J. Med. Chem. 60, 6781–6827 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Okorom, A. V. et al. Modifications to 1-(4-(2-bis(4-fluorophenyl)methyl)sulfinyl)alkyl alicyclic amines that improve metabolic stability and retain an atypical DAT inhibitor profile. J. Med. Chem. https://doi.org/10.1021/acs.jmedchem.3c02037 (2024).

  • Chen, N., Zhen, J. & Reith, M. E. A. Mutation of Trp84 and Asp313 of the dopamine transporter reveals similar mode of binding interaction for GBR12909 and benztropine as opposed to cocaine. J. Neurochem. 89, 853–864 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Mager, S. et al. Ion binding and permeation at the GABA transporter GAT1. J. Neurosci. 16, 5405–5414 (1996).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Coleman, J. A. et al. Serotonin transporter–ibogaine complexes illuminate mechanisms of inhibition and transport. Nature 569, 141–145 (2019).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hong, W. C. & Amara, S. G. Membrane cholesterol modulates the outward facing conformation of the dopamine transporter and alters cocaine binding. J. Biol. Chem. 285, 32616–32626 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Frangos, Z. J. et al. Membrane cholesterol regulates inhibition and substrate transport by the glycine transporter, GlyT2. Life Sci. Alliance 6, e202201708 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Merkle, P. S. et al. Substrate-modulated unwinding of transmembrane helices in the NSS transporter LeuT. Sci. Adv. 4, eaar6179 (2018).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zou, M. F. et al. Structure–activity relationship studies on a series of 3α-[Bis(4-fluorophenyl)methoxy]tropanes and 3α-[Bis(4-fluorophenyl)methylamino]tropanes as novel atypical dopamine transporter (DAT) inhibitors for the treatment of cocaine use disorders. J. Med. Chem. 60, 10172–10187 (2017).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Loland, C. J. et al. R-modafinil (armodafinil): a unique dopamine uptake inhibitor and potential medication for psychostimulant abuse. Biol. Psychiatry 72, 405–413 (2012).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Loland, C. J. et al. Relationship between conformational changes in the dopamine transporter and cocaine-like subjective effects of uptake inhibitors. Mol. Pharmacol. 73, 813–823 (2008).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pettersen, E. F. et al. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Liebschner, D. et al. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix. Acta Crystallogr. D Struct. Biol. 75, 861–877 (2019).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dewar, M. J. S., Zoebisch, E. G., Healy, E. F. & Stewart, J. J. P. Development and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular model. J. Am. Chem. Soc. 107, 3902–3909 (1985).

    Article 

    Google Scholar
     

  • Chen, V. B. et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D Biol. Crystallogr. 66, 12–21 (2010).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Shelley, J. C. et al. Epik: a software program for pKa prediction and protonation state generation for drug-like molecules. J. Comput. Aided Mol. Des. 21, 681–691 (2007).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Lomize, M. A., Pogozheva, I. D., Joo, H., Mosberg, H. I. & Lomize, A. L. OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Res. 40, D370–D376 (2012).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Vanommeslaeghe, K. et al. CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields. J. Comput. Chem. 31, 671–690 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lee, J. et al. CHARMM-GUI input generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM simulations using the CHARMM36 additive force field. J. Chem. Theory Comput. 12, 405–413 (2016).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Huang, J. et al. CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nat. Methods 14, 71–73 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Klauda, J. B. et al. Update of the CHARMM all-atom additive force field for lipids: validation on six lipid types. J. Phys. Chem. B 114, 7830–7843 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W. & Klein, M. L. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 79, 926–935 (1983).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Bussi, G., Donadio, D. & Parrinello, M. Canonical sampling through velocity rescaling. J. Chem. Phys. https://doi.org/10.1063/1.2408420 (2007).

  • Nosé, S. & Klein, M. L. Constant pressure molecular dynamics for molecular systems. Mol. Phys. 50, 1055–1076 (1983).

    Article 
    ADS 

    Google Scholar
     

  • Darden, T., York, D. & Pedersen, L. Particle mesh Ewald: an Nlog(N) method for Ewald sums in large systems. J. Chem. Phys. 98, 10089–10092 (1993).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Hess, B., Bekker, H., Berendsen, H. J. C. & Fraaije, J. G. E. M. LINCS: a linear constraint solver for molecular simulations. J. Comput. Chem. 18, 1463–1472 (1997).

    Article 
    CAS 

    Google Scholar
     

  • Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Nielsen, J. C. et al. MD simulations files for: structure of the human dopamine transporter in complex with cocaine. Zenodo https://doi.org/10.5281/zenodo.10804003 (2024).

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  • FANCD2–FANCI surveys DNA and recognizes double- to single-stranded junctions

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    Cloning and protein purification

    A codon-optimized construct of full-length Gallus gallus FANCD2 including a carboxyl-terminal double StrepII tag was synthesized (GeneArt) and cloned into pACEBac1. The ybbR protein tag comprising the sequence DSLEFIASKLA was fused to the C terminus of FANCD2 by polymerase chain reaction (PCR). A similar strategy was used for the generation of ybbR-tagged FANCI, except the FANCI gene contained a C-terminal extension with a 3C protease site and 6×His-tag before the ybbR tag (protein sequences in Supplementary Data 1). The resulting pACEBac1 vectors containing either tagged FANCD2 or tagged FANCI were transformed into EMBacY Escherichia coli competent cells for bacmid generation. The purified bacmids were transfected into Sf9 cells (Oxford Expression Technologies Ltd, Catalogue No. 600100) and the viruses passaged twice before large-scale cultures were infected using 5 ml of P2 virus in 500 ml of Sf9 cells at 1.5 × 106 cells per millilitre. Cells were harvested on growth arrest, typically 2 or 3 days after infection. Sf9 cells were not authenticated but were tested regularly for Mycoplasma.

