Tag: Autism spectrum disorders

  • Mis-splicing of a neuronal microexon promotes CPEB4 aggregation in ASD

    Mis-splicing of a neuronal microexon promotes CPEB4 aggregation in ASD

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    Animals

    Cpeb4 KO mice45 and conditional transgenic mice overexpressing the human CPEB4 isoform that lacks exon 4 (TgCPEB4Δ4)2 both in a C57BL/6J background were used. All mice were bred and housed in the CBMSO animal facility. Mice were grouped four per cage with food and water available ad libitum and maintained in a temperature-controlled environment on a 12–12 h light–dark cycle with light onset at 8:00 and a relative humidity of 55 ± 10%. Animal housing and maintenance protocols followed local authority guidelines. Animal experiments were performed under protocols approved by the CBMSO Animal Care and Utilization Committee (Comité de Ética de Experimentación Animal del CBMSO, CEEA-CBMSO) and Comunidad de Madrid (PROEX 247.1/20).

    Generation of mEGFP–CPEB4 mice

    A synthetic sequence consisting of the mEGFP linker sequence flanked by short regions of 5′ homologous (238 bp) and 3′ homologous (99 bp) DNA was obtained (Twist Bioscience). PCR was carried out on the synthetic sequence using the following primers: Fw ssDNA-mGFP–CPEB4 (phosphorylated) tacttcaagcaaacatatttgagatacagggga; Rv ssDNA-mGFP–CPEB4 (thiol-protected) GGTGATGGTGTGGAGGCTGC. Single-stranded DNA (ssDNA) was generated from double-stranded DNA by lambda exonuclease digestion of the phosphorylated strand, followed by gel purification and column extraction. Animals were generated by electroporation of isolated mouse zygotes with ssDNA combined with Cas9 protein and guide/tracr RNA ribonuclear protein complexes (guide; C45gRNA ATCCTAAAAATAATAAATGG). The correct integration of the knock-in cassette was confirmed by PCR and sequencing of the region. The resulting positive mice were crossed with C57BL6/J mice to confirm germline transmission. The offspring were maintained in a C57BL/6J background, and routine genotyping was performed by PCR using the following genotyping primers: 5′-ACGTAGGGTGATAAGCTGTGAT3′ (Fw) and 5′-AGGGTCTTGTTGTTCTTGCTGT-3′ (Rv). Mice were maintained in a specific pathogen-free facility with a 12–12 h light–dark cycle at 21 ± 1 °C at a relative humidity of 55 ± 10% and given ad libitum access to standard diet and water. Animal handling and all experimental protocols were approved by the Animal Ethics Committee at the Barcelona Science Park and by the Government of Catalonia.

    Mouse mEGFP–CPEB4 striatal neuron extraction and culture

    mEGFP–CPEB4 mice over 6 weeks of age were crossed in timed matings. Females were weighed weekly to monitor gestation progression. Females with an increment over 3 g up to 18 days after a positive plug were euthanized and embryos were collected at embryonic day 18.5 in cold buffer containing 1× HBSS, 10 mM glucose and 10 mM HEPES. A tail sample was also collected for embryo genotyping. Brains were dissected in the aforementioned buffer on an ice-cold plate, and the striatum was extracted and chopped. Samples were centrifuged and digested with a previously heated solution containing 1× HBSS, 10 mM glucose, 10 mM HEPES, 12 U ml–1 papain (Worthington LS003180) and 5 mM l-cysteine for 15 min at 37 °C. Samples were then disaggregated in a buffer containing 1× DMEM/F-12, 2 mM glutamine, 1 mM sodium pyruvate, 20 mM glucose and 10% inactivated horse serum. Cells were seeded at a confluence of 25,000 cells per well in µ-Slide 8-well ibiTreat imaging plates (Ibidi, 80826) previously coated with poly-d-lysine. Cells were then incubated at 37 °C for 1 h. After this time, medium was exchanged with previously tempered medium containing 1× Neurobasal (Gibco, 21103049), 1× B27 with vitamin A (Gibco, 17504044), 2 mM glutamine and 0.5% penicillin–streptomycin (PS). Medium was refreshed every 2–3 days. Neurons were considered differentiated after 7 days of culture. After genotyping, homozygous mEGFP–CPEB4 mice and wild-type littermates were selected for imaging. When specified, cell depolarization was induced by the addition of 50 mM KCl with 1:3 medium dilution. Neurons were maintained in culture for up to 14 days.

    mEGFP–CPEB4 distribution in neurons

    Primary striatal neurons from mEGFP–CPEB4 mice were imaged at 7 days of differentiation using a LIPSI spinning disk microscope (Nikon). Image acquisition was performed using a fully incubated, high-content, high-speed screening LIPSI platform (Nikon) equipped with an Eclipse Ti2 inverted microscope and a Yokogawa W1 confocal spinning disk unit. The spinning disk unit with an Apo LWD ×40 water lens of 1.15 numerical aperture, and a 488 nm (20%) laser was used for acquisition on a Prime BSI Photometrics sCMOS camera. NIS Elements AR (v.5.30.05) software was used for acquisition, and Fiji/ImageJ software was used to adjust images for visualization.

    mEGFP–CPEB4 neuronal stimulation with NMDA

    Primary striatal neurons from mEGFP–CPEB4 mice were imaged at 14–21 days of differentiation, and where specified, neuron stimulation was induced by the addition of 20 µM NMDA (Tocris, 0114), a selective NMDA receptor agonist. Stimulated neurons were imaged using a fully incubated Zeiss Elyra PS1 LSM 880 confocal microscope with a Plan ApoChromat ×63/1.2 Imm corr oil objective. A 488 nm (50%) laser was used for acquisition on a Prime BSI Photometrics sCMOS camera. Images were captured every 15 min over the recording period. Zen Elements AR (v.5.30.05) software was used for acquisition, and Fiji/ImageJ software was used for image quantification and to adjust images for visualization. A tailor-made macro applying an intensity threshold was used to accurately segment cytoplasmic condensates and the whole cell for each time frame. The condensed fraction per frame was obtained as the sum of areas of condensates divided by the cell area. For representation, the values were normalized to that measured at the end of the stimulation period.

    nCPEB4 extraction from mouse brains

    To extract nCPEB4 from the brains of 6-month-old control mice, Cpeb4 KO mice and TgCPEB4Δ4 mice, around 500 mg of tissue was first collected and snap-frozen in liquid nitrogen. Each sample was homogenized in 5 ml lysis buffer (50 mM Tris, pH 7.7, 5% glycerol, 0.1% Triton X-100, 1% NP-40, 50 mM NaCl, 50 mM imidazole and Pierce protease inhibitor, EDTA-free) using a Polytron homogenizer and rotated for 30 min at 4 °C. The homogenate was moved to high-speed PPCO centrifuge tubes and centrifuged at 48,000g at 4 °C for 20 min. After this, the supernatant was retained while the resultant pellet was dissolved in 4 ml lysis buffer and homogenized further using the Polytron homogenizer with the same protocol. This process was repeated 3 times (with 1 ml reduction of lysis buffer after each round of homogenization) to maximize the extraction of nCPEB4. To further clarify the combined supernatants, they were filtered through a Miracloth membrane (Millipore) to remove lipids and then passed through a 0.45 μm filter. Exploiting the histidine-rich regions present in the sequence of nCPEB4 (23RFHPHLQPPHHHQN36 and 229LSQHHPHHPHFQHHHSQHQQ248), a 2-elution step Ni2+-affinity chromatography was carried out using a Histrap HP 5 ml (GE Healthcare) on a FPLC apparatus (ÄKTA Pure, GE Healthcare). The combined supernatants were injected into a column pre-equilibrated with binding buffer consisting of 50 mM Tris, pH 7.7, 50 mM NaCl and 50 mM imidazole. The bound fraction was initially washed in a high-salt buffer consisting of 50 mM Tris, pH 7.7, 1 M NaCl and 50 mM imidazole. This step is crucial as it removes a high-molecular-weight nonspecific binder that was detectable by western blotting (WB), even in the Cpeb4 KO mice. The removal of this nonspecific binder is important to ensure the integrity of subsequent analyses. Once the nonspecific binder was completely removed, nCPEB4 was eluted using a second buffer containing 50 mM Tris, pH 7.7, 50 mM NaCl and 500 mM imidazole. The non-bound, washed and eluted fractions were then analysed by WB using Bis-Tris 4–12% gradient gels. At this point, fractions containing nCPEB4, verified by WB in SDS–PAGE, were used for proteinase K digestion and SDS-resistance analysis using 1.5% SDD–AGE as previously described46. Here, the non-boiling proteins were transferred to a nitrocellulose membrane by capillary methods and probed with an anti-CPEB4 antibody. Samples identified as CPEB4 monomers and aggregates were selected for subsequent seeded aggregation assay. Additionally, to quantify the amount of CPEB4 aggregates, the same samples were injected into a Superdex 200 Increase 10/300 GL (GE Healthcare) column pre-equilibrated with 1× PBS, pH 7.5. The eluted fractions from the gel filtration chromatography were combined every 4 fractions (2 ml) and concentrated into 100 µl using a Pierce concentrator, PES, 30 K MWCO, 0.5 ml, to be ultimately analysed using 1.5% SDD–AGE. For all the blots described here, including SDS–PAGE, immunodot blots and SDD–AGE, a 1:2,000 dilution of polyclonal rabbit anti-CPEB4 antibody (Abcam, ab224162) and a 1:5,000 dilution of HRP-linked anti-rabbit IgG antibody (Cell Signaling Technology, CST-7074S) were used.

    Proteinase K digestion

    About 400 ng of total protein, estimated from BCA assays, containing endogenous nCPEB4 extracted from the brains of 6-month-old control mice, Cpeb4 KO mice and TgCPEB4Δ4 mice were digested with 0.1, 0.5, 1, 5 and 10 ng of proteinase K for 2 min at 37 °C. Proteinase K activity was stopped by heating the samples to 75 °C. Next, 2 μl of the enzyme-treated reaction mixture was manually applied to a nitrocellulose membrane. The membrane was blocked in 5% milk in TBS-T buffer and probed with anti-CPEB4 antibody (Abcam, ab224162).

    Seeded aggregation assay

    A concentration of 1% w/w of the seed, 40 ng of total protein containing nCPEB4 aggregates extracted from TgCPEB4Δ4 mouse brains, was incubated with the substrate, which consisted of 4 μg total protein containing soluble nCPEB4 extracted from wild-type (WT) mouse brains. Unless concentrated 100-fold, the seed used was not detectable by WB. The seeding reaction was carried out at 4 °C for 24 h during the time course experiment in 50 mM Tris, pH 7.7, and 50 mM NaCl. The seeded reactions, which were non-boiled, were analysed using 1.5% SDD–AGE as previously described46. The proteins were transferred to a nitrocellulose membrane by capillary methods and probed with anti-CPEB4 antibody (Abcam, ab224162) to follow the aggregation of WT nCPEB4 in a time-dependent manner.

    Proteostat staining and CPEB4 immunofluorescence

    Six-week-old TgCPEB4Δ4 mice (n = 4) and control littermates (n = 3) were anaesthetized by an intraperitoneal injection of pentobarbital and then transcardially perfused with PBS. Brains were immediately removed and each hemisphere placed in 4% paraformaldehyde overnight at 4 °C, followed by 3 PBS washes (10 min each) and then immersed in 30% sucrose in PBS for 72 h at 4 °C and them included in optimum cutting temperature compound (Tissue-Tek, Sakura Finetek Europe, 4583) and immediately frozen. Samples were stored at −80 °C until use.

    Brain hemispheres were cut sagittally at 30 µm on a cryostat (Thermo Scientific), and sections were stored (free floating) in glycol-containing buffer (30% glycerol and 30% ethylene glycol in 0.02 M PB) at −20 °C.

    For staining, sections (2 per mouse) were washed in PBS to eliminate the cryoprotective buffer and permeabilized in 0.2% Triton X-100 for 30 min at room temperature, and then stained with the dye Proteostat (Enzo51035-K100; 1:2,000) for 15 min at room temperature followed by 2 PBS washes (10 min each) and then 1% acetic acid for 30 min at room temperature, followed by 3 PBS washes (10 min each). For CPEB4 immunofluorescence, sections were immersed in blocking solution (2% NGS, 1% BSA and 0.2% Triton X-100 in PBS) for 1 h at room temperature and then incubated overnight at 4 °C with anti-CPEB4 primary monoclonal antibody (1:1,000, mouse monoclonal, homemade, ERE149C) in blocking solution. After 3 PBS washes (10 min each), sections were incubated with Alexa 488 donkey anti-mouse secondary antibody (1:500, Thermo Fisher, A-21202) for 1 h followed by 3 PBS washes (10 min each) and, finally, nuclei were stained by incubating with DAPI (1:10,000 in PBS, Merck) followed by 3 PBS washes (10 min each) and mounted with Prolong medium (Life Technologies).

    Images of the striatum were obtained with a vertical Axio Observer.Z1/7 laser scanning microscope (LSM 800, Carl Zeiss) at ×63 magnification with ×2 optical zoom and analysed by performing z stacks (11 optical sections with a thickness of 1 μm, spanning 6.6 μm on the z axis). Sequential scanning mode was used to avoid crosstalk.

    Medium-sized spiny neurons were distinguished by the morphology and size of the nucleus, and fields were selected to typically include 4–8 medium-sized spiny neurons. The number of Protesotat and CPEB4 double-positive foci was manually counted per cell fully included within the z stack. Typically, between 16 and 20 cells were analysed per mouse from a total of 50 control and 73 TgCPEB4Δ4 neurons.

    Significance for differences in the number of positive foci between control mice and TgCPEB4Δ4 mice was assessed using a generalized linear mixed model (family = Poisson(link = ‘identity’)) with mouse as the random effect (Supplementary Methods).

