The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Pathological priming causes developmental gene network heterochronicity in autistic subject-derived neurons
Open accessAbstract
Autism spectrum disorder (ASD) is thought to emerge during early cortical development. However, the exact developmental stages and associated molecular networks that prime disease propensity are elusive. To profile early neurodevelopmental alterations in ASD with macrocephaly, we monitored subject-derived induced pluripotent stem cells (iPSCs) throughout the recapitulation of cortical development. Our analysis revealed ASD-associated changes in the maturational sequence of early neuron development, involving temporal dysregulation of specific gene networks and morphological growth acceleration. The observed changes tracked back to a pathologically primed stage in neural stem cells (NSCs), reflected by altered chromatin accessibility. Concerted over-representation of network factors in control NSCs was sufficient to trigger ASD-like features, and circumventing the NSC stage by direct conversion of ASD iPSCs into induced neurons abolished ASD-associated phenotypes. Our findings identify heterochronic dynamics of a gene network that, while established earlier in development, contributes to subsequent neurodevelopmental aberrations in ASD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Consistently, compared with gene expression signatures from bulk adult brain regions from the Allen BrainSpan dataset, both iNs and iPSC-iNs were most similar to prefrontal and frontal adult human cortex samples and less to other regions (Figure 7E; Mertens et al., 2015a; Schafer et al., 2019).”
From Age-dependent instability of mature neuronal fate in induced neurons from Alzheimer’s patients (2021) · cites this paper as Schafer et al., 2019
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Induction of Pluripotent Stem Cells from Adult Human Fibroblasts by Defined Factors
Takahashi, K., Tanabe, K., Ohnuki, M., Narita, M., Ichisaka, T., Tomoda, K., & Yamanaka, S. (2007) · Cell · doi:10.1016/j.cell.2007.11.019 · Cited by 20,221
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
Cited by
Sorted by citations
Items 201–295 of 295
SYNGAP1 deficiency disrupts neoteny in human cortical neurons in vivoPreprint
Vermaercke, B., Iwata, R., Weirda, K., Boubakar, L., Rodríguez, P., Ditkowska, M., Bonin, V., & Vanderhaeghen, P. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.14.524054 · Cited by 3
Glass, M. R., Matoba, N., Beltran, A. A., Patel, N. K., Farah, T. M., Eswar, K. K., Bhargava, S., Huang, K., Curtin, I., Ahmed, S. M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.07.637106 · Cited by 3
Nayak, R., Sharma, O., Mizrahi, L., Shemen, A., Tripathi, U., Hussein, Y., Rike, W. A., Rosh, I., Radzishevsky, I. S., Mandel, H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.25.650669 · Cited by 2
A splice-switching antisense oligonucleotide approach for pediatric genetic epilepsiesPreprint
Dame, H. B., Kopalle, H., Miñana, B., Klaft, Z., Fahey, J. B., McWatters, D. C., Rao, V., Suresh, R., Aigner, S., Hammer, M. F., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.22.683934 · Cited by 3
Disanza, B., Porcari, G. S., Finoti, L. S., Ramos-Rodriguez, L., Burris, D. M., McDonough, J. A., Ning, G., Fagan, G., Helman, G., Weiss, E., et al. (2025) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2025.100525 · Cited by 2
MECP2 mutations rewire human ESC fate and bias cortical lineage commitment
Guillon, M., Brin, M., Gabet, E., Gromaire, J., Bernard, M., Laurent, L., Rabin, T., Bianchin, L., Veziano, M., Kloda, J., et al. (2026) · Stem Cell Reports · doi:10.1016/j.stemcr.2026.102895 · Cited by 2
Bhat, S. S., Niranjan, V., Chandran, T. R., Kulkarni, S. R., Makkar, S., Dixit, V., Subhasa, C. K., & Vishal, A. (2025) · Advances in Biomarker Sciences and Technology · doi:10.1016/j.abst.2025.12.004 · Cited by 4
Varella-Branco, E., Shephard, E., Toledo, V. H. C., Ramos, I. C., Lacerda, E. C. M., Carvalho, L. L. M., Fiuza, M. A., Paschalidis, M., Costa, C. I. S., Girardi, A. C. S., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-025-03433-y · Cited by 2
CK2 inhibition suppresses glial inflammation in models of neuroinflammation and neurodegeneration
Silva, I. I. N. D., Ramirez, D., Parylak, S., Wallace, L. A., Tucker, J. K., Erberich, J. M., Katariya, R., McDonald, A. H., Gallina, I. S., Tucker, A. L., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-71736-x · Cited by 2
