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MS2 affinity selection of CE complexes
HeLa S3 cells were obtained from the Helmholtz Zentrum für Infektionsforschung, Braunschweig and tested negative for mycoplasma. Cells were not authenticated. HeLa nuclear extracts were prepared according to a previously published method27 and were dialysed twice for 2.5 h against 50 volumes of Roeder D buffer (20 mM HEPES-KOH, pH 7.9, 0.2 mM EDTA, pH 8.0, 1.5 mM MgCl2, 100 mM KCl, 10% (v/v) glycerol, 0.5 mM DTT and 0.5 mM PMSF). For both pre-B and B-like complexes, 10 nM m7G(5′)ppp(5′)G-capped MINX exon RNA containing 3 MS2 aptamers at its 3′ end7 was pre-incubated with 100 nM MS2–MBP fusion protein for 40 min on ice before addition to the splicing reaction. Splicing reactions were carried out at 30 °C with 50% (v/v) nuclear extract in splicing buffer (1.5 mM MgCl2, 65 mM KCl, 20 mM HEPES-KOH pH 7.9, 2 mM ATP and 20 mM creatine phosphate). For pre-B complexes, splicing was performed for 20 min. To obtain B-like complexes, a 100-fold molar excess of a 5′ss oligo (5′-AAG/GUAAGUAU-3′, where / indicates the exon–intron boundary) was added after allowing pre-B complex formation, and the reaction was incubated for an additional 10 min at 30 °C. Splicing reactions were then chilled on ice for 10 min, centrifuged 15 min at 18,000g to remove aggregates and loaded onto a MBP Trap HP column (GE Healthcare). The column was washed with G-75 buffer (20 mM HEPES-KOH pH 7.9, 1.5 mM MgCl2 and 75 mM NaCl) and complexes were eluted with G-75 buffer containing 15 mM maltose. Eluted complexes were loaded onto a linear 10–30% (v/v) glycerol gradient prepared in G-75 buffer, centrifuged at 17,500 r.p.m. for 18 h at 4 °C in a TST41.14 rotor (Thermo Fisher Scientific), and fractions were collected from the bottom of the gradient. RNA from complexes in peak gradient fractions was separated on a denaturing 4–12% NuPAGE gel (Life Technologies) and visualized by staining with SYBR Gold (Thermo Fisher Scientific). For cryo-EM analysis, eluted complexes were subjected to gradient fixation (GRAFIX)28 and further processed as described below.
Add-back experiments using purified pre-B
CE pre-B complexes were MS2 affinity-purified as described above. To obtain pre-B5′ss complexes, affinity-purified complexes were subsequently incubated for 10 min at 0 °C or 30 °C with a 100-fold molar excess of the 5′ss oligo alone. To generate pre-B5′ss+ATP/ATPγS complexes, after incubation with the 5′ss oligo at 0 °C, complexes were subsequently incubated for 30 min at 30 °C after addition of 2 mM ATP or ATPγS. To generate pre-B5′ssLNG+ATPγS complexes, purified pre-B complexes were incubated with a 100-fold molar excess of an elongated 5′ss oligo (5′-AAG/GUAAGUAUCGUUCCAA-3′) for 10 min at 0 °C, followed by the addition of 2 mM ATPγS and incubation for an additional 30 min at 30 °C. To obtain pre-BATP or pre-BAMPPNP complexes, affinity-purified pre-B complexes were incubated with 2 mM ATP or AMPPNP, respectively, for 30 min at 30 °C. All complexes were then loaded onto a linear 10–30% (v/v) glycerol gradient prepared in G-75 buffer, and centrifuged and analysed as described above. For cryo-EM analyses, eluted complexes were subjected to gradient fixation (GRAFIX) and further processed as described below.
Western blotting
For western blot analysis of purified pre-B, pre-B5′ss, pre-B5′ss+ATP and pre-BATP complexes, 200 fmoles of each complex was separated on 4–12% NuPAGE gels and transferred to a Hybond P membrane. Membranes were first blocked with 5% milk in 1× TBS-T buffer (20 mM Tris-HCl, pH 7.5, 150 mM NaCl and 0.1% Tween 20) and then incubated with rabbit antibodies against human phospho-PRP6 (1:1,000 dilution) and phospho-PRP31 (1:500 dilution), followed by antibodies against human SF3B1 (1:700 dilution), PRP31 (1:500 dilution) and PRP6 (1:1,000 dilution; AB99292, Abcam). Subsequent to incubation with the primary antibodies, membranes were washed with TBS-T buffer and incubated with HRP-conjugated goat anti-rabbit IgG (1:30,000 dilution; 111-035-144, Jackson Immunoresearch). After washing, membranes were immunostained using an enhanced chemiluminescence detection kit (GE Healthcare) and the signal was visualized using an Amersham Imager 680.