    Plasmids for expression in N2a cells

    Human nCPEB4 (UniProt identifier Q17RY0-1) FL open reading frame (ORF) was cloned into a pBSK vector. The me4 sequence (nucleotides 1258–1281) was deleted by PCR on a pBSK-nCPEB4 plasmid using Gibson assembly master mix (New England Biolabs, E2611S) following the manufacturer’s instructions. Mutagenesis of nCPEB4 phosphorylation sites was performed using a QuikChange Lightning Multi Site-Directed Mutagenesis kit (Agilent Technologies, 210513), with oligonucleotides purchased from Sigma-Aldrich, following the manufacturer’s instructions. ΔHC mutants were generated by PCR mutagenesis on a pBSK-nCPEB4 plasmid, with oligonucleotides purchased from Sigma-Aldrich. For cell transfection, nCPEB4 ORF, FL, NTD and mutants were cloned into pPEU4 and pPEU5 vectors, which contain a C-terminal eGFP or mCherry tag, respectively, by In-Fusion (BD Clontech) cloning reaction47. For BioID, xCPEB4 or BirA ORF was cloned into a pBSK vector. me4 was added to the xCPEB4 sequence by PCR on a pBSK-xCPEB4 plasmid using Gibson assembly master mix (New England Biolabs, E2611S) and following the manufacturer’s instructions. A MYC tag and BirA ORF were added at the N terminus of pBSK-xCPEB4 plasmid. For competition experiments, xCPEB1 RRMZZ and xCPEB4 RRM domains were cloned in pBSK, and a HA tag was added at the N terminus. pBSK-Emi2 3′ UTR was obtained from a previous study48.

    N2a cell culture, differentiation and DNA transient transfection

    N2a cells were grown in DMEM with 10% FBS, 1% PS and 2 mM l-glutamine for maintenance. For fixed-cell imaging, cells were seeded on 6-well plates with 12-mm-diameter poly-lysine-coated glass coverslips (Marienfeld Superior). For live-cell imaging, cells were seeded on µ-Slide 8-well ibiTreat plates. For differentiation, medium was exchanged with DMEM with 0.5% FBS, 1% PS, 2 mM l-glutamine and 1 µM retinoic acid and cells were grown for 48 h. They were then transfected at 60% confluence with 1.25 µg DNA using Lipofectamine LTX and Plus reagent (Thermo Fisher, 15338100) following the manufacturer’s protocol. When specified, N2a depolarization was induced as described for striatal neurons, specified in the section ‘Mouse mEGFP–CPEB4 striatal neuron extraction and culture’.

    N2a cell line characterization

    N2a cells, like neurons, express CPEB4 variants including and excluding me4 (nCPEB4 and nCPEB4Δ4, respectively), independently of their differentiation status (Extended Data Fig. 1e). By contrast, cell lines of non-neural origin only express nCPEB4Δ4. Inclusion of me4 in N2a cells correlates with the expression of the splicing factor SRRM4 but not with that of RBFOX1 (Extended Data Fig. 1f). Depletion of SRRM4 in N2a cells decreases the inclusion of me4, whereas overexpression of SRRM4 in the non-neuronal cell line 293T forces its inclusion5,49 (Extended Data Fig. 1g). N2a cells, therefore, recapitulate the neuron-specific regulation of CPEB4 alternative splicing.

    nCPEB4–GFP distribution in N2a cells

    Twenty-four hours after transfection, N2a cells were fixed with 4% paraformaldehyde (Aname, 15710) in PBS for 10 min at room temperature. They were then washed with PBS and incubated with 0.5 µg µl–1 DAPI (Sigma) for 15 min. Coverslips were rinsed with PBS and mounted on a glass slide with Prolong Gold Antifade mountant (P36934, Invitrogen). Image acquisition was performed with a Leica SP5 confocal microscope (Leica Microsystems), and z series stacks were acquired at 1,024 × 1,024 pixels using a ×63/1.4 numerical aperture oil immersion objective with a zoom factor of 2. Argon 488 nm (20%) and diode 405 nm (10%) lasers were used. Hybrid detectors for GFP (500–550 nm with 33% gain) and DAPI (415–480 nm, 33% gain) were used for acquisition. LAS AF Leica software was used to acquire 10–20 z stack slices per cell with a z step size of 0.5 µm. Fiji/ImageJ software was used to perform the image analysis. A tailor-made macro using BioVoxxel Toolbox and 3D object counter plug-ins was used to accurately segment and obtain the number and volume of foci per cell.

    Live-cell imaging of GFP-tagged CPEB4 variants in N2a cells

    Live imaging of overexpressed nCPEB4–GFP variants in N2a cells was performed 20 h after transfection, whereas primary striatal neurons from mEGFP–CPEB4 mice were imaged at 7 days of differentiation. For both types of cells, image acquisition was performed using a spinning disk microscope (Andor Revolution xD, Andor). A total of 24 images were taken per experiment (4 before the addition of the stimulus and 20 after), with 13 z stacks at 512 × 512 pixels of format resolution. Images were acquired with a step size of 0.5 μm. For acquisition, the typical frame rate was adjusted to 5 images per s at 50 ms integration time of the EMCCD camera (Andor). An argon 488 nm laser (20%) was used for acquisition with a 1.4 numerical aperture/×60 oil immersion objective. Fiji/ImageJ software was used to obtain a z projection of the z stacks and subsequent concatenation of images. The obtained time-lapse images were subsequently used for manual quantification of nCPEB4 dissolution events. Cells were manually classified into two categories depending on the existence of cytoplasmic foci at t = 60 min: cells with remaining foci or cells without. For nCPEB4 and nCPEB4Δ4 FL comparison, the percentage of cells with remaining cytoplasmic foci after the depolarizing stimuli (t = 60 min) was calculated from a pool of 7 experiments. Unless specified, the percentage of cells with remaining cytoplasmic foci after the depolarizing stimuli (t = 60 min) was calculated per each experiment. When specified, blind analysis and classification were performed independently by a group of four different people from a pool of experiments.

    FRAP in N2a cells

    A spinning disk microscope from Andor, equipped with a FRAPPA module, was used for FRAP experiments. A total of 350 images were taken per experiment (50 images before the bleaching and 300 after) at 512 × 512 pixels. The typical frame rate was set to the fastest (88 ms) with an exposure time of 50 ms on an EMCCD camera. An AOTF 488 nm laser (20%) was used for acquisition, and 50% laser intensity was set for bleaching in 2 repeats with a dwell time of 40 ms. Fiji/ImageJ software was used for FRAP analysis. Three regions of interest (ROIs) were defined per video: background, cell and bleaching area. The mean fluorescence intensity was obtained for the 3 ROIs for all 350 frames, and the output was exported in tabular format. Outputs were then entered on the easyFRAP website50. Full-scale normalization was selected, ‘initial values to discard’ was set to 20 and the curves obtained were fitted to a single exponential model. Fluorescence recovery curves, mobile fraction and half time of recovery were obtained for each experimental condition.

    Mapping of nCPEB4 post-translational modified sites by mass spectrometry

    Overexpressed nCPEB4–GFP and nCPEB4Δ4–GFP were immunoprecipitated from basal (–stim) and stimulated (+stim) N2a differentiated cells. Cells were lysed in ice-cold RIPA buffer containing 50 mM Tris HCl pH 8, 1% Nonidet P-40 (NP40), 0.1% SDS, 1 mM EDTA, 150 mM NaCl, 1 mM MgCl2, 1× EDTA-free complete protease inhibitor cocktail (Roche, 5056489001) and phosphatase inhibitor cocktails (Sigma, P5726 and P0044). Cells were subsequently sonicated for 5 min at low intensity with a standard bioruptor diagenode. Following centrifugation (4 °C for 10 min at maximum speed), supernatants were collected, precleared and immunoprecipitated overnight at 4 °C with 50 μl GFP-conjugated Dynabeads protein A (Invitrogen). Beads had previously been conjugated with 5 μl anti-GFP antibody (Invitrogen, A6455) diluted in 500 μl PBS 1× for 2 h at room temperature. After immunoprecipitation, beads were washed with cold RIPA buffer and eluted with Laemmli sample buffer. Eppendorf LoBind microcentrifuge tubes (Eppendorf, 30108116) were used for the entire protocol. The immunoprecipitated elutions were run on precast 4–20% gradient gels (Midi Criterion TGX, Bio-Rad) and stained with Coomassie blue for 1 h at room temperature. Bands at the expected nCPEB4–GFP molecular weight were cut, washed with 50 mM NH4HCO3 and acetonitrile, reduced with 10 mM DTT and alkylated with 50 mM IAA. Samples were digested with trypsin and digestion was stopped by the addition of 5% formic acid. Following evaporation, samples were reconstituted in 15 μl of 1% formic acid and 3% acetonitrile. Mass spectrometry analysis of nCPEB4 PTM sites was performed as previously described7 with some modifications. In brief, samples were loaded in a μ-precolumn at a flow rate of 250 nl min–1 using Dionex Ultimate 3000. Peptides were separated using a NanoEase MZ HSS T3 analytical column with a 60 min run and eluted with a linear gradient from 3 to 35% buffer B in 60 min (buffer A: 0.1% formic acid in H2O; buffer B: 0.1% formic acid in acetonitrile). The column outlet was directly connected to an Advion TriVersa NanoMate (Advion) fitted on an Orbitrap Fusion Lumos Tribrid (Thermo Scientific). Spray voltage in the NanoMate source was set to 1.7 kV. The mass spectrometer was operated in a data-dependent acquisition mode. Survey mass spectrometry scans were acquired in the orbitrap with the resolution (defined at 200 m/z) set to 120,000. The top speed (most intense) ions per scan were fragmented in the HCD cell and detected in the orbitrap.

    For peptide identification, searches were performed using MaxQuant (v.1.6.17.0) software and run against a target and decoy database to determine the false discovery rate. The database included proteins of interest sequences (nCPEB4–GFP and nCPEB4Δ4–GFP) and contaminants. Search parameters included trypsin enzyme specificity, allowing for two missed cleavage sites, oxidation in methionine, phosphorylation in serine, threonine and tyrosine, methylation and demethylation in lysine and arginine, and acetylation in the protein N terminus as dynamic modifications, and carbamidomethyl in cysteine as a static modification. Peptides with a q value lower than 0.1 and false discovery rate < 1% were considered as positive identifications with a high confidence level. Mass spectrometry spectra were searched against contaminants (released in 2017) and user proteins using Andromeda and MaxQuant (v.1.6.17.0) software. To accept a site as modified, PTM localization probability was set above 75%. For the differential expression analysis, a t-test on PTM site intensities from MaxQuant was applied for each site within nCPEB4 variants. For data visualization, two parameters were used for each PTM site, namely the sum of intensities of modified peptides that contain the specific PTM-site (Int_mod) and the PTM-to-base ratio, with the latter calculated as: Int_mod/Int_unmod, where Int_unmod is the sum of intensities of unmodified peptides that contain the site. For data visualization, the PTM-to-total ratio was calculated for each site as follows: PTM-to-total = Int_mod/(Int_mod + (Int_mod/PTM-to-base)).

    Effect of phosphorylations on condensate dissolution

    To strengthen the conclusion that phosphorylation of nCPEB4 does not promote condensate dissolution, we studied the behaviour in N2a cells of the condensates formed by phosphomimicking (S/T to D) and non-phosphorylatable (S/T to A) variants of nCPEB4(NTD), the phosphorylation status of which cannot be altered by depolarization. In agreement with our previous findings11, the former had a lower propensity to condense (Extended Data Fig. 2c) and, in agreement with our conclusion, both variants dissolved after depolarization (Extended Data Fig. 2d,e).

    Intracellular pH tracking

    Quantitative determination of intracellular pH (pHi) was performed using the cell-permeant ratiometric pH indicator SNARF-5F 5-(and-6)-carboxylic acid AM (Thermo Fisher) in live imaged N2a cells at 48 h of differentiation. In brief, for loading the pH indicator into cells, they were incubated with 10 µM SNARF-5F 5-(and-6)-carboxylic acid AM diluted in serum-free DMEM for 15 min at 37 °C. Cells were then washed and imaged in serum-free DMEM. A Zeiss Elyra PS1 LSM 880 confocal microscope using a Plan ApoChromat ×40/1.2 Imm corr DIC M27 water objective was used for acquisition at 2 emission wavelengths: −575 nm and 640 nm. Images were captured every 30 s over the recording period. pHi estimation was performed as described in previous publications51. In brief, in vivo pHi calibration was performed by fixing the pHi between 5.5 and 7.5 with a commercially available intracellular pH calibration buffer kit (Thermo Fisher). Valinomycin and nigericin were used to equilibrate the intracellular pH. The intensity of fluorescence emitted at the two wavelengths was used to calculate a ratio (RF640/F575) that is proportional to pHi. Fluorescence ratio values (RF640/F575) from cells with fixed pHi were used to obtain a calibration curve for each biological replicate. Experimental pHi estimation from the fluorescence ratio values was calculated using the following equation: pHi = (RF640/F575 + b)/m, where m is the slope from the calibration curve equation and b is the intercept.

    RNA extraction and real-time quantitative RT–PCR

    For N2a RNA extraction, cells were scraped into an ice-cold plate, collected and centrifuged at 500g for 5 min at 4 °C. For mouse tissue RNA extraction, organs were ground with a liquid-nitrogen-cooled mortar to obtain tissue powder. Total RNA was extracted from both cells and tissue powder using TRIsure reagent (Bioline, Ecogen, BIO-38033) following the manufacturer’s protocol and using phenol–chloroform. The RNA concentration was determined using a Nanodrop spectrophotometer (Nanodrop Technologies). Next, 1 μg of total RNA was reverse transcribed using RevertAid reverse transcriptase (Themo Fisher, EP0442) following the manufacturer’s recommendations and using oligodT and random hexamers as primers. Quantitative real-time PCR (qPCR) was performed in triplicate in a QuantStudio 6flex (Thermo Fisher) using PowerUp SYBR green master mix (Thermo Fisher, A25778). All quantifications of mRNA levels were first normalized to an endogenous housekeeping control (Tbp), and then mRNA relative quantities to a reference sample (brain, N2a undifferentiated) were calculated using the 2–ΔΔCt method. The following primers were used for qPCR: 5′-TGATTCCATTAAAGGTCGTCTAAACT-3′ (Fw) and 5′-GAAACAATGAAGACTGACCTCTCCTT-3′ (Rv) for Mm Cpeb4 isoform containing exons 3 and 4; 5′-TGATTCCATTAAAGCAAGGACTTATG-3′ (Fw) and 5′-GCTGTGATCTCATCTTCATCAATATC-3′ (Rv) for Mm Cpeb4 isoform lacking exon 3; 5′-TGATTCCATTAAAGGTCGTCTAAACT-3′ (Fw) and 5′-GGAAACAATGAAGACTGACCATTAAT-3′ (Rv) for Mm Cpeb4 isoform lacking exon 4; 5′-ATTCCATTAAAGGTCAGTCTTCATTG-3′ (Fw) and 5′-GCTGTGATCTCATCTTCATCAATATC-3′ (Rv) for Mm Cpeb4 isoform lacking exons 3 and 4; 5′-GGAAAGGGACCTTCAAAGCAGT-3′ (Fw) and 5′ CTCTGTCCTTGGCATCGGCT-3′ (Rv) for Mm Srrm4; and 5′-ACTTCTATGCAGGCACGGTG-3′ (Fw) and 5′-AGCCAGGCATTGCAGAAGTAT-3′ (Rv) for Mm Rbfox1. Mm JunB and cFos primers were obtained from a previous study5.