    Purification of ybbR-tagged FANCD2 was carried out as previously described for FANCD2 (ref. 9): cells were lysed by sonication in lysis buffer (100 mM HEPES (pH 7.5), 300 mM NaCl, 1 mM TCEP, 5% glycerol, EDTA-free protease inhibitor (Roche), 5 mM benzamidine hydrochloride and 100 U ml−1 Benzonase). The clarified cell lysate was incubated with Strep-Tactin Sepharose high-performance resin (GE Healthcare Life Sciences) for 60 min. The loaded resin was poured into a glass column and washed twice with lysis buffer before elution with 8 mM D-desthiobiotin. The elution was then diluted to roughly 100 mM NaCl and loaded onto a HiTrap Heparin HP affinity column (GE Healthcare Life Sciences). Using a shallow NaCl gradient, ybbR-tagged FANCD2 eluted at about 500 mM NaCl. FANCD2 was concentrated and run on a Superdex 200 26/60 column (GE Healthcare Life Sciences) in 50 mM HEPES (pH 7.5), 150 mM NaCl and 1 mM TCEP. Fractions containing pure ybbR-tagged FANCD2 were pooled, concentrated to roughly 10 mg ml−1 and flash frozen for storage at −80 °C or used immediately for fluorescence labelling.

    Similarly, purification of ybbR-tagged FANCI was performed as previously described for FANCI9: clarified cell lysate produced as for FANCD2 was loaded onto a HisTrap HP column (GE Healthcare Life Sciences). Using an imidazole gradient, FANCI eluted at about 200 mM imidazole. Collected fractions containing FANCI were diluted to 100 mM NaCl and loaded onto a HiTrap Heparin HP affinity column (GE Healthcare Life Sciences). Using a shallow NaCl gradient, FANCI eluted at roughly 500 mM NaCl. FANCI was then run on a Superdex 200 26/60 column (GE Healthcare Life Sciences) in 50 mM HEPES (pH 7.5), 150 mM NaCl and 1 mM TCEP. Fractions containing FANCI were pooled and concentrated to about 10 mg ml−1 and flash frozen for storage at −80 °C or used immediately for fluorescence labelling.

    Human FANCD2 and FANCI, which both carry a carboxyl-terminal double StrepII tag, were synthesized and cloned into pACEBac1 (Epoch Life Science). Human FANCD2 and FANCI were expressed and purified separately as individual proteins in the same way as chicken FANCD2 and FANCI with two adjustments. Both human FANCD2 and FANCI were incubated with Strep-Tactin resin (IBA), eluted with 8 mM D-desthiobiotin and incubated with the 3 C protease (1:100 ratio of protease to the protein of interest) to cleave the carboxyl-terminal tag for 16 h at 4 °C. Following heparin affinity, human FANCD2 and FANCI were concentrated and run on a Superdex 200 16/60 column (GE Healthcare Life Sciences). Fractions containing the protein of interest were finally concentrated to about 4.5 mg ml−1 and flash frozen for storage at −80 °C.

    Sample purity was assessed at each step of the purification by sodium dodecyl sulfate (SDS)–polyacrylamide gel electrophoresis (PAGE) using 4–12% NuPAGE Bis-Tris gels (Thermo Fisher Scientific), and the Gel Doc XR+ system (Bio-Rad) was used for gel imaging. Throughout purification, we routinely monitored the absorbance at 260 nm and 280 nm. The A260 nm to A280 nm ratio showed that there is no substantial nucleic acid contamination in the protein purifications.

    To generate the FANCD2 KR helix mutants, the respective lysines or arginines were mutated to alanine or glutamic acid by replacing the KR helix in wild-type FANCD2 with the respective gBlocks (Integrated DNA Technologies (IDT); Supplementary Table 1) using Gibson assembly. Sanger sequencing confirmed the correct substitutions. Mutant FANCD2 proteins were expressed and purified as described for wild-type FANCD2.

    Biotinylated LacR protein was prepared as previously described37.

    Fluorescent protein labelling

    To generate site-specific fluorescently labelled proteins, we used SFP synthase (gift from J. Rhodes, Medical Research Council (MRC) Laboratory of Molecular Biology (LMB)) to conjugate CoA-activated fluorophores to the carboxyl-terminal ybbR tag. We incubated ybbR-tagged full-length FANCD2 with SFP synthase and a modified Cy3 (LD555-CoA, Lumidyne Technologies) at a 1:5:5 molar ratio for 16 h at 4 °C in 50 mM HEPES (pH 7.5), 150 mM NaCl, 1 mM TCEP and 10 mM MgCl2. Similarly, ybbR-tagged full-length FANCI was incubated with SFP synthase and a modified Cy5 (LD655-CoA, Lumidyne Technologies) using the same conditions. Labelled protein was purified from excess free dye by gel filtration using a Superdex 200 10/300 column (GE Healthcare Life Sciences) equilibrated in 50 mM HEPES (pH 7.5), 150 mM NaCl, 1 mM TCEP and 1 mM MgCl2. Fractions containing labelled protein (either FANCD2-Cy3 or FANCI-Cy5) were pooled, concentrated to 1–2 µM and aliquoted, flash frozen in liquid N2 and stored at −80 °C until further use. The labelling efficiency was estimated using the extinction coefficients of ybbR-tagged FANCD2 or FANCI and either Cy3 or Cy5, respectively. All labelling reactions yielded an estimated 90–95% efficiency.

    DNA binding experiments

    To assess the DNA-binding activity of fluorescently labelled D2–I, we carried out electrophoretic mobility shift assays (EMSAs) as previously described9,11. Fluorescently labelled dsDNA (purchased from IDT) was prepared by incubating complementary oligonucleotides P1(3′ FAM-labelled) and P7 (Supplementary Table 1) at 95 °C for 5 min and slowly cooling down to room temperature over roughly 2 h. For EMSAs, a 20 μl reaction containing 20 nM DNA was incubated with the indicated concentration of protein in the presence of 50 mM HEPES (pH 8.0), 75 mM NaCl and 1 mM TCEP for 30 min at 22 °C. After incubation, a 5 μl aliquot was directly loaded onto a native polyacrylamide gel (6% DNA Retardation, Thermo Fisher) and run at 4 °C in 0.5× TBE buffer for 60 min. The gel was then visualized using a Typhoon Imaging System (GE Healthcare). Each binding experiment was repeated three times (Extended Data Fig. 1c).