Protein–protein crosslinking
CE pre-B complexes were MS2 affinity-purified as described above with the following modifications: after affinity purification, eluted complexes were crosslinked with 400 μM BS3 for 45 min at 18 °C in a total volume of 1.4 ml. Crosslinked complexes were loaded onto a linear 10–30% (v/v) glycerol gradient and subjected to centrifugation at 17,500 r.p.m. for 18 h at 2 °C in a TST41.14 rotor. Four peak fractions containing dimeric pre-B complexes were pooled and ultracentrifuged in a S100-AT4 rotor (Thermo Fisher Scientific). The pelleted, crosslinked dimeric CE pre-B complexes (approximately 20 pmol) were dissolved in 50 mM ammonium bicarbonate buffer containing 4 M urea, reduced with dithiothreitol, alkylated with iodoacetamide and, after diluting the urea to 1 M, in-solution digested with trypsin. Peptides were reverse-phase extracted using Sep-Pak Vac tC18 1cc cartridges (Waters), lyophilized and subsequently dissolved in 40 µl 2% acetonitrile (ACN) and 20 mM ammonium hydroxide. Peptides were separated on an xBridge C18 3.5 µm 1 × 150 mm reverse-phase column (Waters) using a 4–48% gradient of ACN in 10 mM ammonium hydroxide over 45 min at a flow rate of 60 µl min–1. One-minute fractions of 60 µl were collected, pooled in a step of 12 min (resulting in 12 pooled fractions in total), vacuum dried and dissolved in 5% ACN and 0.1% trifluoroacetic acid (TFA) for subsequent uHPLC-ESI–MS/MS analysis that was performed in triplicate on an Orbitrap Exploris 480 (Thermo Scientific). The mass spectrometer was coupled to a Dionex UltiMate 3000 uHPLC system (Thermo Scientific) with a custom 35 cm C18 column (75 µm inner diameter packed with ReproSil-Pur 120 C18-AQ beads, 3 µm pore size (Dr. Maisch)). The MS1 and MS2 resolutions were set to 120,000 and 30,000, respectively. Only precursors with a charge state of 3–8 were selected for MS2. MS data were acquired using Thermo Scientific Xcalibur (v.4.4.16.14) software.
B-like complexes were MS2 affinity-purified as described above with the following modifications: after affinity purification, eluted spliceosomal complexes were crosslinked with 350 μM BS3 for 30 min at 18 °C in a total volume of 2 ml. Crosslinked complexes were loaded onto a linear 10–30% (v/v) glycerol gradient and subjected to centrifugation at 21,000 r.p.m. for 12 h at 2 °C in a TST41.14 rotor. Peak fractions containing dimeric B-like complexes (about 12 pmol) were pooled, pelleted, digested and the peptides were reverse-extracted as described above for the pre-B complexes. Peptides were fractionated by gel filtration using a Superdex Peptide PC3.2/30 column (GE Healthcare) in 30% ACN and 0.1% TFA. Fifty-microlitre fractions corresponding to an elution volume of 1.2–1.8 ml were analysed in duplicate on a Thermo Scientific Orbitrap Fusion Lumos Tribrid mass spectrometer coupled to Ultimate 3000 uHPLC (Thermo Scientific). MS data acquisition was performed using Thermo Scientific Xcalibur (v.4.5.445.18) software.
The protein composition of the spliceosomal complexes was determined in a search with MaxQuant (v.2.4.2.0) against a UniProt human reference proteome using the same samples but before pre-fractionation by either offline reverse phase (pre-B) or size exclusion (B-like) chromatography. Based on the MaxQuant results, restricted protein databases were compiled and used for protein–protein crosslink identification by searching the Thermo raw files with pLink (v.2.3.11) for pre-B and pLink (v.2.3.9) for B-like complexes29. For model building, a maximum distance of 30 Å between the Cα atoms of the crosslinked lysine residues was allowed.