    Real-time semi-quantitative RT–PCR

    For CPEB4 splicing isoform amplification, specific primers were used in CPEB4 exon 2 (Fw primer) and exon 5 (Rv primer) as previously described2. PCR products conforming to the 4 isoforms of CPEB4 were resolved on a 2% agarose/GelRed gel run at 130 V for 2 h.

    WB analysis

    Cells were lysed in ice-cold buffer containing 1% NP40, 150 mM NaCl, 50 mM Tris HCl (pH 7.5), 2 mM EDTA, 2 mM EGTA, 20 mM sodium fluoride, 2 mM PMSF, 2 mM sodium orthovanadate, 1 mM DTT and 1× EDTA-free complete protease inhibitor cocktail. Lysed samples were then sonicated at medium intensity for 5 min with a standard bioruptor diagenode, and total protein content was quantified using a DC Protein assay (Bio-Rad, 5000113). Next, 15–30 μg of total protein lysate was resolved on SDS–PAGE gels and transferred to a nitrocellulose membrane (Cytiva, 10600001). After 1 h of blocking at room temperature in 5% non-fat milk, membranes were incubated overnight at 4 °C with primary antibodies and subsequently with secondary antibodies for 2 h at room temperature. Specific proteins were labelled using the following primary antibodies: CPEB4 (1:100, homemade, mouse monoclonal, ERE149C); GFP (1:2,000, Invitrogen, rabbit polyclonal, A6455); MYC (1:1,000, Abcam, goat polyclonal, ab9132); and β-actin (1:10,000, Abcam, mouse monoclonal, ab20272) or streptavidin (1:5,000, Thermo Fisher, S911). The following secondary antibodies were used: goat anti-mouse (1:300, Thermo Fisher, 31430); goat anti-rabbit (1:300, Thermo Fisher, G-21234); and donkey anti-goat (1:300, Abcam, ab6885). Membranes were then incubated for 3 min with Amersham ECL TM WB detection reagents (Sigma, GERPN2106) or for 5 min with Clarity Western ECL substrate (Bio-Rad, 1705061).

    nCPEB4 and nCPEB4Δ4 co-localization experiments in N2a cells

    mCherry red signals were acquired with a DPSS 561 excitation laser (9%) and a HyD2 detector set to 570–650 nm with a gain of 33%. DAPI and GFP signals were acquired using the settings specified in the section ‘nCPEB4–GFP distribution in N2a cells’. For measuring the extent of co-localization between the two channels, the ImageJ JaCoP plug-in was used to obtain Pearson’s correlation coefficients and Mander’s overlap coefficients per cell.

    Immunohistochemistry

    Mouse embryos at embryonic day 13.5 were fixed in 10% neutral-buffered formalin solution and embedded in paraffin. Rabbit polyclonal primary antibody anti-CPEB4 (Abcam, ab83009) was used at 1:1,000 dilution. Embryo sections were counterstained with haematoxylin.

    X.
    laevis oocyte preparation

    Stage VI oocytes were obtained from full-grown X.laevis females as previously described52. In brief, ovaries were treated with collagenase (2 mg ml–1; StemCell Technologies) and incubated in modified bath saline 1× medium with 0.7 mM CaCl2. Animal handling and all experimental protocols were approved by the Animal Ethics Committee at the Barcelona Science Park and by the Government of Catalonia.

    X.
    laevis BioID

    BioID was performed as previously described7. In brief, 150 stage VI X.laevis oocytes were microinjected with 50.6 nl of 50 ng μl–1 in vitro transcribed and polyadenylated RNAs corresponding to MYC-BirA-xCPEB4 variants. Oocytes were then incubated in 20 μM biotin (Merck) at 18 °C for 40 h. Oocytes were lysed in cold lysis buffer and centrifuged twice at 16,000g at 4 °C for 15 min. Cold BioID lysis buffer was added to cleared extract, and the resulting mixture was subjected to clearing with PD MiniTrap G-25 columns (GE Healthcare). Next, 1.6% Triton X-100 and 0.04% SDS were added, and extracts were incubated with MyOne Dynabeads Streptavidin C1 (Invitrogen). The beads were then washed with a subsequent sequence of wash buffers. The beads were resuspended in 3 M urea, 50 mM NH4HCO3, pH 8.0, and 5 mM DTT for 1 h at room temperature with orbital shaking and subsequently incubated in 10 mM iodoacetamide for 30 min at room temperature, and then DTT was added. Proteins were on-bead digested with trypsin (Promega) at 37 °C for 16 h with orbital shaking. Digestion was stopped by the addition of 1% formic acid. Mass spectrometry analysis of biotinylated proteins in xCPEB4 and xCPEB4 + Ex4 was carried out at the Mass Spectrometry Facility at IRB Barcelona as previously described7. In brief, samples were analysed using an Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Scientific). The MS/MS spectra obtained were searched against the UniProt (Xenopodinae, release 2017_02) and contaminants databases, and proteins of interest sequences using Proteome Discoverer (v.2.1.0.81).

    Identification of the nCPEB4 isoform interactome by immunoprecipitation coupled to mass spectrometry

    Overexpressed nCPEB4–GFP, nCPEB4Δ4–GFP and GFP (control) were immunoprecipitated from differentiated N2a cells. Cells were lysed in ice-cold RIPA buffer containing 50 mM Tris HCl pH 8, 1% Nonidet P-40 (NP40), 0.1% SDS, 1 mM EDTA, 150 mM NaCl, 1 mM MgCl2, 1× EDTA-free complete protease inhibitor cocktail (Roche, 5056489001) and phosphatase inhibitor cocktails (Sigma, P5726, and P0044). Cells were subsequently sonicated for 5 min at low intensity with a standard bioruptor diagenode. Following centrifugation (4 °C for 10 min at maximum speed), supernatants were collected, precleared and immunoprecipitated overnight at 4 °C with 50 μl GFP-conjugated Dynabeads protein A (Invitrogen). Beads had previously been conjugated with 10 μl anti-GFP antibody (Invitrogen, A6455) diluted in 500 μl PBS 1× for 2 h at room temperature. After immunoprecipitation, beads were washed with cold RIPA buffer (containing 0.05% NP-40 and 0.1% SDS) and eluted with Laemmli sample buffer. Eppendorf LoBind microcentrifuge tubes (Eppendorf, 30108116) were used for the entire protocol. The immunoprecipitated elutions were shortly run on 8% acrylamide 0.75 mm gels until the whole individual samples were compacted at the upper part of the running gel. Then, gels were stained with InstantBlue Coomassie for 1 h at room temperature. Bands corresponding to elutions were cut, washed and digested with 0.1 μg μl–1 trypsin, (Promega). Samples were digested with trypsin and digestion was stopped by the addition of 5% formic acid. Following evaporation, samples were reconstituted in 12 μl of 1% formic acid and 3% acetonitrile. In brief, mass spectrometry analysis of immunoprecipitates was performed as follows: samples were loaded into an Evotip trap column (Evosep) at a flow rate of 250 nl min–1. Peptides were separated using a EV1137 analytical column (Evosep) with a 88-min run and eluted with buffer A (0.1% formic acid in H2O) and buffer B (0.1% formic acid in acetonitrile). The column outlet was directly connected to an Easyspray (Thermo Scientific) fitted on an Orbitrap Eclipse Tribrid (Thermo Scientific). Spray voltage in the Easyspray source was set to 2.5 kV. The mass spectrometer was operated in data-dependent acquisition mode. The top speed (most intense) ions per scan were fragmented in the HCD cell and detected in the orbitrap. For peptide identification, searches were performed using Proteome Discoverer (v.2.5.0.400) software and run against databases including universal contaminants, mouse from Swissprot (2023/04) and bait proteins. Search parameters included trypsin enzyme specificity, allowing for two missed cleavage sites, oxidation in methionine, acetylation in the protein N terminus, methionine loss in the N terminus, and methionine loss in and acetylation in the N terminus as dynamic modifications, and carbamidomethyl in cysteine as a static modification. Protein hits in co-precipitates from each isoform were determined using a differential analysis of protein abundance in nCPEB4–GFP or nCPEB4Δ4–GFP relative to GFP. Protein group abundance values from Proteome Discoverer were used for protein quantification, and cut-off values for the fold change (|FC| > 1.5) and adjusted P value (padj < 0.05) were applied to define over-abundant significant proteins. Significant hits included proteins with no missing values in the three conditions (nCPEB4, nCPEB4Δ4 or GFP) or in only one condition, for which value imputation was performed. Only significant hits were considered for subsequent analyses. Protein hits differentially represented in nCPEB4Δ4–GFP versus nCPEB4–GFP were determined by a differential abundance analysis between the two baits, applying fold change (|FC| > 1.5) and padj < 0.05) as cut-off values.

    Competition experiments

    Competition experiments were performed as previously described10 using 23 nl of 500 ng μl–1 in vitro transcribed and polyadenylated RNAs encoding for HA-tagged xCPEB1 and xCPEB4 RRMs and variants. Not injected was considered as 0% competition whereas HA-xCPEB1 RRM was considered as 100% competition.

    Plasmids for protein expression in Escherichia coli

    An insert codifying for the nCPEB4(NTD) protein sequence (UniProt identifier Q17RY0-2, residues 1–448) was ordered in GenScript subcloned in a pET-30a(+) vector. The His6 tag and S tag from the plasmid were removed by PCR using a NEB Q5 site-directed mutagenesis kit, with oligonucleotides purchased from Sigma-Aldrich. The histidine to serine mutants were ordered from GenScript subcloned in a pET-30a(+) vector in the NdeI and XhoI restriction enzymes positions. The nCPEB4Δ4, ΔHC and Δ4ΔHC mutants were generated by PCR mutagenesis on the nCPEB4(NTD) plasmid using a NEB Q5 Site-directed mutagenesis kit, with oligonucleotides purchased from Sigma-Aldrich. The sequences of the N-terminal domain of nCPEB4 and mutants used for the in vitro experiments are described in Supplementary Methods.

    Protein expression and purification for in vitro experiments

    E.coli B834 cells were transformed with the pET-30a(+) plasmids. For non-isotopically labelled protein, the cells were grown in LB medium at 37 °C until the optical density at 600 nm (OD600) was 0.6, and then the cultures were induced with 1 mM IPTG for 3 h at 37 °C. For 15N or 15N,13C isotopically labelled protein, the cells were grown in LB medium until OD600 = 0.6 and then transferred into M9 medium53 (3 litres LB for 1 litre M9) containing [15N]H4Cl or [15N]H4Cl and [13C]glucose, respectively, and then the cultures were induced with 1 mM IPTG overnight at 37 °C. The cultures were then centrifuged for 30 min at 4,000 r.p.m., and the cells were resuspended with lysis buffer (50 mM Tris-HCl, 1 mM DTT, 100 mM NaCl, 0.05% Triton X-100, at pH 8.0, and supplemented with 500 μl of PIC and 500 μl of 100 mM PMSF).

    The cells were lysed by sonication and centrifuged for 30 min at 20,000 r.p.m. The pellet was washed first with wash-1 buffer (20 mM Tris-HCl, 1 mM DTT, 1 M NaCl, 0.05% Triton X-100, at pH 8.0, and supplemented with 500 μl of PIC, 500 μl of 100 mM PMSF, and 50 μl of 5 mg ml–1 DNAse) and then with wash-2 buffer (20 mM Tris-HCl, 1 mM DTT, 0.1 M l-arginine, at pH 8.0). The pellet was resuspended with the nickel-A buffer (25 mM Tris-HCl, 1 mM DTT, 50 mM NaCl, 8 M urea and 20 mM imidazole, at pH 8.0) and centrifuged for 30 min at 20,000 r.p.m. The supernatant was injected at room temperature into a nickel affinity column and eluted with a gradient from 0 to 100% of nickel-B buffer (25 mM Tris-HCl, 1 mM DTT, 50 mM NaCl, 8 M urea and 500 mM imidazole, at pH 8.0). The fractions with protein were pooled, and 1 mM EDTA was added. The sample was injected into a size exclusion Superdex 200 16/600 (GE Healthcare) column, running at 4 °C in size exclusion buffer (25 mM Tris-HCl, 1 mM DTT, 50 mM NaCl and 2 M urea, at pH 8.0). The fractions with protein were pooled and concentrated to approximately 150 μM. The sample was dialysed against the final buffer (20 mM sodium phosphate, 1 mM TCEP and 0.05% NaN3, at pH 8.0), fast frozen in liquid nitrogen and stored at −80 °C.

    Peptide for in vitro experiments

    The me4(GS)3me4 synthetic peptide with amidated or Cy3-modified C terminus and acetylated N terminus was obtained as lyophilized powder with >95% purity from GenScript. The peptide was dissolved in 6 M guanidine thiocyanate and incubated with agitation overnight at 25 °C. The sample was then centrifuged at 15,000 r.p.m. for 10 min. The supernatant was extensively dialysed against the final buffer (20 mM sodium phosphate, 1 mM TCEP and 0.05% NaN3, at pH 8.0)54. The peptide sample was then manipulated in the same way as the protein samples, as detailed below.

    Sample preparation for in vitro experiments

    All samples were prepared on ice as follows. First, a buffer stock solution consisting of 20 mM sodium phosphate buffer with 1 mM TCEP and 0.05% NaN3 was pH adjusted to 8.0 (unless otherwise indicated) and filtered using 0.22 μm sterile filters (buffer stock). A 1 M NaCl solution in the same buffer was also pH adjusted to 8.0 (unless otherwise indicated) and filtered (salt stock). The protein samples were then thawed from −80 °C on ice, pH adjusted to 8.0 (unless otherwise indicated) and centrifuged for 5 min at 15,000 r.p.m. at 4 °C. The supernatant (protein stock) was transferred to a new Eppendorf tube, and the protein concentration was determined by measuring its absorbance at 280 nm. The samples were prepared by mixing the correct amounts of buffer stock, protein stock and salt stock, as well as other indicated additives in the experiments, to reach the desired final protein and NaCl concentrations.