    SwitchSENSE

    The interactions of D2–IWT, D2EEEE–I, D2KKEE–I and D2EERR–I with dsDNA were analysed on a DRX2 instrument (Dynamic Biosensors GmbH) using a MPC2-48-2-G1R1-S chip equilibrated with SwitchSENSE buffer (20 mM HEPES (pH 8.0), 75 mM NaCl, 1 mM TCEP) at 25 °C. Before each kinetic analysis, 30-48-cNLB, 38-cNLB, 38P-cNLB or cNLB, together with cNLA (Supplementary Table 1), were annealed to DNA strands attached to the chip surface (NLB and NLA, respectively) by flowing 500 nM oligonucleotide over the chip for 4 min in a buffer of 10 mM Tris-HCl, 40 mM NaCl, 0.05% (v/v) Tween-20, 50 μM EDTA and 50 μM EGTA. As a result, either 48 bp dsDNA nanolevers with a 30 bp ss 5′ overhang were formed or a 38 bp dsDNA nanolever with a 10 bp 3′ overhang with a phosphate at the 5′ end was formed. Proteins in a 1:3 dilution series, starting at 100 nM protein, were injected at 50 µl min−1 for 5–10 min followed by dissociation in running buffer after the highest concentration for 80 min at 50 µl min−1. Dynamic switching data were analysed using the supplied switchANALYSIS v.1.9.0.33 software using a 1:1 kinetic model to give values for the association rate constant kon and the dissociation rate constant koff, and to calculate the kinetic dissociation constant Kd = koff/kon.

    Ubiquitination assays

    To confirm that fluorescent labelling did not affect the activity of the D2–I complex, we performed FANCL-mediated monoubiquitination assays as previously described38. The reaction is based on previously described ubiquitination assays9,11,14,38,39: 75 nM human (hs) E1 ubiquitin activating enzyme (Boston Biochem), 0.8 μM E2 (hsUbe2Tv4), 1 μM E3 (hsFANCL109–375), 1 μM D2–I, 5 μM dsDNA (oligos P1 and P7; Supplementary Table 1) and 20 μM His-tagged ubiquitin (Enzo Life Sciences) were used in a total volume of 10 µl with a reaction buffer of 50 mM HEPES (pH 7.5), 64 mM NaCl, 4% glycerol, 5 mM MgCl2, 2 mM ATP and 0.5 mM DTT. The reaction was incubated at 30 °C for 90 min and samples were analysed by SDS–PAGE (Extended Data Fig. 1d).

    Preparation of monoubiquitinated FANCD2

    To prepare Cy3 labelled monoubiquitinated FANCD2 for single-molecule imaging, an in vitro reaction was performed by mixing 75 nM hsE1 ubiquitin activating enzyme (Boston Biochem), 0.8 µM hsUbe2Tv4 (ref. 38), 3 µM hsFANCL109–375, 1 µM Gallus gallus FANCD2_ybbR and 20 µM His-tagged ubiquitin (Enzo Life Sciences) in a reaction buffer of 50 mM HEPES (pH 7.5), 64 mM NaCl, 4% glycerol, 5 mM MgCl2, 2 mM ATP and 0.5 mM DTT in a total of 500 µl. The reaction was incubated at 30 °C for 90 min before applying it to 50 μl of Ni–NTA agarose resin (Qiagen) pre-equilibrated in W25 buffer (20 mM HEPES (pH 7.5), 150 mM NaCl, 1 mM TCEP and 25 mM imidazole) in a 1.5 ml centrifuge tube at 4 °C for 60 min. The resin was washed twice with 100 μl of W25 buffer (20 mM HEPES (pH 7.5), 150 mM NaCl, 1 mM TCEP and 25 mM imidazole). Each wash was performed for 30 min at 4 °C under rotation. The Ni–NTA-bound ubFANCD2 was eluted with W100 buffer (20 mM HEPES (pH 7.5), 150 mM NaCl, 1 mM TCEP and 100 mM imidazole) as previously described for the purification of ubD2–I9. We incubated ubFANCD2_ybbR with SFP synthase and Cy3 (LD555-CoA, Lumidyne Technologies) at a 1:5:5 molar ratio for 16 h at 4 °C in 50 mM HEPES (pH 7.5), 150 mM NaCl, 1 mM TCEP and 10 mM MgCl2. Labelled ubFANCD2 was further purified from free dye by gel filtration using a Superdex 200 10/300 column (GE Healthcare Life Sciences) equilibrated in 50 mM HEPES (pH 7.5), 150 mM NaCl, 1 mM TCEP and 1 mM MgCl2 (Extended Data Fig. 3g). Fractions containing labelled ubFANCD2 were pooled, concentrated to 1–2 µM and aliquoted before being flash frozen on liquid N2, and stored at −80 °C until further use. The labelling efficiency was estimated using the extinction coefficients of ybbR-tagged FANCD2 and Cy3. All labelling reactions yielded an estimated 90–95% efficiency.

    DNA for single-molecule studies

    Bacteriophage λ DNA (Thermo Scientific) was labelled at both ends with biotin using Klenow polymerase exo (New England Biolabs). The linear substrate (4 nM) was incubated with 100 μM dGTP, 100 μM dTTP, 80 μM biotin-14-dATP and 80 μM biotin-14-dCTP and the enzyme (0.5 U from stock of 50 U μl−1) in NEB2 buffer at 37 °C for 30 min, then at 70 °C for 15 min and subsequently cooled on ice. The product was purified using Qiagen PCR clean-up kit.