EM sample preparation and imaging
For cryo-EM samples, spliceosomal complexes were loaded onto a linear 10–30% (v/v) glycerol gradient prepared in G-75 buffer containing 0–0.1% glutaraldehyde (GRAFIX) and centrifuged at 17,500 r.p.m. for 18 h at 4 °C in a TST41.14 rotor. Fractions were collected from the bottom of the gradient and were quenched with 120 mM Tris-HCl pH 7.5 on ice. Complexes in the peak gradient fractions were pooled, buffer-exchanged and concentrated in an Amicon 50 kDa cut-off unit. Complexes were then adsorbed for 20 min to a thin layer carbon film that was subsequently attached to R2/2 UltrAuFoil grids (Quantifoil). A volume of 3.8 μl of double-distilled water was applied to the grids and excess water was blotted away using a FEI Vitrobot loaded with pre-wet filter paper, with the following settings: blotting force of 11 and blotting time of 7.5 s at 4 °C and 100% humidity. Samples were subsequently vitrified by plunging into liquid ethane cooled to liquid nitrogen temperature. Cryo-EM grids of the pre-B, pre-B5′ss, pre-B5′ss+ATPγS, pre-B5′ssLNG+ATPγS and pre-BATP were imaged in a Titan Krios 1 (Thermo Fisher Scientific), equipped with a Cs corrector, operated at 300 kV, on a Falcon III detector in linear mode at a calibrated pixel size of 1.16 Å at the specimen level (see Extended Data Table 1 for a summary of EM statistics). Cryo-EM grids of B-like and pre-BAMPPNP were imaged in a Titan Krios 3 (Thermo Fisher Scientific), operated at 300 kV, on a Falcon III detector in linear mode at a calibrated pixel size of 1.35 Å at the specimen level. Krios1 and Krios3 cryo-EM images were acquired using Thermo Fisher EPU2.1 with an exposure time of 1.02 s (40 movie frames), with a total dose of 60 e– Å–2 and 48 e– Å–2, respectively.
EM data processing
For all of the cryo-EM datasets, frames were aligned, dose-weighted and summed using MotionCor (v.2.0)30. Defocus values were estimated using Gctf31. Particle picking was performed using crYOLO32. For each sample, approximately 800–1,000 particles were manually picked from 30–50 micrographs and used to train a neural network model, which was then used to automatically pick particles for the corresponding dataset. All subsequent processing was performed using RELION 3.1 (http://www2.mrc-lmb.cam.ac.uk/relion/index.php/Main_Page) unless otherwise specified. Cryo-EM data were split randomly into two halves for gold-standard FSC determination in RELION 3.1.
For the pre-B complex, 777,350 particles were picked from 25,904 micrographs, extracted and binned to 200 × 200 pixels (3× binned, pixel size of 3.48 Å). After reference-free two-dimensional (2D) classification, 586,198 particles were retained for further processing, from which 100,000 particles were used for ab initio reconstruction in cryoSPARC33. The ab initio model showed a 3D structure resembling that of a CI pre-B complex but with additional fuzzy densities (which later turned out to be the second protomer). The fuzzy density, as well as the unstable U2 density, was erased using Chimera34, and the resulting 3D structure was low-pass filtered to 40 Å resolution to prevent model bias, which was then used for 3D classification in RELION 3.1. The 586,198 particles were 3D classified into 5 classes that contained 2 major types of particles. In class 1, both protomers were well-defined, whereas in class 2, only one well-defined pre-B protomer was observed. To improve the resolution of the pre-B protomer, the two protomers were separately re-extracted, re-centred in a box of 160 × 160 pixels (3× binned, pixel size of 3.48 Å) using the alignment parameters from the first round of 3D classification. The resulting particles were then 3D classified separately, and the good particles were combined and subjected to a masked 3D classification, focusing on the tri-snRNP density. The 279,781 particles showing a well-defined tri-snRNP density were then re-extracted in the original pixel size in a 480 × 480 box. 3D refinement, CTF refinement and Bayesian polishing were performed in two rounds. In the final round of 3D refinement, soft masks around the tri-snRNP core—encompassing PRP8NTD, the PRP8 Large domain (PRP8Large), U4/U6 stem I and stem III, U5 snRNA, SNU114, SAD1, DIM1, the PRP6 N-terminal domain (PRP6NTD), SF3A1 C-terminal region (SF3A1CT), the PRP28 N-terminal domain (PRP28NTD) and the BRR2 N-terminal domain (BRR2NTD)—and the BRR2 region (encompassing the BRR2 helicase domain and PRP8Jab1) were applied, producing two 3D reconstructions at nominal resolution of 3.5 Å and 4.2 Å, respectively. Focused classification without alignment was applied to improve the U4 core region (encompassing the U4 Sm domain, SNU66, U4/U6 stem I and stem III, RBM42, PRP8RH and PRP8En) and the U2 region (encompassing the U2 5′ domain comprising SF3b proteins, U2/U6 helix II and U6 Lsm proteins). After masked refinement, the U4 core and the U2 region were resolved to nominal resolutions of 6.1 Å and 12 Å, respectively.