    Apparent absorbance measurement as a function of temperature

    The absorbance of the samples was measured at 350 nm (A350 nm) using 1 cm pathlength cuvettes and a Cary100 ultraviolet–visible spectrophotometer equipped with a multicell thermoelectric temperature controller. The temperature was increased progressively at a ramp rate of 1 °C min−1. The cloud point (Tc) values were determined as the maximum of the first-order derivatives of the curves, and the absorbance increase (ΔA) represents the difference between the maximum and the minimum absorbance values of the samples during the temperature ramp.

    For the experiment to quantify the reversibility of condensation, a 20 μM protein with 100 mM NaCl sample was prepared on ice. It was then split into 4 Eppendorf tubes and a temperature ramp was carried out with the first one after centrifugation for 2 min at 5 °C and 15,000 r.p.m. Once the Tc and ΔA for condensation had been determined, the other 3 samples were heated 10 °C above the Tc for 2.5 min and then cooled to 10 °C below the Tc for 5 more min. This procedure was repeated 1, 2, or 3 times for each sample. Next, the samples were centrifuged for 2 min at 5 °C and 15,000 r.p.m., and a temperature ramp was carried out to determine their respective Tc and ΔA values (Extended Data Fig. 7d).

    Microscopy in vitro

    For microscopy imaging, 1.5 μl of sample was deposited in a sealed chamber comprising a slide and a coverslip sandwiching double-sided tape (3M 300 LSE high-temperature double-sided tape of 0.17 mm thickness). The coverslips used had been previously coated with PEG-silane following a published protocol55. The imaging was always performed on the surface of the coverslip, where the condensates had sedimented.

    The DIC microscopy images were taken using an automated inverted Olympus IX81 microscope with a ×60/1.42 oil Plan APo N or a ×60/1.20 water UPlan SAPo objective using the Xcellence rt (v.1.2) software.

    For fluorescence microscopy experiments, the purified proteins were labelled with DyLight 488 dye (DL488, Thermo Fisher Scientific) or Alexa Fluor 647 dye (AF647, Thermo Fisher Scientific). The labelling, as well as the calculation of the labelling percentage and the determination of the protein concentration, was performed following the provider’s instructions. The final samples contained 0.5 µM of labelled protein and/or peptide out of the total indicated concentrations.

    FRAP experiments were recorded using a Zeiss LSM780 confocal microscope system with a Plan ApoChromat ×63/1.4 oil objective. Condensates of similar size were selected, and the bleached region was 30% of their diameter. The intensity values were monitored for different ROIs: ROI 1 (bleached area), ROI 2 (entire condensate) and ROI 3 (background signal). The data were fitted using EasyFrap software50 to extract the kinetic parameters of the experiment (recovery half-time and mobile fraction).

    Super-resolution microscopy images of the multimers and their time evolution were taken at 25 °C in a Zeiss Elyra PS1 LSM 880 confocal microscope using the Fast Airyscan mode with an alpha Plan ApoChromat ×100/1.46 oil objective. The pixel size was kept constant at 40 nm.

    Fluorescence microscopy images of the condensates and aggregates were taken at 37 °C in a Zeiss Elyra PS1 LSM 880 confocal microscope with an Airyscan detector using a Plan ApoChromat ×63/1.4 oil objective. The quantification of the aggregation process was done by image analysis using Fiji/ImageJ. The regions with the fluorescence signal not stemming from the background or the spherical condensates were selected. The percentage of the area of the field of view occupied by this selection corresponds to the aggregation value of the sample. The partitioning of the proteins in the condensates was calculated by image analysis using Fiji/ImageJ. The partitioning for each condensate was calculated by dividing the mean intensity of the condensate by the mean intensity of a ring of 1 μm thickness around the condensate.

    RNA for in vitro experiments

    The RNA used for in vitro experiments is a fragment of the 3′ UTR of cyclin B1 mRNA from X.laevis containing only one CPE site56,57, 5′-AGUGUACAGUGUUUUUAAUAGUAUGUUG-3′. We used it as a control to study whether it influences the properties of the condensates. RNA caused a slight decrease in the phase-separation propensity of both isoforms, larger for nCPEB4(NTD) than for nCPEB4Δ4(NTD), which we attribute to interactions with positively charged amino acids involved in the intermolecular interactions driving condensation (Extended Data Fig. 5f). Notably, however, the presence of RNA in the samples did not alter their propensity to aggregate (Extended Data Fig. 5g).

    Saturation concentration measurements

    Saturation concentration measurements of nCPEB4(NTD) and the histidine to serine mutants were carried out by incubating the samples at 40 °C for 5 min, followed by centrifugation at 5,000 r.p.m. for 1.5 min at 40 °C. The concentration of protein in the supernatant (csat) was determined by absorbance measurement at 280 nm.

    NMR spectroscopy

    The samples were prepared as indicated in the section ‘Sample preparation for in vitro experiments’ using isotopically labelled protein (15N- or 15N,13C-labelled). The prepared final samples were again pH adjusted to the desired value immediately before measurement. All the measurements were acquired at 5 °C using 3 mm NMR tubes with a sample volume of 200 µl.

    All NMR experiments, except the diffusion measurements, were carried out on a Bruker Avance NEO 800 MHz spectrometer equipped with a TCI cryoprobe. All NMR samples contained 100 μM protein concentration (unless otherwise indicated) in 20 mM sodium phosphate buffer with 1 mM TCEP, 0.05% NaN3, 7% D2O and 2.5 μM DSS for referencing, at pH 8.0 (unless otherwise indicated). Samples with denaturant agent contained the indicated concentrations of d4-urea.

    A 15N,13C-labelled sample at 280 μM for nCPEB4(NTD) or 200 μM for nCPEB4Δ4(NTD) with 4 M urea at pH 7.0 was used for backbone resonance assignment. A series of nonlinear sampled 3D triple resonance experiments were recorded, including the BEST-TROSY version58 of 1HN-detected HNCO, HN(CA)CO, HNCA, HN(CO)CA, HNCACB, HN(CO)CACB and (H)N(CA)NH. Also, additional 1Hα-detected HA(CA)CON and (HCA)CON(CA)H experiments59 were measured for nCPEB4(NTD). Backbone resonance assignments were performed using CcpNmr60 (v.2.4.2). The NMR assignments are available from the Biological Magnetic Resonance Data Bank (identifiers 51875 and 52346 for nCPEB4(NTD) and nCPEB4Δ4(NTD), respectively).

    pH titrations from 7.0 to 8.0 were carried out to transfer NH assignments to the final experimental conditions. Standard 2D 1H,15N-HSQC or BEST-TROSY experiments were measured at 7.0 ≤ pH ≤ 7.25. 2D 1H,15N-CP-HISQC61 experiments were used at pH ≥ 7.5 to reduce the effects of chemical exchange with water. For the urea titrations from 0 to 4 M at pH 8.0, 1H,15N-CP-HISQC experiments were measured. In the 1H,15N-CP-HISQC for the detection of arginine side-chain resonances, the 15N carrier was placed at 85 ppm, and 13C pulses for decoupling were centred at the chemical shift of 13Cδ (42 ppm) and 13C (158 ppm) arginine side chains.

    Standard 2D 1H,13C-HSQC experiments of 500 μM 15N,13C-labelled nCPEB4(NTD) were measured in the absence and presence of 4 M urea to monitor specific amino acid side chains easily identifiable by their typical 1H and 13C random coil chemical shifts.

    For histidine pKa determination, 2D 1H,13C-HSQC spectra of 75 μM 15N,13C-labelled nCPEB4(NTD) were measured in the presence of 4 M urea at pH values between 5.58 and 8.31. The pH-induced changes of the chemical shifts of histidine side chains (1H and 13C, both aliphatic and aromatic) were fitted to a sigmoid function to obtain an apparent pKa for all these histidine resonances in nCPEB4(NTD).

    Non-uniform sampled experiments were processed using qMDD62 (v.3.2). 2D 15N-correlations (1H,15N-HSQC, 1H,15N-CP-HISQC, BEST-TROSY) and 2D 1H,13C-HSQC were processed using NMRPipe63 and Topspin (v.4.0.8) (Bruker), respectively.

    15N-edited X-STE diffusion experiments64 of 100 μM 15N-labelled nCPEB4(NTD) in the absence and presence of 2 M urea were performed on a Bruker Avance III 600 MHz spectrometer equipped with a TCI cryoprobe. An encoding/decoding gradient length of 4.8 ms and a diffusion delay of 320 ms were used. The hydrodynamic diameter of nCPEB4(NTD) was estimated using dioxane as a reference molecule. Diffusion measurements under identical experimental conditions were carried out for dioxane, using in this case the PG-SLED sequence65. A gradient time (δ) of 1.6 ms and a diffusion time (Δ) of 70 ms were used. Diffusion coefficients were obtained by fitting the data to a mono-exponential equation using MestreNova (v.14.2.1-27684).

    Dynamic light scattering

    Dynamic light scattering (DLS) measurements were taken with a Zetasizer Nano-S instrument (Malvern) equipped with a He-Ne of 633 nm wavelength laser. Immediately before the measurement, the prepared samples were centrifuged for 5 min at 15,000 r.p.m. at 4 °C, and only the supernatant was subjected to measurement. Three measurements were performed for each sample, each of the measurements consisting of 10 runs of 10 s each. The experiments were carried out at 5 °C unless otherwise indicated. The deconvoluted hydrodynamic diameters arise from the mean of the peak of the intensity deconvolution of the data.

    Size exclusion chromatography coupled to multi-angle light scattering

    Size exclusion chromatography coupled to multiangle light scattering (SEC–MALS) experiments were performed by loading a 160 μM nCPEB4(NTD) with 0 mM NaCl sample into a Superose 6 increase 10/300 GL column (GE Healthcare) mounted on a Shimadzu Prominence Modular HPLC with a SPD-20 UV detector (Shimadzu) coupled to a Dawn Heleos-II multi-angle light scattering detector (18 angles, 658 nm laser beam) with an Optilab T-rEX refractometer (Wyatt Technology). The SEC-UV/MALS/RI system was equilibrated at 25 °C with 20 mM sodium phosphate buffer with 1 mM TCEP and 0.05% NaN3 at pH 8.0. Data acquisition and processing were performed using Astra 6.1 software (Wyatt Technology).

    Liquid-phase transmission electron microscopy

    Transmission electron microscopy (TEM) experiments were performed on a 50 μM nCPEB4Δ4(NTD) sample with 0 mM NaCl. The sample was first imaged in solid-state TEM using the same set-up as described below for liquid-phase TEM (LPEM). Pre-screening samples in solid-state TEM before the LPEM imaging procedure is routinely done to pre-screen the structures that will be imaged in liquid later. The sample with no stain was deposited onto 400 mesh Cu grids, which were plasma discharged for 45 s to render them hydrophilic and to allow optimal sample wettability.

    LPEM imaging was performed using a JEOL JEM-2200FS TEM microscope. The system was equipped with a field emission gun operating at 200 kV and an in-column Omega filter. The images were acquired with a direct detection device, the in-situ K2-IS camera (Gatan). The Ocean liquid holder, from DENSsolutions, was used to image the structure and dynamics of the specimens. The liquid samples were encased into two silicon nitride (SiXNy) chips. These chips had a 50-nm-thick SiXNy electron-transparent window of dimensions 10 × 200 μm. One of these chips had a 200 nm spacer that acts as a pillar and defines the liquid cell thickness, that is, z height, and hence the liquid thickness in the experiments. The chips were cleaned in HPLC-graded acetone followed by isopropanol for 5 min each to remove their protective layer made of poly(methyl methacrylate). Afterwards, the chips were plasma-cleaned for 13 min to increase their hydrophilicity. Next, 1.5 μl of non-stained sample was deposited on the previously prepared 200-nm-spacer chip. The drop-casted sample was enclosed by the spacer-less chip, thus sealing the liquid chamber. Then, 300 μl of the sample solution was flushed in the liquid holder at 20 μl min–1 with a syringe pump to ensure that the liquid cell inlet and outlet pipes were filled with the solution. We waited 5 min after collecting the sample solution from the outlet tube to minimize the convection effects from the flowing process. The liquid holder was introduced in the microscope, where imaging was performed in TEM mode and static conditions, that is, not in flow. To limit the electron beam dose (20 e Å–2) on the specimen, images were collected at the minimum spot size (number 5) with a small condenser lens aperture (CLA number 3). For our investigations, dose fractionation videos were recorded in counted mode at 20 frames per s with the K2 camera. Every image was recorded in the format of 4-byte greyscale and required the full size of the detector.

    The images and videos recorded were corrupted by noise, which significantly reduced the quality of the images, complicating any further analysis. Therefore, the Noise2Void (N2V) machine learning-based approach was adopted to overcome this problem66. Unlike the conventional machine learning-based approach, N2V reduces the noise of an image without any need for the corresponding noiseless image. This requirement makes the N2V ideal to process LPEM images, as noiseless images in liquid TEM are impossible to record. However, N2V requires an extensive dataset (also known as a training set) to fulfil its task, a common requirement to machine-learning-based approaches. Conventionally, the training set has to contain thousands of hundreds of images recorded with the same imaging settings to produce high-quality estimation of the noise distribution. Unfortunately, in our case, only single videos (image sequence) recorded at different imaging conditions were available. Therefore, the training set was created by sampling the image sequence every two frames to not bias the training process of the N2V. The remaining half of the image sequence was processed and used to derive the presented results.

    To train the N2V, 3,050 frames were selected, extracting 128 different non-overlapping squared patches (that is, portions of the pixels of the image) of 64 × 64 pixels from each of them. Moreover, the N2V was iterated for 100 epochs, a trade-off value between performances and processing time. The training was performed by extracting 128 random patches (64 × 64 pixels) from each training image. These values produced the best results in a short processing time.

    Molecular simulations

    Molecular dynamics simulations were performed using the single-bead-per-residue model CALVADOS (v.2)22,23 implemented in OpenMM (v.7.5)67. All simulations were conducted in the NVT ensemble at 20 °C using a Langevin integrator with a time step of 10 fs and friction coefficient of 0.01 ps−1. In our simulations, pH was modelled through its effect on the charge of the histidine residues (qHis)68.