    To prepare λ DNA with a site-specific ssDNA gap, a λ DNA construct was treated with CRISPR–Cas9D10A nickase (nCas9) (IDT) as described in ref. 27. In brief, λ DNA and two ssDNA biotinylated oligos (cap 1 and cap 2; Supplementary Table 1) were phosphorylated and subsequently ligated together using T4 ligase at 37 °C for 1 h to form λ DNA with closed, biotinylated ends40. To quench the reaction, T4 ligase enzyme was inactivated at 65 °C for 20 min. Next, two nCas9–RNA complexes (complex 1: nCas9 + tracrRNA + crRNA 1, complex 2: nCas9 + tracrRNA + crRNA 2; Supplementary Table 1) were incubated in Cas9 digestion buffer (50 mM Tris-HCl (pH 8), 100 mM NaCl and 10 mM MgCl2) with the biotinylated λ DNA at 37 °C to induce two site-specific nicks. crRNA 1 was labelled with a Cy3 fluorescent dye to generate the fiduciary static nCas9 marker. For D2–I experiments, this nicked λ DNA was incubated with proteinase K enzyme for 15 mins at 56 °C to remove the nCas9 complexes bound to the DNA. The ssDNA gap was generated in situ by force-induced melting during the single-molecule experiment. The ssDNA gap in the Atto647N-labelled 17.8-kb-long dsDNA with site-specific nicks (LUMICKS) used for characterizing the spatial resolution of the single-molecule assay (Supplementary Fig. 3) was also generated in a similar manner in situ.

    The DNA with a four-way junction was prepared by ligating 7.5 kb handles with phosphorylated, hairpin-forming, synthetic oligonucleotides, as described in ref. 26. The handles were prepared by PCR using λ DNA as a template and two modified primers. Primer 1 contains four biotin residues at its 5′ end. Primer 2 is 5′-phosphorylated and contains a single abasic site 10 nt from the 5′ end (Supplementary Table 1). A proofreading polymerase Pfu Ultra II Fusion HS (Agilent) was used to generate a 10 nt overhang beyond the abasic site, which enables ligation of the hairpin-forming oligonucleotides. The PCR products were purified on a QIAquick PCR purification column (Qiagen). The hairpin-forming, phosphorylated oligonucleotides with 10 nt 5′ overhangs were annealed in a hybridization buffer (10 mM Tris-HCl (pH 7.5), 50 mM NaCl) that was slow-cooled from 80 °C to room temperature. The annealed product was ligated to 7.5 kb handles by incubating equimolar ratio (3 pmol) with 400 U of T4 DNA ligase (New England Biolabs) in a ligase buffer at 16 °C for 8 h. To stop the reaction, 20 mM EDTA, 0.017% SDS was added and the solution was further incubated at 65 °C for 10 min. The product was purified by electrophoresis in a 1x TAE, 0.6% agarose, 1x TAE gel followed by electroelution of the excised product band and ethanol precipitation.

    Optical tweezers experiments

    Single-molecule experiments were performed on a C-trap (LUMICKS) integrating optical tweezers, confocal fluorescence microscopy and microfluidics. The five-channel laminar flow cell was passivated using 0.5% (w/v) Pluronics F128 in phosphate buffered saline (PBS), and subsequently with bovine serum albumin (BSA) (1 mg ml−1). Streptavidin-coated polystyrene beads, 0.005% w/v (4.8 μm or 4.35 μm, Spherotech), were injected into channel 1. Biotin-labelled DNA molecules (about 2 pM) were flowed into channel 2. Buffer A, containing 20 mM HEPES (pH 7.5), 75 mM NaCl, 0.5 mg ml−1 BSA and 1 mM TCEP, was injected into channel 3. D2–I was diluted to 5 nM in buffer A and injected into channel 4. For experiments containing RPA, eGFP-RPA was diluted to 800 pM in buffer A and injected into channel 5. For ubD2–I experiments, the complex was formed by incubating purified ubFANCD2 and FANCI with relaxed, optically trapped λ DNA (less than 1 pN in the protein channel). The ubD2–I complex on DNA was then moved to the protein-free channel and kymographs were acquired at 15 pN.

    The optical trap was calibrated to achieve a trap stiffness of 0.2–0.3 pN nm−1. After optically trapping two beads, the DNA molecule was suspended between the beads in channel 2. The presence of the DNA tether was verified by measuring a force–extension curve in channel 3 using a constant pulling rate of 0.2 μm s−1 and the acquisition rate of 60 Hz. Subsequently, the DNA tether was moved to the protein channel (channel 4) and incubated for 10–30 s. In most of the experiments, this loading step was performed using DNA held at very low force (less than 1 pN). After protein loading, the sliding experiment was carried out in the same buffer (channel 3) but without free protein. The confocal images were acquired in the absence of flow, using 488, 532 and 638 nm lasers (eGFP, Cy3 and Cy5 excitation, respectively) at a laser power of less than 3 μW. Fluorescence emission was recorded using blue (512/25 nm), green (585/75 nm) and red (640LP) filters. Kymographs were acquired by scanning the DNA contour with a pixel dwell time of 0.1–0.2 ms px−1, resulting in frame rates in the range of about 100 ms, depending on the DNA tether length. All experiments were performed at room temperature (22 °C).

    Single-molecule data interpretation

    Raw data exported from LUMICKS Bluelake as .h5 files were processed with custom-written Jupyter Notebooks in Python 3.9 using LUMICKS Pylake v.1.2.1, numpy v.1.26.0, matplotlib v.3.7.2, scipy v.1.11.3 and peakutils v.1.3.4 (https://github.com/singlemoleculegroup). Additional adjustments (colour contrast, cropping) were performed in Fiji41. Final graphs were generated in Prism.

    The particle localization and the mean square displacement (MSD) analysis were incorporated in the same Jupyter Notebook workspace using a custom tracking algorithm. The script generates a list of points that correspond with the localization of the fluorescent molecule in each time frame. Simultaneously, a list of photon counts (intensities) in each pixel in the red and green channels was generated.

    MSDs from the resolved, unprocessed trajectory were calculated using the formula below:

    $${\rm{MSD}}\left(n,N\right)=\mathop{\sum }\limits_{i=1}^{N-n}\frac{{({X}_{i+n}-{X}_{i})}^{2}}{N-n}=2D\tau +b,$$

    (1)

    where N is the number of frames in the kymograph, n is the size of the moving window (corresponding to the lag time τ) ranging from 1 to N − 1, Xi is the particle position at the frame i and b is the offset. The average diffusion coefficient (D) of the particle was obtained from the slope of the linear fit of MSD as a function of τ between 0.15 < τ < 1 s. To estimate the speed of the protein, the total displacement of the particle over time was calculated. Before the speed calculation, the trajectory was smoothed using a Savitzky–Golay filter.