For the B-like complex, 488,598 particles from 14,665 micrographs were picked, extracted and binned to 200 × 200 pixels (3× binned, pixel size of 4.05 Å). A total of 389,830 particles were retained after reference-free 2D classification, from which 100,000 particles were used for ab initio reconstruction in cryoSPARC33. The ab initio model showed a dimeric structure. The less well-defined protomer was erased using Chimera34, and the better-defined protomer was low-pass filtered to 40 Å and used as the starting model for 3D classification of the entire dataset. For the first round of 3D classification, a soft mask around one protomer was applied, so that all the particles were forced to align to only one protomer. This separated particles that had at least one well-defined protomer from the bad particles. To investigate whether the good particles contain monomeric B-like complexes, after the first round of 3D classification the particles were further 3D classified into four classes without a mask. All of the 3D classes showed well-defined dimeric complexes, which suggested that all of the good particles are dimeric B-like complexes. To improve the resolution of the B-like protomers, particles were re-centred and re-extracted in the original pixel size in a 480 × 480 pixels box. Two rounds of 3D refinement, CTF refinement and Bayesian polishing were performed. In the final round of 3D refinement, soft masks around the tri-snRNP core (encompassing PRP8, the 5′ss oligo, U4/U6 stem I and stem II, U5 snRNA, PRP3, SNU114, SAD1, DIM1, PRP6NTD, SF3A1CT, PRP28NTD, SNU13, FBP21, SNU23, MFAP1 and PRP38A), the BRR2 region (encompassing the BRR2 helicase domain and PRP8Jab1) and the U4/U6 region (encompassing U4/U6 stem I and stem II, SNU13, PRP3, PRP4, PRP31, PPIH, PRP6HAT and PRP8RH) were applied, producing three 3D reconstructions with nominal resolutions of 3.1 Å, 4.3 Å, and 3.3 Å, respectively. Focused classification without alignment was applied to improve the U2 region (encompassing the U2 5′ region, U2/U6 helix II and SMU1). After masked refinement, the U2 region was improved to about 12 Å resolution.
For the pre-B5′ss complex, 1,283,541 particles from 23,372 micrographs were picked, extracted and binned to 200 × 200 pixels (3× binned, pixel size of 3.48 Å). Overall, 944,381 particles were retained after reference-free 2D classification and subjected to 3D classification using the low-pass filtered tri-snRNP part of the pre-B complex or the tri-snRNP core of the B-like complex (excluding the BRR2 region) as the starting model. Both starting models generated the same result, with one 3D class containing a well-defined protomer. No class resembling the B-like complex was found even when the tri-snRNP core of the B-like complex was used as the starting model. To separate the class 1 and class 2 dimers, the good 3D class was further classified into nine classes. To improve the resolution of the pre-B5′ss protomer, particles were re-centred and re-extracted in the original pixel size in a 480 × 480 pixels box, and another round of 3D classification was performed with a soft mask around the tri-snRNP region. The good class was selected and 3D refined, followed by one round of CTF refinement and Bayesian polishing. The final 176,879 particles were 3D refined with a soft mask around the tri-snRNP core (encompassing 5′ss oligo, PRP8NTD, PRP8Large, U4/U6 stem I and stem III, U5 snRNA, SNU114, SAD1, DIM1, PRP6NTD, SF3A1CT, PRP28NTD and BRR2NTD), resulting in a 3D reconstruction at a nominal resolution of 4.2 Å.