    Direct coexistence simulations were performed with 100 chains in a cuboidal box of side lengths [Lx, Ly, Lz] = [25, 25, 300] nm. Simulations were run in n = 3 independent replicas for at least 55 µs each. The systems readily formed a protein-rich slab spanning the periodic boundaries along the x and y coordinates. The initial 2 µs of the simulation trajectories were discarded, and time-averaged concentration profiles along the z axis were calculated after centring the condensates in the box as previously described22.

    To model protein multimers, 400 chains were initially placed at random positions in a cubic box of side length 188 nm and simulations were run in n = 2 replicas for 16 µs each. The formation and dissolution of protein multimers was monitored using a cluster analysis implemented in OVITO69. Proteins were clustered on the basis of the distances between their centres of mass, using a cut-off of 1.5 times the average radius of gyration of the protein. Contact maps were calculated between a chain in the middle of the condensate or multimer and the surrounding chains. Contacts were quantified using the switching function c(r) = 0.5 – 0.5 × tanh[(r – σ0)/r0], where r is the intermolecular distance between two residues, σ0 = 1 nm, and r0 = 0.3 nm.

    To match the conditions of the experiments with which the simulation results are compared, direct coexistence and multimer simulations were performed at ionic strengths of 150 mM and 60 mM, respectively. Configurations were saved every 2 ns for slabs and every 5 ns for multimer simulations.

    Simulation trajectories were analysed using MDTraj70 (v.1.9.6) and MDAnalysis71,72 (v.1.1). The molecular visualizations presented in Fig. 2j were generated using VMD73 (v.1.9.4).

    Characterization of the multimers

    To investigate which specific residues of nCPEB4(NTD) drive its condensation, we used solution NMR spectroscopy, a technique that can provide residue-specific information on the conformation and interactions of intrinsically disordered proteins74. Indeed, when conditions are insufficient for condensation, the same interactions driving this process can cause the monomer to collapse into a state that can be characterized at residue resolution, thus providing this key information75. Under such conditions (Supplementary Fig. 5a), nCPEB4(NTD) had a spectrum characteristic of a collapsed intrinsically disordered protein, in which only 13% of the NMR signals were visible (Supplementary Fig. 5b, in light green). We analysed the sample by DLS to confirm its monomeric nature, but we detected only nCPEB4(NTD) multimers with a hydrodynamic diameter of approximately 55 nm, which is much larger than that predicted for a monomer76 (approximately 11 nm) (Supplementary Fig. 5c).

    To characterize the multimers, also known as clusters, which have also been observed for phase-separating proteins with intrinsically disordered domains77,78,79,80, we first determined whether their formation is reversible. To this end, we performed DLS analysis of increasingly diluted samples of nCPEB4(NTD) under the same solution conditions. We observed that at 0.5 µM, the multimers seemed to be in equilibrium with a species with a hydrodynamic diameter close to that predicted for the monomer (Extended Data Fig. 3e, in green). Next, at this concentration, we modified solution conditions to favour condensation by increasing the temperature and ionic strength, as well as by decreasing the pH. In all cases, we observed a decrease in the signal corresponding to the monomer and an increase in that corresponding to multimers, thus indicating a shift of the multimerization equilibrium (Extended Data Fig. 3e). This result suggests that the nCPEB4(NTD) multimers are stabilized by the same types of interactions as the condensates (Extended Data Fig. 1m and Fig. 2e,k).

    These findings prompted us to study whether these multimers grow over time to become condensates observable by optical and fluorescence microscopy, that is, whether they represent intermediates in the condensation pathway. To this end, we first analysed, over 15 h, samples of freshly prepared nCPEB4(NTD) multimers by DLS. We observed a progressive increase in size and polydispersity up to an average hydrodynamic diameter of approximately 90 nm and a polydispersity index of approximately 0.10 (Supplementary Fig. 5d). We also determined the morphology of the multimers at the nanoscale by LPEM, confirming that they are spherical and have a diameter of 30–50 nm (Extended Data Fig. 3f and Supplementary Fig. 5e). Finally, super-resolution microscopy confirmed that the multimers grow with time, thus becoming larger spherical particles resembling condensates (Extended Data Fig. 3g). It is possible that the nCPEB4 multimers here identified correspond to mesoscopic condensates, equivalent to those observed by optical microscopy, albeit smaller; however, as their dimensions preclude their thorough physical characterization, we consider it appropriate to consider them distinct species in this work.

    We next carried out experiments to determine the nature of the species giving rise to the residue-specific NMR signals observed in the presence of multimers. To this end, we analysed a sample of multimers by SEC–MALS. This approach showed that the multimers are assemblies of approximately 350 nCPEB4(NTD) molecules (Supplementary Fig. 5f), corresponding to a molecular weight of approximately 1.7 × 107 Da. Next, we performed 15N-edited X-STE experiments to measure the diffusion coefficient of the species giving rise to the signals detected by NMR, from which we derived that they diffuse much more slowly than a monomer, with a value in semi-quantitative agreement with that obtained by DLS and LPEM (Supplementary Fig. 5g), thereby indicating that they correspond mainly to multimers. We concluded that solution NMR can be used to identify the most flexible regions of the nCPEB4(NTD) sequence under conditions in which it forms multimers, presumably corresponding to those least involved in the interactions stabilizing them81,82,83.

    To assign the NMR signals to specific residues, we progressively added urea and observed that at 1.5–2 M, the urea concentration necessary to dissociate the multimers, the signals of most residues could be detected (Extended Data Fig. 3h,i and Supplementary Fig. 5b) and stemmed from a species with the diffusion coefficient expected for a nCPEB4(NTD) monomer (Supplementary Fig. 5g). A comparison of the spectra obtained in the absence and presence of denaturant revealed that the signals observed for the multimer corresponded to residues between positions approximately 50 and 150 in the sequence of nCPEB4(NTD): this region of sequence is devoid of aromatic and positively charged residues and instead rich in negatively charged ones (Extended Data Fig. 3h,j). Despite the presence of 4 M urea, the spectrum of monomeric nCPEB4(NTD) had a wide range of intensities. An analysis of signal intensity as a function of residue type revealed particularly low values for histidine and arginine (Extended Data Fig. 3k), which suggested that these residue types are involved in transient interactions and explain the very low signal intensity of the histidine-rich HClust (residues 229–252) and the arginine-rich me4 (residues 403–410) (Extended Data Fig. 3h).

    To facilitate the interpretation of these results, we monitored the formation of nCPEB4(NTD) multimers in molecular simulations performed using the CALVADOS model22,23. Contacts calculated between a chain in the centre of the multimer and the surrounding chains in assemblies of 130–170 chains showed that the C-terminal region, including HClust and me4, is more involved in intermolecular interactions than the N-terminal region rich in aspartate and glutamate residues (positions 72–147) (Extended Data Fig. 3l). The simulations therefore support the conclusion that the decreased NMR signal intensity in the C-terminal region reflects an increased number of contacts of these residues within the condensates. Finally, to further characterize the interactions stabilizing the multimers, we performed 1H,13C-HSQC experiments to analyse the intensity of side-chain signals without urea, when nCPEB4(NTD) is multimeric, and in 4 M urea, when nCPEB4(NTD) is instead monomeric (Extended Data Fig. 3m and Supplementary Fig. 5h–j). We observed that the intensities, especially those of the signals corresponding to histidine, tryptophan and arginine residues, are lower for the former than for the latter. We also performed 1H,15N-CP-HISQC experiments to study the arginine side-chain NH signals in the same samples and found that they are undetectable in the absence of the denaturant but can be observed in its presence (Supplementary Fig. 5k). Taken together, our results indicate that the multimers formed by nCPEB4(NTD) on the condensation pathway are stabilized mainly by interactions involving histidine and arginine residues, which are predominantly located in the C-terminal region (Supplementary Fig. 5l).

    Protein sequence analysis

    Cprofiler (http://www.cprofiler.org/) was used to determine the enrichment score of each amino acid type in the protein sequence compared with the DisProt3.4 database84,85. The protein sequences analysed correspond to residues 1–448 for nCPEB4(NTD) (UniProt identifier Q17RY0-2), residues 1–311 for CPEB2(NTD) (UniProt identifier Q7Z5Q1-3) and residues 1–452 for CPEB3(NTD) (UniProt identifier Q7TN99-1).

    Reporting summary

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

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  • Autistic people three times more likely to develop Parkinson’s-like symptoms

    Autistic people three times more likely to develop Parkinson’s-like symptoms

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    A carer helps a patient in Swiss day-care centre for people suffering from Parkinson's disease.

    A carer helps a patient in a Swiss day-care centre for people suffering from Parkinson’s disease.Credit: Amelie-Benoist/BSIP/Science Photo Library

    A study of quarter of a million people with autism, intellectual disabilities or both has found that their risk of developing symptoms associated with Parkinson’s disease is three times that in the general population.

    The study is the largest of its kind, and warrants further investigation into the links between these conditions, researchers say. The findings were presented at the annual meeting of the International Society for Autism Research in Melbourne, Australia, on 16 May, and have not yet been peer reviewed.

    The results are “a big deal as we think about planning and what we should be screening or looking for as autistic people age”, says study co-author Gregory Wallace, a developmental neuropsychologist at George Washington University in Washington DC.

    Robert Hendren, a psychiatrist at the University of California, San Francisco, agrees. “The better prepared people can be, then the better chance there is of minimizing the effects, or maybe even eliminating them,” he says.

    Changing understanding

    There have been few studies on health effects experienced by autistic adults as they age. When autism was first described1 in the 1940s, “it was seen as a disorder of infants”, says Joseph Piven, a psychiatrist at the University of North Carolina at Chapel Hill.

    Autism did not become a distinct diagnosis until the 1970s, and the criteria for characterizing it have been changed several times since then. These changes — in addition to the difficulty of recruiting ageing participants into studies — have made it difficult to follow individuals over long term, Wallace says.

    “Part of the reason we know so little about this, and why this is in its infancy, is because we know so little more broadly about ageing and autism,” says Wallace.

    Previous studies have suggested that autistic people have disproportionately high rates of parkinsonism — symptoms common in Parkinson’s disease, including tremors, sudden freezing while walking and difficulty holding a posture — compared with the general population. One of the first studies to investigate this, published in 2015 by Piven and his colleagues2, looked at 37 adults with autism and found that 12 had parkinsonism. But small sample sizes have undermined the reliability of findings.

    “Many autistic people, when they’re younger, have motoric symptoms, or issues with motor functioning,” says Wallace. “We want to figure out if it is a parkinsonism, a broader array of these motoric features, or is it a neurodegenerative process,” he adds.

    Genetic studies have also found that autism is linked to mutations in the PARK2 gene, which is also associated with Parkinson’s disease3.

    Wallace and his collaborators reviewed three years’ worth of medical records (spanning 2014–2016) for 247,539 people in the United States aged 45 and older. Of these, 23,686 had autism; 223,853 were not autistic but had an intellectual disability; and 13,302 had both.

    The records showed diagnoses of parkinsonism in 5.98% of the autistic people who had no intellectual disability, 6.01% of people who had an intellectual disability but were not autistic and 7.31% of those with both conditions. Everyone diagnosed with parkinsonism was more than 55 years old.

    These rates are much higher than in the general population, where between 0.11% and 1.85% of people in the same age group have Parkinson’s-like symptoms.

    Hidden factors

    Parkinsonism could be linked to autism and intellectual disabilities by an as-yet unidentified facet of brain health or development, researchers say. The link could even be affected by medications. Studies in the United States report4 that 20–34% of children with autism are prescribed antipsychotic drugs to reduce behaviours considered ‘challenging’, such as irritability, aggression, self-injury and social withdrawal. Some antipsychotic drugs are known to cause parkinsonism as a side effect.

    In a follow-up analysis also presented at the meeting, Wallace and his collaborators excluded people who had taken parkinsonism-inducing drugs during the study window. Their findings, seen by Nature, suggest that the rates of parkinsonism were still elevated even in this restricted group.

    Researchers say future studies should look at the age of onset of parkinsonism to determine whether autistic people and those with intellectual disabilities experience the symptoms earlier than those in the general population.

    “Critically, for us to understand if it’s neurodegenerative, we need to follow people over time,” says Wallace.

    “We need to think about how to treat it,” says Piven. “We need to think about screening people with autism for parkinsonian features.” Hendren agrees. “It’s going to be a complex picture,” he says. “And we need to do it all together.”

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  • Targeting RNA opens therapeutic avenues for Timothy syndrome

    Targeting RNA opens therapeutic avenues for Timothy syndrome

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    Nature, Published online: 24 April 2024; doi:10.1038/d41586-024-00911-1

    A therapeutic strategy that alters gene expression in a rare and severe neurodevelopmental condition has been tested in stem-cell-based models of the disease, and has been shown to correct genetic and cellular defects.

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  • Antisense oligonucleotide therapeutic approach for Timothy syndrome

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    Culture of hiPS and HEK293T cells

    The hiPS cells in this study were previously described and validated2,3. A total of six hiPS cell lines were derived from fibroblasts collected from three healthy individuals and three with TS. Approval for this study was obtained from the Stanford IRB panel, and informed consent was obtained from all participants. The isogenic TS1 (G406R) line was derived in the KOLF2.1 hiPS cell line via nucleofection using the guide RNA-targeting GGTGTGCTTAGCGG and the homologous repair template ssODN, aggaatagcagaaagaataaataaaaataaatggaaaaatcaagacctttttccttggtcctgcttacCTGCTAAGCACACCGAGAACCAAGTTAAGTAC33. The CW30293 hiPS cell line was obtained from CIRM. The presence of the heterozygous mutation was confirmed by Sanger sequencing. hiPS cells were cultured in feeder-free essential 8 medium (E8, Thermo Fisher Scientific, catalogue no. A1517001) without antibiotics and kept in the wells of six-well plates (Corning, catalogue no. 3506) coated for 1 h at room temperature with vitronectin recombinant human protein (VTN-N, Thermo Fisher Scientific, no. A14700) diluted 1:100 to a final concentration of 5 ng ml−1 in Dulbecco’s PBS (DPBS), with neither calcium nor magnesium (Thermo Fisher Scientific, catalogue no. 14190136). To facilitate passaging, hiPS cells were first washed with DPBS and then incubated with 0.5 mM EDTA (Invitrogen, catalogue no. 15575020) in DPBS at room temperature for 7 min. Following removal of EDTA solution, cells were seeded in fresh wells of six-well plates coated with VTN-N and containing E8 medium. The hiPS cells used in this study were maintained free of Mycoplasma at 37 °C in a humidified-air atmosphere with 5% CO2. The lenti-X 293T cell line, a subclone of HEK293T cells, was obtained from Takara Bio (catalogue no. 632180) and cultured in DMEM (Gibco, catalogue no. 10313021) supplemented with 10% fetal bovine serum (Corning, catalogue no. 35016CV) and 1× GlutaMAX (Thermo Fisher Scientific, catalogue no. 35050061). This cell line was chosen because it is compatible with robust plasmid overexpression.