    For the rolling diffusion analysis, the resolved, unsmoothed trajectory was divided into several rolling windows (with a window size of 16 time points, corresponding to roughly 1 s). MSDs were calculated for each window (using equation (1) above). The MSDs (for the first three lag times or τs) were fit to a straight line using the relation

    $${\rm{MSD}}\left(\tau \right)=2D\tau ,$$

    (2)

    to yield the rolling diffusion coefficient (Droll). Given the small number of sample points used for each window, the offset parameter used for the average D analysis was omitted for the Droll analysis. The threshold Droll used to distinguish between stalled and diffusing D2–I molecules was set to 6.4 × 10−3 μm2 s−1, which was thrice the average Droll for the static nCas9 (Cy3) molecule on λ DNA (Supplementary Fig. 3).

    The intensity of the trajectory at each time frame was calculated by integrating the total intensities of six pixels in the vicinity of the centre of the Gaussian peak (3 and −3). The intensity analysis from FRET quantification was done in IGOR. The intensities of donor and acceptor (Cy3- and Cy5-labelled units, respectively), ID_raw and IA_raw, were filtered using the smoothing BOX function over six data points.

    Subsequently, fluorescence bleed-through correction was performed. The average filtered intensities of the green (ID_avg) and red channels (IA_avg) after acceptor photobleaching were calculated. The correction factor \({\alpha }\) was calculated as:

    $$\alpha =\frac{{I}_{{\rm{A}}\_{\rm{avg}}}}{{I}_{{\rm{D}}\_{\rm{avg}}}}.$$

    (3)

    The corrected acceptor intensity was therefore:

    $${I}_{{\rm{A}}}^{\ast }={I}_{{\rm{A}}}-{I}_{{\rm{D}}}\,\times \,\alpha .$$

    (4)

    FRET was calculated using the corrected acceptor intensity:

    $${\rm{FRET}}=\frac{{I}_{{\rm{A}}}^{* }}{{I}_{{\rm{A}}}^{* }+{I}_{{\rm{D}}}}.$$

    (5)

    For the lifetime analysis, dwell times of D2–I stalled at the ss–dsDNA junctions were estimated directly from the kymographs. The survival probability (S) for the dwell-time distribution was calculated as

    $$S(d)=\frac{{\rm{Number}}\;{\rm{of}}\;{\rm{dwells}}\;{\rm{greater}}\;{\rm{than}}\;d}{{\rm{Total}}\;{\rm{number}}\;{\rm{of}}\;{\rm{dwells}}}=1-{\rm{CDF}},$$

    (6)

    where CDF is the cumulative density function of the distribution. The survival probability was subsequently fit to a double exponential decay to the form

    $$S\left(d\right)={A}_{{\rm{1}}}{{\rm{e}}}^{-\frac{d}{{t}_{{\rm{1}}}}}+{A}_{{\rm{2}}}{{\rm{e}}}^{-\frac{d}{{t}_{{\rm{2}}}}},$$

    (7)

    yielding the average lifetimes of the two kinetic phases, t1 and t2.

    Final plots were generated using Prism, Wavemetrics IGOR 8 or in Jupyter Notebooks using matplotlib v.3.7.2.

    Estimation of protein density on λ DNA

    To compare the loading efficiency of D2–I on λ DNA (Extended Data Fig. 2a,b) we estimated the number of bound D2–I molecules at different NaCl concentrations (150, 100, 75 and 37 mM). We used Fiji41 to plot the two-dimensional profile along λ DNA (30 s after starting the kymograph acquisition). To estimate the number of bound D2–I molecules, we calculated the total area delimited by the distance (x axis) and the pixel intensity (y axis) and divided it by the area corresponding to a single peak (a single molecule). This process was performed for three representative kymographs for each NaCl concentration.

    Electron microscopy and image processing

    ss–dsDNA was prepared by incubating oligos J1 and J2 (both containing 3′-OH and 5′-OH ends; purchased from IDT; Supplementary Table 1) at 95 °C for 5 min and slowly cooling down to room temperature over 3 h. For cryo-EM analysis of chicken D2–I bound to ss–dsDNA, we incubated 1 µM D2–I complex with 3 µM ss–dsDNA in imaging buffer (used for single-molecule experiments: 20 mM HEPES (pH 7.5), 75 mM NaCl and 1 mM TCEP) for 15 min at 22 °C. A total of 3 µl of sample was applied onto plasma-cleaned Quantifoil 1.2/1.3 grids for 3.5 s before blotting and vitrification in liquid ethane using a Vitrobot Mark IV (Thermo Fisher) at 4 °C and 100% humidity. The grids were imaged using EPU v.3.4.0 on a Titan Krios (Thermo Fisher) operated at 300 keV using a Gatan K3 detector in super-resolution model at the Electron Bio-Imaging Centre (eBIC). About 20,000 videos were collected at a pixel size of 0.831 Å. We used a defocus range spanning −1.2 to −2.8 in 0.3 µm steps and a total dose of roughly 40 e/Å2 per image.

    All image processing was performed using RELION v.4.0 (ref. 42) unless otherwise stated (Supplementary Fig. 4). Multiframe videos were drift corrected using 5 × 5 patches in MotionCorr2 (ref. 43) and defocus was estimated using CTFFIND4 (ref. 44). Particle picking was performed using crYOLO45 in trained mode after manual picking of about 3,000 particles. Around 6 million particles were initially extracted with a pixel size of roughly 2.9 Å, with intentional overpicking to prevent missing rare views of the complex. After initial two-dimensional classification, about 2.4 million particles were subjected to three-dimensional classification, using as a reference a low-pass filtered (60 Å) map generated ab initio in RELION. Classes showing clear DNA density were selected and refined after re-extraction with the original pixel size of 0.831 Å. The defocus values of the consensus reconstruction were further refined using CTF refinement, followed by Bayesian polishing and a further round of CTF refinement. The resulting consensus refinement was subjected to three-dimensional classification without image alignment. The best classes were combined and, after refinement, postprocessed using a soft mask to correct for modulation transfer function of the detector and sharpened with a B factor of −120, as determined using RELION. Fourier shell correlation curves generated after postprocessing using a cut-off value of 0.143 yielded a map with an estimated resolution of 3.58 Å. Local resolution was calculated in RELION and displayed onto the consensus refinement in ChimeraX46. Map sharpening of the refined maps using DeepEMhancer47 yielded improved densities in the N termini of FANCD2 and FANCI, and aided in model building.