For the pre-B5′ss+ATPγS complex, 791,079 particles were picked, extracted and binned to 200 × 200 pixels (3× binned, pixel size of 3.48 Å). As the ab initio reconstruction from cryoSPARC largely resembles the B-like complex, the tri-snRNP core (excluding BRR2) of the B-like complex was low-pass filtered to 40 Å and used as the starting model for 3D classification. The good classes were combined, re-centred and re-extracted in the original pixel size in a 480 × 480 pixels box. Two rounds of 3D refinement, CTF refinement and Bayesian polishing were performed, and the final 411,185 particles were refined with a soft mask around the tri-snRNP core (encompassing PRP8, 5′ss oligo, U4/U6 stem I and stem II, U5 snRNA, PRP3, SNU114, SAD1, DIM1, PRP6NTD, SF3A1CT, PRP28NTD and SNU13), producing a 3D reconstruction at a nominal resolution of 3.1 Å. Focused classification without alignment followed by a masked refinement was applied to improve the BRR2 region (encompassing the BRR2 helicase domain, PRP8En and PRP8Jab1) to a nominal resolution of 4.0 Å.
For the pre-B5′ssLNG+ATPγS complex, 541,230 particles from 13,740 micrographs were picked, extracted and binned to 200 × 200 pixels (3× binned, pixel size of 3.48 Å). Using the low-pass filtered tri-snRNP core of the pre-B5′ss+ATPγS complex as a starting model, the particles were 3D classified, and particles from the best class were re-centred and re-extracted in the original pixel size in a 480 × 480 pixels box. After two rounds of 3D refinement, CTF refinement and Bayesian polishing, the final 136,333 particles were refined with a soft mask around the tri-snRNP core (encompassing PRP8, the long 5′ss oligo, U4/U6 stem I and stem II, U5 snRNA, PRP3, SNU114, SAD1, DIM1, PRP6NTD, SF3A1CT, PRP28NTD and SNU13), producing a 3D reconstruction at a nominal resolution of 3.7 Å.
For the pre-BATP complex, 757,260 particles from 11,752 micrographs were picked, extracted and binned to 200 × 200 pixels (3× binned, pixel size of 3.48 Å). A total of 499,792 particles were retained after 2D classification. Various starting models were tested for 3D classification, including the tri-snRNP core from the pre-B, pre-B5′ss and pre-B5′ss+ATPγS complexes. The density of BRR2 was erased from all of the starting models to prevent model bias, and the low-pass filtered tri-snRNP core from the pre-B5′ss+ATPγS complex worked best for 3D classification. No class resembling pre-B or pre-B5′ss was detected even when the two complexes were used as the starting model. The particles from the best 3D class (94,460 particles) were further 3D classified with a resolution limit of 30 Å, which showed that 25.4% of the particles contain a well-resolved second protomer. The rest (74.6%) of the particles showed a poorly resolved second protomer, which was due to either the flexibility of the second protomer or the lack of stable tri-snRNP integration in the second protomer (that is, it consists of a CE A-like complex). Given that all of the 94,460 particles contained at least one good protomer, for 3D reconstruction of the high-resolution core, all of these particles were re-centred and re-extracted in the original pixel size in a 480 × 480 pixels box. After two rounds of 3D refinement, CTF refinement and Bayesian polishing, the final 3D refinement was performed with a soft mask around the tri-snRNP core (encompassing PRP8, the 5′ss region of the MINX exon RNA, U4/U6 stem I and stem II, U5 snRNA, PRP3, SNU114, SAD1, DIM1, PRP6NTD, SF3A1CT, PRP28NTD and SNU13), producing a 3D reconstruction at a nominal resolution of 3.7 Å. Subsequent local 3D classification around the tri-snRNP core did not reveal further structural heterogeneity, which suggested that the tri-snRNP core remains identical regardless of the presence or absence of a stable second protomer.