    Generation of hCO and hSO from hiPS cells

    The generation of hCO, hSO and hFA was performed as previously described3,34,35. In brief, hiPS cells were incubated with Accutase (Innovate Cell Technologies, no. AT-104) at 37 °C for 7–8 min and dissociated into single hiPS cells. Single-cell suspensions were collected in a 50 ml Falcon tube and cell pellets obtained via centrifugation at 300g for 3 min. Cell numbers were counted following resuspension of cell pellets. Approximately 3 × 106 cells in 2 ml of E8 medium supplemented with ROCK inhibitor Y-27632 (10 μM, Selleckchem, catalogue no. S1049) were added per well of an AggreWell 800 plate (STEMCELL Technologies, catalogue no. 34815). The plates were then centrifuged at 100g for 3 min to allow cells to sink to the bottom of the wells (day 0). Twenty-four hours following cell aggregation (day 1), spheroids were dislodged by pipetting (with a P1000 tip cut at the end) and transferred to ultralow-attachment plastic dishes (Corning, no. 3262) in essential 6 medium (E6, Life Technologies, no. A1516401) supplemented with 2.5 μM dorsomorphin (Sigma-Aldrich, catalogue no. P5499) and 10 μM SB-431542 (Tocris, catalogue no. 1614). From days 2 to 6, E6 medium was changed daily and supplemented with dorsomorphin and SB-431542. In addition the Wnt pathway inhibitor XAV-939 (XAV, 1.25 μM, Tocris, catalogue no. 3748) was added, together with dorsomorphin and SB-431542. On the seventh day in suspension, basal medium was switched to neural medium consisting of Neurobasal A (Life Technologies, catalogue no. 10888), B-27 supplement without vitamin A (B-27, Life Technologies, catalogue no. 12587), GlutaMAX (1:100, Life Technologies, catalogue no. 35050) and 10 U ml−1 penicillin-streptomycin (Gibco, catalogue no. 15140122). From days 6 to 24 the neural medium was supplemented with 20 ng ml1 epidermal growth factor (EGF, R&D Systems, catalogue no. 236-EG) and 20 ng ml−1 basic fibroblast growth factor (FGF, R&D Systems, catalogue no. 233-FB) for 19 days (until day 24), with medium changed daily from days 7–18 and every other day until day 24. From days 25–42 the neural medium contained 20 ng ml−1 brain-derived neurotrophic factor (Peprotech, catalogue no. 450-02) and 20 ng ml−1 NT3 (Peprotech, catalogue no. 450-03), with medium change every other day. From day 43, hCO were cultured with only neural medium without growth factors. The generation of hSO differs from that of hCO in that, from days 7–12, the neural medium was supplemented with XAV (1.25 μM) in addition to EGF and FGF; from days 13–24 the neural medium was supplemented with XAV (1.25 μM) and SAG (100 nM, EMD Millipore, catalogue no. 566660) in addition to EGF and FGF.

    ASOs

    ASOs were 20-nt-long synthesized using the phosphorothioate backbone and with a MOE modification. 5-Methylcytosine was used during synthesis rather than cytosine. ASOs tested on hiPS cell-derived forebrain organoids were purified by standard desalting followed by Na+ salt exchange. These ASOs were reconstituted in nuclease-free water at a concentration of 1 mM and stored at −20 °C thereafter for in vitro experiments. For in vivo injection, ASO.14 was reconstituted at a concentration of 10 μg μl−1 in DPBS for injection of 30 μl of 300 μg ASO into rat cisterna magna. All ASOs used in this study were manufactured by Integrated DNA Technologies. Cy5-labelled ASOs were synthesized by the addition of Cy5 to the 5′ of the ASO (Integrated DNA Technologies) followed by HPLC purification and Na+ salt exchange.

    Recombinant DNA and viruses

    pDup4-1 was obtained from Addgene (plasmid no. 23022) and was used as the backbone for the minigene splicing reporter. pDup4-1 was digested with ApaI and BglII (New England Biolabs) and the resulting 4,595 bp fragment was purified following loading on a 1% agarose gel using the QIAquick PCR Purification Kit (Qiagen, catalogue no. 28106). Genomic DNA from TS hiPS cells was purified with the DNeasy Blood & Tissue Kit (Qiagen, catalogue no. 69506). Amplicons encompassing exons 8 and 8A of CACNA1C were amplified with GoTaq Long PCR Master Mix (Promega, catalogue no. M4021). Primer sequences and cycling conditions are listed in Supplementary Tables 1 and 2. Purified PCR products were digested with ApaI and BglII. Following one further round of purification, DNA was dephosphorylated with FastAP thermosensitive alkaline phosphatase (Thermo Fisher Scientific, catalogue no. EF0654) then ligated to the pDup4-1 backbone using T4 DNA ligase (Thermo Fisher Scientific, catalogue no. EL0011). Following transformation (One Shot Stbl3 Chemically Competent E. coli, Thermo Fisher Scientific, catalogue no. C737303), colonies were picked for sequence verification. The human PTBP1 ORF plasmid was obtained from Genscript (clone ID OHu15891D, accession no. NM_002819.5). Plasmids encoding WT and TS CaV1.2 were synthesized by VectorBuilder based on transcript ENST00000399655.6 under a CAG promoter into a lentivirus backbone. An HA tag was placed in between Q683 and T684. The GCaMP plasmid was obtained from Addgene (plasmid no. 111543). Plasmids encoding the β1b and a2δ subunits of the L-type calcium channel were described previously5. The maps and sequences of minigene splicing reporters and human CaV1.2 expression plasmids are included in Supplementary Figs. 3–6 (generated by SnapGene 5.1.4.1, SnapGene software from Dotmatics).

    RNA extraction and qPCR

    For all samples, RNA was extracted using the RNeasy Plus Mini Kit (Qiagen, catalogue no. 74136). Unless otherwise noted, reverse transcription was performed using the SuperScript III First-Strand Synthesis SuperMix for qRT-PCR (Invitrogen, catalogue no. 11752050) according to the manufacturer’s instructions. qPCR was performed on a QuantStudio 6 Flex Real-Time PCR system (Thermo Fisher Scientific, catalogue no. 4485689) using SYBR Green PCR Master Mix (Thermo Fisher Scientific, catalogue no. 4312704). Primers for qPCR are listed in Supplementary Tables 1 and 2.

    Transcript analysis of CACNA1C exons 8 and 8A

    Restriction fragment-length polymorphism analysis of CACNA1C exons 8 and 8A was performed on PCR fragments amplified from cDNA. DNA was purified using AMPure XP beads (Beckman Coulter, catalogue no. A63881) according to the manufacturer’s instructions. Purified DNA was digested with BamHI (Thermo Fisher Scientific, catalogue no.ER0055) at 37 °C for 3 h and loaded on 2% agarose gel. Gel images were taken on a Gel Doc XR+ imager (Bio-Rad, catalogue no. 1708195). For next-generation sequencing analysis of transcripts, primers with the Illumina adaptor were used to amplify the region encompassing exons 7–9. Following bead purification, DNA was eluted in water and sent for sequencing using the Genewiz Amplicon-EZ module. Next-generation sequencing analysis of the minigene splicing reporter was performed similarly by amplifying minigene transcripts from the cDNA of transfected HEK cells 3 days post transfection. Primers and cycling conditions are listed in Supplementary Tables 1 and 2.

    Transfection of HEK cells

    Approximately 30,000–75,000 HEK cells were seeded per well of a 24-well plate (Corning, catalogue no. 353047). The following day, plasmids were mixed with 1 mg ml−1 PEI MAX (Polysciences, catalogue no. 24765-1) in 50 μl of a 150 mM NaCl solution. Following about 10 s of vigorous vortexing, plasmid mixtures were incubated for 15 min at room temperature and then added to the wells (Supplementary Tables 3–5).

    Dissociation for monolayer culture

    Dissociation of hCO for monolayer culture was performed as previously described, with minor optimizations4. Coverslips were coated with approximately 0.001875% polyethylenimine (PEI, Sigma-Aldrich, catalogue no. 03880) for 1 h at 37 °C, washed four times with water and dried. On the day of dissociation, betweeen four and six hCO per hiPS cell line were transferred to wells in six-well plates (Corning, catalogue no. 3506) and incubated for 45–60 min at 37 °C with 3 ml of enzymatic dissociation solution. This solution consisted of 30 U ml−1 papain (Worthington Biochemical, catalogue no. LS003127), 1× EBSS (Millipore Sigma, catalogue no. E7150), 0.46% d(+)-glucose, 0.5 mM EDTA, 26 mM NaHCO3, 10 μM Y-27632, 125 U ml−1 deoxyribonuclease I (Worthington Biochemical, catalogue no. LS002007) and 6.1 mM l-cysteine (Millipore Sigma, catalogue no. C7880). Following papain incubation, samples were collected in a 15 ml Falcon tube and centrifuged at 1,200 rpm for 1 min. Following removal of the supernatant, samples were washed with 1 ml of inhibitor solution with 2% trypsin inhibitor (Worthington Biochemical, catalogue no.LS00308) and resuspended in 1 ml of the same solution for trituration. Following trituration, 1 ml of inhibitor solution with 4% trypsin inhibitor was added slowly beneath the cell suspension to create a gradient layer; the gradient solution was then centrifuged at 1,200 rpm for 5 min. Cell pellets were resuspended in culture medium consisting of Neurobasal A supplemented with B-27 and 10 μM Y-27632. Undissociated tissue was removed by passing the cell suspension through a 40 μm cell strainer (Corning, catalogue no. 352340). Finally, dissociated cells were seeded on the coverslip at a density of 50,000 cells per coverslip in 1 ml of culture medium. The inhibitor solution differs from the enzyme solution in that it contains neither papain nor EDTA. All centrifugation steps were performed at room temperature.

    Calcium imaging

    Fura-2 calcium imaging on monolayer hCO cells was performed as previously described26. In brief, cells were loaded with 1 mM Fura-2 acetoxymethyl ester (Fura-2 AM, Invitrogen, no. F1221) for 30 min at 37 °C in NM medium, washed with NM medium for 5 min and then transferred to a perfusion chamber (RC-20, Warner instruments) in low-potassium Tyrode’s solution (5 mM KCl, 129 mM NaCl, 2 mM CaCl2, 1 mM MgCl2, 30 mM glucose, 25 mM HEPES pH 7.4) on the stage of an inverted fluorescence microscope (Eclipse TE2000U, Nikon). Following 0.5 min of baseline imaging, high-potassium Tyrode’s solution was perfused for 1 min. Imaging was performed at room temperature (25 °C) on an epifluorescence microscope equipped with an excitation filter wheel and an automated stage. Openlab software (PerkinElmer) and IGOR Pro (v.5.1, WaveMetrics) were used to collect and quantify time-lapse excitation 340:380-nm-ratio images at an imaging rate of approximately 1 Hz, as previously described20. Residual calcium was calculated as (C − A)/(B − A), where A is the baseline value (fifth frame), B is the peak value following depolarization (manually determined) and C is the decay value (B + 25th frame).

    For GCaMP imaging, HEK293T cells were seeded in 24-well plates. The following day, cells were transfected with a mixture of plasmids including subunits CaV1.2 β1b, α2δ and α1 and GCaMP6-X (Supplementary Table 3). Three days post transfection, imaging was performed with an SP8 confocal microscope (Leica Microsystems) at a frame interval of 1.2875 s. Before imaging, cell culture medium was replaced with 500 μl of 5 mM Tyrode’s solution. Following 30 s of baseline imaging, 500 μl of 129 mM Tyrode’s solution (final concentration 67 mM KCl) was added.

    Similarly, for GCaMP imaging in two-dimensional neurons, TS and WT hCO were dissociated into 24-well imaging plates (Cellvis P24-0-N) and infected with AAV-DJ-hSYN1::GCaMP6f (Gene Vector and Virus Core, Wu Tsai Neurosciences Institute, Stanford University). Various concentrations of ASOs (ASO.14, ASO.17, ASO.18 and ASO.Scr) were applied to dissociated neurons. After 10 days, GCaMP imaging was carried out with an SP8 confocal microscope using the 20× objective at 1.2875 s per frame). Before imaging, culture medium was replaced with 500 μl of 5 mM Tyrode’s solution. Following 30 s of baseline imaging, 500 μl of 129 mM Tyrode’s solution (final concentration 67 mM KCl) was added. Imaging was acquired over a total time of 8 min.

    For GCaMP imaging analysis of HEK293T cells, regions of interest (ROIs) corresponding to cell somas were identified semiautomatically using a custom-written ImageJ segmentation macro. ROIs were detected in the frame following depolarization (fifth or sixth frame following KCl administration) by applying a mask, watershedding and using the ‘Analyze particles’ function (size 10–1,000, circularity 0.4–1.0). A minority of ROIs were manually excluded due to either cell drift, off-target detection of background or detection of more than a single soma within the same ROI. For GCaMP analysis in neurons, ROIs corresponding to cell somas were manually annotated. Downstream analyses for both HEK293T cells and neurons were performed using custom-written R codes. Mean grey values were transformed to relative changes in fluorescence: dF/F(t) = (F(t) − F0)/F0, where F0 represents average grey values of the time series of each ROI. Cells were excluded if their amplitude was lower than the baseline mean or more than 20× baseline mean. Residual calcium values were calculated as described above, with B representing peak value, A baseline value (20 frames upstream of the peak-value frame) and C decay value (200 frames after the peak-value frame). Extreme residual calcium values (lower than −5 or higher than +5) were excluded.