    Linear dsDNA was prepared by incubating oligos P1 and P7 (purchased from IDT; Supplementary Table 1) at 95 °C for 5 min and slowly cooling down to room temperature over 3 h. The dsDNA–D2–I structures for both chicken and human were obtained using the same procedures in grid preparation, data acquisition and essentially the same processing strategy as described above (detailed in Supplementary Fig. 4 for chicken dsDNA–D2–I).

    Structure modelling

    The structure of Gallus gallus D2–I bound to dsDNA (PDB 8A2Q)11 was rigidly fitted into the map of D2–I bound to ss–dsDNA using Chimera48. After manual inspection and adjustment in Coot40 and ISOLDE49, the model was iteratively refined in Coot and Phenix50. An idealized dsDNA of 24 bp was placed and refined into the duplex density using ISOLDE with distance restraints, followed by refinement in Coot and Phenix. All models and maps were inspected in ChimeraX, which was also used to prepare figures.

    DT40 cell culture and mutant generation

    DT40 cells (obtained from Dr J. Young at the Institute of Animal Health, Compton, Berkshire, UK) were cultured as previously described51. The DT40 cell line was authenticated by Bu-1a and b expression and immunoglobulin gene sequences. No Mycoplasma contamination was detected. The DT40 FANCD2 knockout cell line was generated by Yamamoto et al.52. FANCD2 point mutations were generated using Quick Change II XL Site-Directed Mutagenesis Kit (Agilent), according to the manufacturer’s instructions, in pcDNA3.1 GFP-chFANCD2 plasmid52. Primers for site-directed mutagenesis were designed using the Agilent QuikChange Primer Design online tool, and sequences are reported in Supplementary Table 1. Each mutant plasmid was then checked by Nanopore30 sequencing (Source Bioscience). Stable non-targeted transfections of DT40 FANCD2−/− were performed as described in ref. 53 and puromycin-resistant clones selected.

    Colony survival assay

    Colony survival assays were performed as described in ref. 54 replacing D-MEM by RPMI Medium 1640 (Gibco), under penicillin/streptomycin selection, and Puromycin (1 µg ml−1) for FANCD2−/− mutants. For each mutant, two independent clones and six replicates per clone were performed. Cisplatin (Merck) was freshly prepared in a 0.9% saline solution, and cells were treated for an hour with the indicated doses. Cells were then washed, plated on methylcellulose and cultured until colonies were visible (about 2 weeks). The relative clonogenic survival, compared with untreated cells, was then calculated for each replicate. Replicates were then pooled, and statistical testing was performed by the R package CFAssay using two-way analysis of the cell survival data by fitting a linear quadratic model with maximum likelihood (P values reported in Supplementary Table 2).

    Preparation of Xenopus egg extracts

    The eggs of Xenopus laevis female frogs (aged more than 2 years, purchased from Nasco) were used for extract preparation. Nucleoplasmic extract (NPE) and high-speed supernatant (HSS) were prepared as previously described55. All animal procedures were performed in accordance with national animal welfare laws and were reviewed by the Animal Ethics Committee of the Royal Netherlands Academy of Arts and Sciences (KNAW). All animal experiments were conducted under a project licence granted by the Central Committee Animal Experimentation (CCD) of the Dutch government and approved by the Hubrecht Institute Animal Welfare Body (IvD), with project licence number AVD80100202216633. Sample sizes were chosen on the basis of previous experience; randomization and blinding are not relevant to this study.

    DNA repair assay in Xenopus extracts

    DNA replication and preparation of Xenopus egg extracts (HSS and NPE) were performed as described previously31,56,57. Preparation of plasmid with a site-specific cisplatin ICL (pICL) and ICL repair assays were performed as described30,31,58. Briefly, pICL was incubated with HSS containing 32P-a-dCTP for 20 min, following addition of two volumes of NPE (t = 0). Aliquots of replication reaction were stopped at various times with ten volumes of Stop Solution II (0.5% SDS, 10 mM EDTA and 50 mM Tris (pH 7.5)). Samples were incubated with proteinase K (0.5 μg μl−1) for 1 h at 37 °C each. DNA was extracted using phenol/chloroform, ethanol-precipitated in the presence of glycogen (30 mg ml−1) and resuspended in TE buffer. ICL repair was analysed by digesting 1 μl of extracted DNA with HincII, or HincII and SapI, separation on a 0.8% native agarose gel and quantification using autoradiography. Absolute ICL repair efficiency was calculated as described31. For reconstitutions with D2–I proteins, replication reactions were supplemented with approximately 60 nM of recombinant Xenopus laevis D2WT–I or D2EEEE–I or D2EERR–I or D2KREE–I.

    Antibodies and immunodepletions

    The antibody used to deplete and blot for xlFANCD2 was previously described30,31. Histone H3 antibody was purchased from Abcam (ab1791) and used in 1:4,000 dilution. The xlFANCD2 antibody was affinity purified against the antigen used to raise the antibody. To deplete Xenopus egg extracts of FANCD2, Dynabeads Protein A beads (Thermo Fisher Scientific) were incubated with the affinity-purified antibody to their maximum binding capacity. One and a half volumes of the antibody-coated beads were then mixed with one volume of pre-cleared HSS or NPE and incubated for 30 min at room temperature. Mock depletions were performed using non-specific immunoglobulin G from rabbit serum (Sigma-Aldrich). Depleted extracts were collected and immediately used for replication assays.