For the pre-BAMPPNP complex, 619,945 particles from 20,337 micrographs were picked, extracted and binned to 200 × 200 pixels (3× binned, pixel size of 4.05 Å). In total, 371,919 particles were retained after 2D classification. The same set of starting models prepared for the pre-BATP complex was used for 3D classification of the pre-BAMPPNP complex, with the low-pass filtered tri-snRNP core from the pre-B complex working best. No class resembling pre-B5′ss+ATPγS was detected even when it was used as the starting model. The particles from the best 3D class were re-centred and re-extracted in the original pixel size in a 480 × 480 pixels box. After one round of 3D refinement, CTF refinement and Bayesian polishing, the final 53,422 particles were refined with a soft mask around the tri-snRNP core (encompassing PRP8NTD, PRP8Large, U4/U6 stem I and stem III, U5 snRNA, SNU114, SAD1, DIM1, PRP6NTD, SF3A1CT, PRP28NTD and BRR2NTD), producing a 3D reconstruction at a nominal resolution of 4.1 Å. Focused classification without alignment followed by a masked refinement was applied to improve the PRP28/U1 snRNP region (encompassing PRP8, U5 snRNA, PRP28 and U1 snRNP) to a nominal resolution of 6.1 Å.
Model building and refinement
Model building was carried out by docking cryo-EM, crystal and AlphaFold2 structures into EM density and adjusting in COOT35. A list of modelled protein and RNA components, as well as their corresponding model templates, is provided in Supplementary Table 3. In brief, the CE pre-B complex was modelled by fitting the tri-snRNP and U2 snRNP parts of the CI pre-B complex (Protein Data Bank (PDB) identifier 6QX9) into the EM density as rigid bodies. The U2 part (including the SF3B core complex, the SF3A core complex, U2 Sm, U2-A′ and U2-B″) was truncated to a polyalanine chain without further adjustment. The SF3B6 protein was modelled based on its position relative to the SF3B1 C-terminal HEAT domain in the A-like complex (PDB 7Q4O) without further adjustment, consistent with crosslinks (Supplementary Table 2 and Extended Data Fig. 2). For the high-resolution tri-snRNP part, each individual component and its side chains were adjusted manually in COOT. The B-like complex was modelled by fitting the B complex model (PDB 8Q7N) into the EM density, and the parts that are absent in B-like (that is, UBL5, an extended U6/5′ss helix, TCERG1 and BUD31) were deleted from the model. Two copies of the 5′ss oligo were modelled de novo, and the high-resolution tri-snRNP part was manually adjusted in COOT. The pre-B5′ss complex was modelled by fitting individual components of the CE pre-B complex into the EM density as rigid bodies. PRP8, along with 5′ss oligo 1, was taken from the B-like complex and fit into the EM density as a rigid body. The side chains were initially truncated to a polyalanine chain owing to the relatively lower resolution, and the carbon backbones were manually adjusted in COOT. The side chains were then added back manually at the positions where the local resolution allows. The pre-B5′ss+ATPγS) complex was modelled by fitting individual components of the B-like complex into the EM density. The high-resolution tri-snRNP part was adjusted in COOT. The crystal structure of the BRR2 helicase (PDB 4F91) was truncated into a polyalanine chain and docked into the density as a rigid body. The BRR2CC was not further adjusted, and the N-terminal cassette was manually adjusted into the density in COOT. The C-terminal part of SF3A1 (amino acids 496–521) was predicted by AlphaFold2 and docked into the density and adjusted in COOT. U6 nucleotides between the U6/5′ss helix and U4/U6 stem III (nucleotides 35–39), and U4 nucleotides between U4/U6 stem I and stem III (nucleotides 63–74) were de novo modelled in COOT. The pre-B5′ssLNG+ATPγS complex was modelled by fitting the pre-B5′ss+ATPγS complex into the EM density, and the flexible U4 snRNA strand (nucleotides 62–85) was deleted. The U4 Sm core was fit into the density as a rigid body. The extended U6/5′ss helix was modelled as a A-form helix and fit into the density. The pre-BATP complex was modelled by fitting the pre-B5′ss+ATPγS complex into the EM density, and changing the 5′ss oligo sequence into the MINX exon sequence. A−4 and C−5 of the MINX exon were de novo modelled into the EM density in COOT. The PRP28 RecA domains were deleted owing to the absence of EM density at the corresponding position. The pre-BAMPPNP complex was modelled by fitting the CE pre-B complex into the EM density. The U1 Sm core, U1 snRNA and U1-70K were taken from the CI pre-B complex (PDB 6QX9) and docked into the EM density as a rigid body. The closed RecA domains of PRP28, together with the unknown single-stranded RNA, were modelled based on the crystal structure of the closed Mss116p DEAD-box helicase bound to AMP-PNP and a single-stranded RNA (PDB 3I5X). Coordinates of the tri-snRNP parts of the various complexes were refined in real space using PHENIX36.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
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