    Patch-clamp recordings

    Patch-clamp recordings were performed on cortical neurons dissociated from hCO, as previously described4. hCO were dissociated at days 100–150. A few days following dissociation, cells were infected with AAV-DJ-SYN1::eYFP and 1 μM ASO was added 1 week following dissociation. Recordings were typically made around 3–4 weeks following dissociation. Cells were identified as eYFP+ with an upright slice scope microscope (Scientifica) equipped with an Infinity2 CCD camera and Infinity Capture software (Teledyne Lumenera). Recordings were performed with borosilicate glass electrodes with a resistance of 7–10 MΩ. For barium current recordings the external solution contained 100 mM NaCl, 3 mM KCl, 2 mM MgCl2, 20 mM BaCl2, 25 mM TEA-Cl, 4 mM 4-AP, 10 mM HEPES and 20 mM glucose pH 7.4, with NaOH and 300 mOsm. The internal solution contained 110 mM CsMethylSO3, 30 mM TEA-Cl, 10 mM EGTA, 4 mM MgATP, 0.3 mM Na2GTP, 10 mM HEPES and 5 mM QX314-Cl pH 7.2, with CsOH and 290 mOsm. Data were acquired with a MultiClamp 700B Amplifier (Molecular Devices) and a Digidata 1550B Digitizer (Molecular Devices), low-pass filtered at 2 kHz, digitized at 20 kHz and analysed with pCLAMP (v.10.6, Molecular Devices). Cells were subjected to −10 mV hyperpolarization (100 ms) every 10 s to monitor input and access resistance. Cells were excluded for analysis if they showed a change of over 30%. Liquid junction potential was not corrected in this study.

    For barium current recordings, cells were recorded in the presence of tetrodotoxin (TTX) (0.5 μM) to block sodium currents and were held at −70 mV in voltage-clamp and depolarizing voltage steps (5 s for the majority of cells, from −70 to +20 mV) in increments of 5 mV. Inactivation of barium current was calculated from cells subjected to 5 s or 2–3-s depolarization steps at 2 s under maximal current (−20 to 0 mV for the majority). For some cells, recordings with a prestep of −110 mV (or −100 mV) hyperpolarization were also included for inactivation at 2 s. Leak subtraction was used to minimize the artefact of membrane resistance in MultiClamp 700B. IV curves were fitted in Origin (OriginPro 2021b, OriginLab) with a Boltzmann exponential function: I = Gmax × (V − EBa)/{1 + exp[(V0.5 − V)/K]}, where Gmax is the maximal conductance of calcium channels, EBa is the reversal potential of barium estimated by the curve-fitting programme, V0.5 is the potential for half-maximal, steady-state activation of barium current and K is a voltage-dependent slope factor.

    For voltage-dependent barium current inactivation, cells were held at −70 mV. A series of prepulse voltage steps (3 s) were administered, from −110 or −100 to +40 mV, in increments of 10 mV. Testing of the voltage step (−10 or 0 mV, where maximal current was recorded) was then carried out for a further 1–3 s. Barium current inactivation was calculated as relative current normalized to current amplitude from the first test pulse. Voltage-dependent inactivation curves were fitted with exponential functions in Origin.

    Immunostaining

    Dissociated cells from TS hCO at 100–120 days of differentiation were plated on precoated coverslips and placed in wells of a 12-well plate; different concentrations of Cy5-ASO.14 were then added. After 3 days the coverslips were first fixed for 10 min at room temperature with a solution containing one volume each of culture medium and fixation buffer comprising 4% paraformaldehyde (PFA) and 4% sucrose in DPBS. Next, two volumes of fixation buffer were added for an extra 20 min to finalize the fixation step. Following two rounds of washing with DPBS, coverslips were incubated for 1 h with blocking buffer consisting of 0.3% Triton X-100 and 10% normal donkey serum prepared with PBS. Following removal of the blocking buffer, primary antibodies were added for overnight incubation at 4 °C. Antibodies CTIP2 (abcam, catalogue no. ab18465) and SATB2 (abcam, catalogue no. ab51502) were diluted in blocking buffer at 1:300. Coverslips were washed twice with DPBS then incubated with secondary antibody (1:1,000 in blocking buffer; donkey anti-rat Alexa 488, Thermo Fisher Scientific, catalogue no. A-21208; and donkey anti-mouse Alexa 568, Thermo Fisher Scientific, catalogue no. A10037) at room temperature for 1 h. Following a further two rounds of washing with DPBS, Hoechst 33258 (Thermo Fisher Scientific, catalogue no. H3569) was added to coverslips for 10 min followed by a final round of washing with DPBS. Finally, coverslips were mounted on slides (Fisherbrand Superfrost Plus Microscope Slides, Fisher Scientific, catalogue no. 12-550-15) using Aqua-Poly/Mount (Polysciences, catalogue no. 18606). Images were acquired with a confocal SP8 (Leica Microsystems) using a 20× objective.

    The TUNEL assay was performed using the in situ cell death detection kit (Roche, catalogue no. 12156792910). In brief, hCO were dissociated and exposed to either 1 μM ASO or scrambled control for 48 h. Cells were then fixed in 4% PFA, permeabilized in Triton X-100 and incubated with TUNEL reaction solution for 1 h at 37 °C. Samples pretreated with DNase1 for 10 min were used as positive control. Following rinsing and counterstaining with Hoechst, coverslips were imaged with a Stellaris microscope using the 20× objective. Images were stitched in Fiji and a custom macro was used to split channels, set thresholds for detection of nuclei via Hoechst and determine Cy3+ nuclei via thresholds set blindly on control samples.

    For c-Cas3, immunostaining was performed as for Cy5 samples except that rabbit anti-c-Cas3 (Asp175) (1:300, CST, catalogue no. 9661S) and mouse anti-MAP2 antibody (1:100, Sigma-Aldrich, catalogue no. M4403) were used as primary antibodies and donkey anti-rabbit 568 (1:1,000, Thermo Fisher Scientific, catalogue no. A10042) and donkey anti-mouse Alexa:568 (1:1,000, Thermofisher Scientific, catalogue no. A10037) as secondary antibodies. Coverslips were imaged with a confocal SP8 microscope using the 40× objective. Three to four fields were acquired per coverslip. Images were analysed using Fiji with maximal projection, standardized thresholding and circularization to identify cells (via Hoechst nuclear staining) and then c-Cas3+ cells (via Cas3 staining).

    For staining of t-hCO, following slicing of fresh rat brain containing t-hCO, slices were postfixed in 4% PFA overnight at 4 °C and then washed three times with PBS. Next, slices were incubated with blocking buffer at room temperature for 1 h with 10% normal donkey serum and 0.3% (vol/vol) Triton X-100 in DPBS then incubated with primary antibody diluted in blocking buffer overnight at 4 °C (anti-HNA, mouse, 1:200, abcam, catalogue no. ab191181). Washing steps, staining with secondary antibody and staining of nuclei are described above.

    Flow cytometry

    TS hCO were incubated with 1 μM Cy5.ASO.14 in wells of 24-well, ultralow-attachment plate (Corning, catalogue no. 3473) for 2 days. hCO were then dissociated and resuspended in 200 μl of staining buffer containing 3% bovine serum albumin and 0.5 mM EDTA. Cells were incubated either with or without PE Mouse Anti-Human CD90 (BD Biosciences, catalogue no. 555596, dilution 1:100) for 30 min at 4 °C. Next, three rounds of washing steps were performed using the staining buffer and cells were resuspended in 200 μl of staining buffer and passed through a 40 μm cell strainer. Non-treated hCO not stained with CD90 served as a control for setting up the gate during cell acquisition. G575 and R670 were used for measurement of PE and Cy5 signal, respectively. Flow cytometry was performed on a BD Aria cell sorter at the Stanford Shared FACS Facility according to the Facility’s calibration instructions. Data were processed using FlowJo 10.7.1 software (BD).

    Immunoblot for measurement of CaV1.2 protein level

    hCO derived from control and TS iPS cell lines were aliquoted to wells of a 24-well, ultralow-attachment plate (Corning, catalogue no. 3473). Each well contained two or three hCO cultured in 2 ml of neural medium, followed by the addition of 1 μM ASO. Medium was 50% replaced following 3 days of ASO exposure and samples collected following 7 days of ASO exposure. Protein lysates for hCO were prepared using the RIPA buffer system (Santa Cruz, catalogue no. sc-24948). Protein lysates of t-hCO were prepared by the brief addition of 50 µl of SDS Buffer (1.5% SDS, 25 mM Tris pH 7.5) in a 1.5 ml tube followed by sonication (Qsonica Q500 sonicator; pulse 3 s on, 3 s off, amplitude 20%). Protein concentrations were quantified using the bicinchoninic acid assay (Pierce, ThermoFisher, catalogue no. 23225): 20 μg of protein per sample per lane was loaded and run on a 4–12% Bis-Tris PAGE gel (Bolt 4–12% Bis-Tris Protein Gel, Invitrogen, no. NW04122BOX) and transferred to a polyvinylidene difluoride membrane (Immobulin-FL, EMD Millipore, catalogue no. IPFL00010). Membranes were blocked with 5% bovine serum albumin in Tris buffered saline with Tween (TBS-T) for 1 h at room temperature and incubated overnight with primary antibodies against GAPDH (mouse, 1:5,000, GeneTex, catalogue no. GTX627408) and CaV1.2 (rabbit, 1:1,000, Alamone labs, catalogue no. ACC-003) for 48 h for hCO samples, and for 96 h for transplanted samples, at 4 °C. Membranes were washed three times with TBS-T and then incubated with near-infrared fluorophore-conjugated species-specific secondary antibodies—either goat anti-mouse IgG polyclonal antibody (IRDye 680RD, 1:10,000, LI-COR Biosciences, catalogue no. 926–68070) or goat anti-rabbit IgG polyclonal antibody (IRDye 800CW, 1:10,000, LI-COR Biosciences, catalogue no. 926–32211), for 1 h at room temperature. Following the application of secondary antibody, membranes were washed three times with TBS-T, once with TBS and then imaged using a LI-COR Odyssey CLx imaging system (LI-COR).

    TLR9 assay for ASO toxicity

    We used the human TLR9 reporter assay (Invivogen, catalogue no. hkb-htlr9) according to the manufacturer’s instructions. In brief, modified HEK293T cells were grown on 100 mm cell culture plates to 50–80% confluency. They were then detached in PBS, resuspended at 450,000 cells ml−1 in HEKBlue solution and replated into a 96-well plate. Positive controls were exposed to ODN2006 (Invivogen, catalogue no. tlrl-2006), and negative controls to sterile water; other samples were exposed to 1 μM ASO for 16–24 h. Following exposure, TLR9 activation was detected by spectrophotometer (620–655 nm absorption) using a monochromator plate reader (Tecan, Infinite M1000) and XFluor 2.0 software.

    Interneuron migration and imaging analysis

    Following 45–50 days of differentiation, hSO were incubated overnight with LV.Dlxi1/2b::eGFP lentiviral particles in an Eppendorf tube and transferred to a 24-well plate. After 3–7 days, hSO were coincubated with an hCO in an Eppendorf tube supplemented with 1 ml of medium to generate hFA, which were then cultured in a single well of an ultralow-attachment 24-well plate (Corning). Baseline imaging of interneuron migration was taken around 3–4 weeks following the formation of hFA. Next, 1 μM ASO was added to hFA followed by reimaging 2 weeks later. All imaging was taken over a period of 20 min for 12–15 h inside a confocal chamber at 37 °C in a humidified-air atmosphere with 5% CO2. Quantification of saltation length and frequency was performed as previously described3. Only mobile cells were included for analysis. ImageJ was used for analysis of interneuron migration. In cases where hFA moved during imaging, linear stack alignment with SIFT was used to correct minor shifts. To estimate the distance of individual saltations, Dlxi1/2b::eGFP cells showing a swelling of the soma were identified and distance (in μm) to the new position of the soma following nucleokinesis was recorded manually. The time necessary for this movement was used to calculate the speed when mobile. Typically, only cells showing two or more saltation movements were included.

    Transplantation into athymic newborn rats

    Animal procedures were performed following animal care guidelines approved by Stanford University’s Administrative Panel on Laboratory Animal Care (APLAC). Pregnant RNU euthymic (rnu/+) rats were either purchased (Charles River Laboratories) or bred in house. Animals were maintained under a 12/12 h light/dark cycle and provided food and water ad libitum. Three-to-seven-day-old athymic (FOXN1−/−) rat pups were identified by immature whisker growth before culling. Pups (both male and female) were anaesthetized with 2–3% isoflurane and mounted on a stereotaxic frame. A craniotomy, of about 2–3 mm in diameter, was performed above S1, preserving the dura intact. Next, the dura mater was punctured using a 30-G needle (approximately 0.3 mm) close to the lateral side of the craniotomy. A hCO was next moved onto a thin, 3 × 3 cm parafilm and excess medium removed. Using a Hamilton syringe connected to a 23-G, 45° needle, the hCO was gently pulled into the distal tip of the needle. The syringe was next mounted on a syringe pump connected to the stereotaxic device. The sharp tip of the needle was positioned above the 0.3-mm-wide prefabricated puncture in the dura mater (z = 0 mm) and the syringe was reduced by 1–2 mm (z = approximately −1.5 mm) until a tight seal between needle and dura mater had formed. Next, the syringe was elevated to the centre of the cortical surface at z = −0.5 mm and the hCO ejected at a speed of 1–2 μl min−1. Following completion of hCo injection, the needle was retracted at a rate of 0.2–0.5 mm min−1, the skin was closed and the pup immediately placed on a warm heat pad until complete recovery.

    MRI of transplanted rats

    All animal procedures followed animal care guidelines approved by Stanford University’s APLAC. Rats (more than 60 days post transplantation) were anaesthetized with 5% isoflurane for induction and 1–3% isoflurane during imaging. For imaging, an actively shielded Bruker 7 Tesla horizontal bore scanner (Bruker Corp.) with International Electric Company gradient drivers, a 120-mm-inner-diameter shielded gradient insert (600 mT m−1, 1,000 T m−1 s−1), AVANCE III electronics, eight-channel multicoil radiofrequency and multinuclear capabilities, and the supporting Paravision 6.0.1 platform, were used. Acquisitions were performed with an 86-mm-inner-diameter actively decouplable volume radiofrequency coil with a four-channel, cryocooled, receive-only radiofrequency coil. Axial two-dimensional Turbo-RARE (TR 2,500 ms, TE 33 ms, two averages) 16-slice acquisitions were performed at 0.6–0.8 mm slice thickness with samples of approximately 256 Å. Signal was received by a 2-cm-inner-diameter quadrature transmit–receive volume radiofrequency coil (Rapid MR International). Successful transplantations were defined as those resulting in a continuous area of T2-weighted MRI signal in the transplanted hemisphere.