    Plasmid pull-down

    Plasmid pull-downs were performed as previously described59. Briefly, streptavidin-coupled magnetic beads (Dynabeads M-280, Invitrogen; 6 μl per pull-down) were washed with 50 mM Tris (pH 7.5), 150 mM NaCl, 1 mM EDTA (pH 8) and 0.02% Tween-20. Biotinylated LacR was added to the beads (4 pmol per microlitre of beads) and incubated at room temperature for 45 min. The beads were washed with 10 mM HEPES (pH 7.7), 50 mM KCl, 2.5 mM MgCl2, 250 mM sucrose, 0.25 mg ml−1 BSA and 0.02% Tween-20 and resuspended in 40 μl of the same buffer. The bead suspension was stored on ice until needed. At indicated time points, 8 μl of the replication reaction was gently mixed with LacR–streptavidin Dynabeads. The suspension was incubated at 0 °C for 30 min. The beads were washed with 10 mM HEPES (pH 7.7), 50 mM KCl, 2.5 mM MgCl2, 0.25 mg ml−1 BSA, 100 mM NaCl and 0.5% Triton X-100. All residual buffer was removed and the beads were resuspended in 2× SDS sample buffer (150 mM Tris-HCl (pH 6.8), 5% SDS, 0.05% bromophenol blue and 20% glycerol). DNA-bound proteins were then resolved by SDS–PAGE and visualized by western blotting with the indicated antibodies (anti-FANCD2 at 1:6,000; anti-Histone-H3 at 1:4,000). The recombinant D2–I complexes used for plasmid pull-down experiments were incubated with PreScission Protease (Cytiva) for 1 h at room temperature before being added to extract. This allows for the cleavage of the strep-tag from the recombinant FANCD2 to prevent direct binding of the protein to the streptavidin beads.

    Reporting summary

    Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

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  • Transport and inhibition mechanisms of the human noradrenaline transporter

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  • Silverberg, A. B., Shah, S. D., Haymond, M. W. & Cryer, P. E. Norepinephrine: hormone and neurotransmitter in man. Am. J. Physiol. 234, E252 (1978).

    CAS 
    PubMed 

    Google Scholar
     

  • Pacholczyk, T., Blakely, R. D. & Amara, S. G. Expression cloning of a cocaine-and antidepressant-sensitive human noradrenaline transporter. Nature 350, 350–354 (1991).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Mandela, P. & Ordway, G. A. The norepinephrine transporter and its regulation. J. Neurochem. 97, 310–333 (2006).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Kristensen, A. S. et al. SLC6 neurotransmitter transporters: structure, function, and regulation. Pharmacol. Rev. 63, 585–640 (2011).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Brust, A. et al. χ-Conopeptide pharmacophore development: toward a novel class of norepinephrine transporter inhibitor (Xen2174) for pain. J. Med. Chem. 52, 6991–7002 (2009).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Llorca-Torralba, M., Borges, G., Neto, F., Mico, J. A. & Berrocoso, E. Noradrenergic locus coeruleus pathways in pain modulation. Neuroscience 338, 93–113 (2016).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Pertovaara, A. Noradrenergic pain modulation. Prog. Neurobiol. 80, 53–83 (2006).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Berridge, C. W., Schmeichel, B. E. & España, R. A. Noradrenergic modulation of wakefulness/arousal. Sleep Med. Rev. 16, 187–197 (2012).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Sapolsky, R. M., Romero, L. M. & Munck, A. U. How do glucocorticoids influence stress responses? Integrating permissive, suppressive, stimulatory, and preparative actions. Endocr. Rev. 21, 55–89 (2000).

    CAS 
    PubMed 

    Google Scholar
     

  • Jansen, A. S., Nguyen, X. V., Karpitskiy, V., Mettenleiter, T. C. & Loewy, A. D. Central command neurons of the sympathetic nervous system: basis of the fight-or-flight response. Science 270, 644–646 (1995).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Bobb, A. J. et al. Support for association between ADHD and two candidate genes: NET1 and DRD1. Am. J. Med. Genet. B 134, 67–72 (2005).

    Article 

    Google Scholar
     

  • Lake, C. R. et al. High plasma norepinephrine levels in patients with major affective disorder. Am. J. Psychiatry 139, 1315–1318 (1982).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bohn, L. M., Xu, F., Gainetdinov, R. R. & Caron, M. G. Potentiated opioid analgesia in norepinephrine transporter knock-out mice. J. Neurosci. 20, 9040–9045 (2000).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Penmatsa, A., Wang, K. H. & Gouaux, E. X-ray structure of dopamine transporter elucidates antidepressant mechanism. Nature 503, 85–90 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wang, K. H., Penmatsa, A. & Gouaux, E. Neurotransmitter and psychostimulant recognition by the dopamine transporter. Nature 521, 322–327 (2015).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Pidathala, S., Mallela, A. K., Joseph, D. & Penmatsa, A. Structural basis of norepinephrine recognition and transport inhibition in neurotransmitter transporters. Nat. Commun. 12, 2199 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Coleman, J. A. & Gouaux, E. Structural basis for recognition of diverse antidepressants by the human serotonin transporter. Nat. Struct. Mol. Biol. 25, 170–175 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Coleman, J. A., Green, E. M. & Gouaux, E. X-ray structures and mechanism of the human serotonin transporter. Nature 532, 334–339 (2016).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Coleman, J. A. et al. Serotonin transporter–ibogaine complexes illuminate mechanisms of inhibition and transport. Nature 569, 141–145 (2019).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Plenge, P. et al. The antidepressant drug vilazodone is an allosteric inhibitor of the serotonin transporter. Nat. Commun. 12, 5063 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Paczkowski, F. A., Sharpe, I. A., Dutertre, S. & Lewis, R. J. χ-Conotoxin and tricyclic antidepressant interactions at the norepinephrine transporter define a new transporter model. J. Biol. Chem. 282, 17837–17844 (2007).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sharpe, I. A. et al. Two new classes of conopeptides inhibit the α1-adrenoceptor and noradrenaline transporter. Nat. Neurosci. 4, 902–907 (2001).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sharpe, I. A. et al. Inhibition of the norepinephrine transporter by the venom peptide χ-MrIA: site of action, Na+ dependence, and structure–activity relationship. J. Biol. Chem. 278, 40317–40323 (2003).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Zhang, Y. W., Turk, B. E. & Rudnick, G. Control of serotonin transporter phosphorylation by conformational state. Proc. Natl Acad. Sci. USA 113, E2776–E2783 (2016).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ramamoorthy, S., Shippenberg, T. S. & Jayanthi, L. D. Regulation of monoamine transporters: role of transporter phosphorylation. Pharmacol. Ther. 129, 220–238 (2011).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Hillhouse, T. M. & Porter, J. H. A brief history of the development of antidepressant drugs: from monoamines to glutamate. Exp. Clin. Psychopharmacol. 23, 1–21 (2015).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hahn, M. K., Robertson, D. & Blakely, R. D. A mutation in the human norepinephrine transporter gene (SLC6A2) associated with orthostatic intolerance disrupts surface expression of mutant and wild-type transporters. J. Neurosci. 23, 4470–4478 (2003).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kurian, M. A. et al. Homozygous loss-of-function mutations in the gene encoding the dopamine transporter are associated with infantile parkinsonism-dystonia. J. Clin. Invest. 119, 1595–1603 (2009).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kurian, M. A. et al. Clinical and molecular characterisation of hereditary dopamine transporter deficiency syndrome: an observational cohort and experimental study. Lancet Neurol. 10, 54–62 (2011).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Beerepoot, P., Lam, V. M. & Salahpour, A. Pharmacological chaperones of the dopamine transporter rescue dopamine transporter deficiency syndrome mutations in heterologous cells. J. Biol. Chem. 291, 22053–22062 (2016).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Shahsavar, A. et al. Structural insights into the inhibition of glycine reuptake. Nature 591, 677–681 (2021).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Motiwala, Z. et al. Structural basis of GABA reuptake inhibition. Nature 606, 820–826 (2022).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Melikian, H. E., Ramamoorthy, S., Tate, C. G. & Blakely, R. D. Inability to N-glycosylate the human norepinephrine transporter reduces protein stability, surface trafficking, and transport activity but not ligand recognition. Mol. Pharmacol. 50, 266–276 (1996).