    ASO injection into rat cisterna magna

    Rats were anaesthetized with 5% isoflurane for induction and 2–3% isoflurane during ASO injection through the cisterna magna. Animals were placed in the prone position with a small paper roll under the neck to tilt the head downwards. The neck was shaved and wiped clean with ethanol. To target the cisterna magna the foramen magnum was determined by touch and a 27-G needle attached to a syringe (BD, catalogue no. 305620) filled with 300 μg of ASO was percutaneously inserted into the cisterna magna perpendicularly to the neck. The needle was held with the bevel face upwards and 30 μl of ASO was slowly injected into the cisterna magna. The procedure took less than 2 min per rat. Animals recovered from anaesthesia within 10 min of isoflurane induction. ASO injections were performed in rats with t-hCO at 162–258 days and were not blinded. Sample sizes were estimated empirically.

    Processing of ASO-injected rats

    Rats were anaesthetized with isoflurane and brain tissue was removed and placed in cold (approximately 4 °C), oxygenated (95% O2 and 5% CO2) sucrose slicing solution containing 234 mM sucrose, 11 mM glucose, 26 mM NaHCO3, 2.5 mM KCl, 1.25 mM NaH2PO4, 10 mM MgSO4 and 0.5 mM CaCl2 (approximately 310 mOsm). Coronal rat brain slices (300–400 μm) containing t-hCO were sectioned using a Leica VT1200 vibratome as previously described3. t-hCO sections were then moved to a continuously oxygenated slice chamber, at room temperature, which contained aCSF (10 mM glucose, 26 mM NaHCO3, 2.5 mM KCl, 1.25 mM NaHPO4, 1 mM MgSO4, 2 mM CaCl2 and 126 mM NaCl (298 mOsm)).

    Calcium imaging in t-hCO from rats receiving ASO injection

    Following dissection and sectioning of rat brains with t-hCO, slices were incubated with Calbryte 520 AM (AAT Bioquest, catalogue no. 20650) in 1:1 of NPC medium and PBS for 45–60 min at 37 °C. Slices were then transferred to a 24-well imaging plate containing 500 μl of warm, low-potassium Tyrode’s solution (5 mM KCl, 129 mM NaCl, 2 mM CaCl2, 1 mM MgCl2, 30 mM glucose, 25 mM HEPES pH 7.4) and imaged with a confocal microscope (Leica Stellaris) for 30 s at 37 °C, after which medium was replaced by high-potassium Tyrode’s solution (high-KCl, 67 mM KCl: 67 mM NaCl, 2 mM CaCl2, 1 mM MgCl2, 30 mM glucose and 25 mM HEPES pH 7.4) and imaging resumed for 25 min. Mean grey values were collected from ROIs delineating Calbryte+ somas (visualized by standard deviation projection of the entire time series) with Fiji (ImageJ v.2.1.0, NIH). Mean grey values were transformed to relative changes in fluorescence: dF/F(t) = (F(t) − F0)/F0, where F0 represents average grey values of the time series of each ROI. Residual calcium was calculated as (C − A)/(B − A), where B is the peak value following depolarization (maximal peak value determined by custom-written MATLAB routines (v. R2019b and v. R2022b, 9.4.0, MathWorks), A is the baseline value (B − 50th frame) and C is the decay value (B + 150th frame).

    Golgi staining

    Golgi staining was conducted using the FD Rapid GolgiStain Kit (FD Neurotechnologies, catalogue no. PK401) according to the manufacturer’s instructions. In brief, freshly dissected t-hCO were incubated with solution A/B mixture in the dark and then transferred to solution C. After 72 h the tissue was embedded in agarose, the vibratome chamber filled with solution C and tissue sectioned at 100 μm using a Leica VT1200S vibratome. Sections were mounted on gelatin-coated slides, stained in solution D/E, washed, dehydrated, cleared and coverslipped. Images were acquired on a SP8 confocal microscope with brightfield. Cells were counted as neurons based on their morphology; dendrites were manually traced using neuTube. Both tracing and analysis were performed blinded.

    Statistics and reproducibility

    Data are presented as either mean ± s.d. or mean ± s.e.m. unless otherwise indicated. Distribution of raw data was tested for normality of distribution; statistical analyses were performed using either two-tailed student’s t-tests, one-way ANOVA with multiple comparisons, two-tailed Mann–Whitney tests or Kruskal–Wallis tests. Statistical analysis was performed in Prism (GraphPad). Data shown for representative experiments were repeated, with similar results, in at least three independent biological replicates, unless otherwise noted. Sample sizes were estimated empirically.

    Reporting summary

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

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  • how generative AI aids in accessibility

    how generative AI aids in accessibility

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    Close up of a smart phone screen with a thumb hovering over the ChatGPT app icon

    Tools such as ChatGPT can level the field for scientists who are English-language learners.Credit: Alamy

    In 2015, Hana Kang experienced a traumatic injury that damaged the left hemisphere of her brain, disrupting her facility for language and ability to process abstract thoughts. She spent the next six years rebuilding her memory, recovering basic mathematics skills and relearning Korean, Japanese and English. In 2022, she returned to finish her bachelor’s degree in chemical biology at the University of California, Berkeley.

    Today, Kang works as a junior specialist at the university’s Center for Genetically Encoded Materials. She uses mobility aids and an oxygen concentrator to manage her chronic pain — physical tools that are essential to her well-being. But no less meaningful are the generative artificial intelligence (GAI) programs she turns to each day to manage her time, interact with peers and conduct research. Kang struggles to read social cues and uses chatbots to play out hypothetical conversations. These tools also help her on days when fatigue clouds her thinking — by transcribing and summarizing recordings of lectures she attends, gauging tone and grammar, and polishing her code. “Without these tools, I’d be very lost, and I don’t think I could have done what I’ve managed to do,” she says.

    Artificial intelligence (AI) tools — including chatbots such as ChatGPT, image generators such as Midjourney and DALL-E, and coding assistants such as Copilot — have arrived in force, injecting AI into everything from drafting the simplest grocery list to writing complex computer code. Academics remain divided over whether such tools can be used ethically, however, and in a rush to control them, some institutions have curtailed or completely banned the use of GAI. But for scientists who identify as disabled or neurodivergent, or for whom English is a second language, these tools can help to overcome professional hurdles that disproportionately affect marginalized members of the academic community.

    “Everybody’s talking about how to regulate AI, and there’s a concern that the people deciding these guidelines aren’t thinking about under-represented individuals,” says Chrystal Starbird, a structural biologist at the University of North Carolina at Chapel Hill. She recently turned her attention to how GAI can support diversity, equity and inclusion. “We have to make sure we’re not acting from a place of fear, and that we’re considering how the whole community might use and benefit from these tools.”

    Friend or foe?

    Shortly after OpenAI in San Francisco, California, released ChatGPT in late 2022, primary and secondary schools around the United States started banning chatbots amid fears of plagiarism and cheating. Universities worldwide soon followed suit, including institutions in France, Australia, India, China, the United Kingdom and the United States. Ayesha Pusey, a mental-health and neurodivergence specialist at a UK disability-services organization, learnt that some of her students were facing disciplinary action for using GAI. Pusey, who identifies as autistic, dyslexic and otherwise neurodivergent, uses these programs herself and says that although they can be used to cheat, they’re also invaluable for structuring her life. “I’ve had a lot of success just budgeting my time, down to the recipes I cook for myself.”

    Indeed, using chatbots as a kind of digital assistant has been game-changing for many scientists with chronic illnesses or disabilities or who identify as neurodivergent. Collectively, members of these groups have long shared experiences of being ignored (see Nature Rev. Chem. 7, 815–816; 2023) by an academic system that prioritizes efficiency — stories that are now backed by data (see go.nature.com/3vuch31) .

    For those who struggle with racing thoughts, it can be challenging to settle the mind when working. Tigist Tamir, a postdoctoral researcher at the Massachusetts Institute of Technology in Cambridge, has attention-deficit hyperactivity disorder, and uses chatbots — including a program called GoblinTools, developed for people who are neurodivergent — to turn that inner chatter into actionable tasks and cohesive narratives. “Whether I’m reading, writing or just making to-do lists, it’s very difficult for me to figure out what I want to say. One thing that helps is to just do a brain dump and use AI to create a boiled-down version,” she says, adding: “I feel fortunate that I’m in this era where these tools exist.”

    By contrast, people including Pusey and Kang are more likely to struggle when faced with a blank page, and find chatbots useful for creating outlines for their writing tasks. Both say they sometimes feel that their writing is stilted or their narrative thread is muddled, and value the peace of mind that AI gives them by checking their work for tone and flow.

    Four different AI generated images based on the same quote from a book describing a scene of a house with a dirt yard in the clearing of a wood

    An AI-generated visualization of a woodland clearing described in the novel I Am Charlotte Simmons by Tom Wolfe.Credit: Kate Glazko generated using Midjourney

    The usefulness of these tools extends beyond writing. Image generators such as OpenAI’s DALL-E allow Kate Glazko, a doctoral student in computer science at the University of Washington in Seattle, to navigate her aphantasia — the inability to visualize. When Glazko encounters a description in a book, she can enter the text into a program to create a representative image. (In February, OpenAI also announced Sora, which creates videos from text.) “Being able to read a book and see a visual output has made reading a transformative experience,” she says, adding that these programs also help people who cannot use a pencil or mouse to produce images. “It just creates a way to quickly participate in the design process.”

    Levelling the field

    Academia can also be a hostile place for scientists who are English-language learners. They often spend more time reading, writing and preparing English-language presentations than do those for whom English is their first language1, and they might be less inclined to attend or speak at conferences conducted in English. They are also less likely than fluent English speakers to be perceived as knowledgeable2 by colleagues, and journals are more likely to reject their papers (see Nature 620, 931; 2023).

    Daishi Fujita, a chemist at Kyoto University in Japan, was educated in Japanese. Before GAI, Fujita says, “My colleagues and I would often say how we wished we could read papers in our mother tongue.” Now, they can use ChatPDF — a chatbot that answers users’ questions about the contents of a PDF file — alongside speech recognition and translation tools such as Whisper and DeepL to smooth the reading process. Particularly for literature searches or when researching unfamiliar topics, Fujita uses GAI programs to define words in unfamiliar fields and to quickly gauge whether a paper might be helpful, saving hours of work.

    Generative AI can also be useful for structuring professional communications, allowing English-language learners to worry less over how their words might be perceived. María Mercedes Hincapié-Otero, a research assistant at the University of Helsinki who grew up speaking Spanish in Colombia, relies on GAI not just to structure and proof research papers, but also to draft e-mails and job applications. Passing her text through ChatGPT to check grammar and tone “helps make things a little more fair, as people like me often need to put more time and energy into producing writing at the required level”, Hincapié-Otero says. “I might ask someone to check, but if there’s no one available at the time, this becomes a great alternative.”

    Similarly, Fujita has started using chatbots to help to structure and proofread his peer-review comments. Peer review is already more laborious for scientists who are English-language learners, Fujita says, but because of the small size of his field, there’s also the risk that he could be identified by his writing style. “As a native speaker, you can feel when a comment is written by a non-native speaker,” he explains.

    Towards a better world

    As much as GAI has been a boon for accessibility, it can also perpetuate existing biases. Most chatbots are trained on text from the Internet, which is predominantly written by white, neurotypical men, and chatbot outputs mirror that language. Kieran Rose, an autism advocate based in the United Kingdom, says that for this reason, he never uses AI to change his style of writing. “I absolutely see the usefulness of AI,” he says, but “I don’t apologize for how I communicate”.

    Jennifer Mankoff, a computer scientist at the University of Washington, together with Glazko and other researchers, investigated the potential risks in a 2023 study3 in which scientists with disabilities or chronic illnesses tested GAI tools. Mankoff, who has Lyme disease and often experiences fatigue and brain fog, says that chatbots have proved helpful for tackling tedious tasks, such as collating a bibliography. But she and her co-authors also flagged instances in which chatbots returned ableist tropes, such as ChatGPT misrepresenting the findings of a paper to suggest that researchers speak only to caregivers and not to those receiving care. One co-author struggled to generate accurate images of people with disabilities: the results included disembodied hands and prosthetic legs. And although GAI programs can parrot rules for creating accessible imagery — such as providing the best colours for graphics that can be read by people with visual impairments — they often cannot apply them when creating content.

    Claire Malone sitting at her home computer

    Claire Malone uses AI for dictation.Credit: Claire Malone

    That said, GAI can also bring joy to peoples’ lives. Speaking to Nature, scientists shared stories of using the software to create knitting patterns, recipes, poetry and art. That might seem irrelevant to academic research, but creativity is a crucial part of innovation, Mankoff says. “Particularly for creative tasks — ideation, exploration, creating throwaway things as part of the creative process — accessibility tools don’t have all of the capabilities we would want,” she says. “But GAI really opens the door for people with disabilities to engage in this space where interesting advancements happen.”

    Claire Malone, a physicist turned science communicator based in London, is working on a science-fiction novel and uses AI to transcribe her thoughts through dictation — something she couldn’t do even a year ago. Malone has mobility, dexterity and speech conditions because of cerebral palsy, but in 2022, she discovered an AI tool called Voiceitt that transcribes atypical speech and integrates with ChatGPT. Whereas before she could type at six words per minute, “if I dictate, I can write at the pace that I speak”, she says, adding that the tool has been “transformative” in her work and personal life. In a LinkedIn post (see go.nature.com/3ixrynv), Malone shared how she can now get away from her desk and dictate text whenever inspiration strikes.

    As for Kang, she’s started using GAI to re-engage with her creative and social outlets. Before her accident, Kang often wrote fiction and graphic novels, and she has started to do so again using ChatGPT and image generators. She’s also rebuilding her social life by hosting house parties and using ChatGPT to generate conversation topics and even jokes. Using chatbots to inject humour back into her relationships has helped her to reconnect with friends and break the ice with strangers, she says. “Humour feels like such an unimportant thing when you’re trying to rebuild a life, but if you can afford to be funny, it feels like you’ve succeeded.”

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