    CAS 
    PubMed 

    Google Scholar
     

  • Sogawa, C. et al. C-terminal region regulates the functional expression of human noradrenaline transporter splice variants. Biochem. J. 401, 185–195 (2007).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bauman, P. A. & Blakely, R. D. Determinants within the C-terminus of the human norepinephrine transporter dictate transporter trafficking, stability, and activity. Arch. Biochem. Biophys. 404, 80–91 (2002).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yang, D. & Gouaux, E. Illumination of serotonin transporter mechanism and role of the allosteric site. Sci. Adv. 7, eabl3857 (2021).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lewis, R. J., Alewood, P. F., Alewood, D. & Palant, E. Type II chi-conotoxin peptides (noradrenaline transporter inhibitors). US Patent US7507717B2 (2009).

  • Nilsson, K. P. R. et al. Solution structure of χ-conopeptide MrIA, a modulator of the human norepinephrine transporter. Pept. Sci. 80, 815–823 (2005).

    Article 
    CAS 

    Google Scholar
     

  • Sharpe, I. A. et al. Inhibition of the norepinephrine transporter by the venom peptide chi-MrIA. Site of action, Na+ dependence, and structure-activity relationship. J. Biol. Chem. 278, 40317–40323 (2003).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Gu, H. H., Wall, S. & Rudnick, G. Ion coupling stoichiometry for the norepinephrine transporter in membrane vesicles from stably transfected cells. J. Biol. Chem. 271, 6911–6916 (1996).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ramamoorthy, S. et al. Expression of a cocaine-sensitive norepinephrine transporter in the human placental syncytiotrophoblast. Biochemistry 32, 1346–1353 (1993).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Koldsø, H. et al. Unbiased simulations reveal the inward-facing conformation of the human serotonin transporter and Na(+) ion release. PLoS Comput. Biol. 7, e1002246 (2011).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Felts, B. et al. The two Na+ sites in the human serotonin transporter play distinct roles in the ion coupling and electrogenicity of transport. J. Biol. Chem. 289, 1825–1840 (2014).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ascher, J. A. et al. Bupropion: a review of its mechanism of antidepressant activity. J. Clin. Psychiatry 56, 395–401 (1995).

    CAS 
    PubMed 

    Google Scholar
     

  • Shalabi, A. R., Walther, D., Baumann, M. H. & Glennon, R. A. Deconstructed analogues of bupropion reveal structural requirements for transporter inhibition versus substrate-induced neurotransmitter release. ACS Chem. Neurosci. 8, 1397–1403 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Schmidt, A. W., Lebel, L. A., Howard, H. R. & Zorn, S. H. Ziprasidone: a novel antipsychotic agent with a unique human receptor binding profile. Eur. J. Pharmacol. 425, 197–201 (2001).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Cross, A. J. et al. Quetiapine and its metabolite norquetiapine: translation from in vitro pharmacology to in vivo efficacy in rodent models. Br. J. Pharmacol. 173, 155–166 (2016).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Hong, W. C. & Amara, S. G. Membrane cholesterol modulates the outward facing conformation of the dopamine transporter and alters cocaine binding. J. Biol. Chem. 285, 32616–32626 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zeppelin, T., Ladefoged, L. K., Sinning, S., Periole, X. & Schiøtt, B. A direct interaction of cholesterol with the dopamine transporter prevents its out-to-inward transition. PLoS Comput. Biol. 14, e1005907 (2018).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Veber, D. F. et al. Molecular properties that influence the oral bioavailability of drug candidates. J. Med. Chem. 45, 2615–2623 (2002).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Yu, R. et al. Enhanced activity against multidrug-resistant bacteria through coapplication of an analogue of tachyplesin I and an inhibitor of the QseC/B signaling pathway. J. Med. Chem. 63, 3475–3484 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zhang, K. Gctf: real-time CTF determination and correction. J. Struct. Biol. 193, 1–12 (2016).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D 66, 213–221 (2010).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • DeLano, W. L. Pymol: An open-source molecular graphics tool. CCP4 Newsl. Protein Crystallogr. 40, 82–92 (2002).


    Google Scholar
     

  • Pettersen, E. F. et al. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

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