Li, C., Wang, K., Mao, X., Sasaki, T., Liu, X., & Lu, Y. (2025) · Journal of Biomedical Research · doi:10.7555/jbr.38.20240394 · Cited by 2
The When and Where: Molecular and Cellular Convergence in Autism
Schafer, S. T., & Gage, F. H. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.12.016 · Cited by 2
Cellular and molecular neurobiology of autism spectrum disorder
Chapman, G., Antony, I., Narasimhan, M., Shen, R., Elman, R., & Kroll, K. L. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-816393-1.00007-5 · Cited by 2
Nomura, J., Zuko, A., Kishimoto, K., Mutsumine, H., Fukatsu, K., Nomura, Y., Liu, X., Nakai, N., Takahashi, E., Kouno, T., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.02.478766 · Cited by 2
Hathy, E., Varga, N., Erdei, Z., Szabó, E., Tordai, C., Czehlár, B., Baradits, M., Jezsó, B., Koller, J., Nagy, L., et al. (2020) · doi:10.21203/rs.2.20699/v1 · Cited by 3
An integrated framework for functional dissection of variable expressivity in genetic disordersPreprint
Sun, J., Noss, S., Banerjee, D., Bhavana, V. H., Smolen, C., Das, M., Giardine, B. M., Prabhu, A., Amor, D. J., Pope, K., et al. (2025) · medRxiv · doi:10.1101/2025.07.22.25331885 · Cited by 2
Human in vitro disease models to aid pathway and target discovery for neurological disorders
Muralidharan, B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821972-0.00013-7 · Cited by 1
Genetic etiology and neurobiological mechanisms of autism spectrum disorders
ZHANG, J., XiangBin, J. I. A., Xia, K., Guo, H., & Li, J. (2024) · Scientia Sinica Vitae · doi:10.1360/ssv-2024-0105 · Cited by 1
Aberrant neural stem cell quiescence is the gateway to autism development linked to Arid1b
Cho, B., Kim, H., An, S., Hwang, Y., Kwon, D., Park, J.-H., Lengner, C. J., & Kim, J. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03174-y · Cited by 1
Pharmacological manipulation of nested oscillations in human iPSC-derived 2D neuronal networks
Prè, D., Cazares, C., Wooten, A. T., Zhou, H., Onofre, I., Neil, A., Logan, T., Hu, R., Lui, J. H., Voytek, B., et al. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107281 · Cited by 1
Crosstalk between microRNAs and epigenetics during brain development and neurological diseases
Swaroop, S., & Adlakha, Y. K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-99521-4.00009-x · Cited by 1
Functional Exploration of Epilepsy Genes in Patient-Derived Cells
Varela, M. C., Samarasinghe, R. A., & Parent, J. M. (2024) · Oxford University Press eBooks · doi:10.1093/med/9780197549469.003.0042 · Cited by 1
Nomura, Y., Nomura, J., Tamada, K., Eguchi, N., Torigata, K., Tokumoto, S., Nemoto, A., Shirafuji, T., Yamamoto, K., Hishimoto, A., et al. (2025) · Human Molecular Genetics · doi:10.1093/hmg/ddaf184 · Cited by 1
Straiton, J. (2019) · BioTechniques · doi:10.2144/btn-2019-0019 · Cited by 1
ATAC-seq and psychiatric disorders
Fullard, J. F., Bendl, J. M., & Roussos, P. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823577-5.00036-2 · Cited by 1
Brain development in autism: Timing is everything
Andreae, L. C. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aaw5314 · Cited by 1
Caracterização genótipo-fenótipo em novas síndromes associadas ao Transtorno do Espectro Autista
Branco, E. V. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.41.2020.tde-20012020-101726 · Cited by 1
Identification of hub genes in cervical cancer using weighted gene co-expression network analysisPreprint
Lv, X., Gong, R., Han, X., & Cui, S. (2020) · doi:10.21203/rs.3.rs-41524/v1 · Cited by 1
Chen, S., Shcherbina, A., Schafer, S. T., Mattingly, Z. A., Ramesh, J., Narayanan, C., Banerjee, S., Heath, B. E., Regester, M., Chen, I., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.30.635706 · Cited by 1
Chapman, G., Determan, J. J., Edwards, J. R., Batool, F., Huettner, J. E., Prakasam, R., Crump, S. R., Razia, Y., Malik, S., Law, T. E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.24.661324 · Cited by 2
CK2 inhibition suppresses glial inflammation in the brainPreprint
Silva, I. I. N. D., Ramirez, D., Parylak, S., Wallace, L. A., Tucker, J. K., Erberich, J. M., Katariya, R., McDonald, A. H., Gallina, I. S., Tucker, A. L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.05.668554 · Cited by 1
Heterochronicity shapes brain network formationPreprint
Poli, F., Oldham, S., Mousley, A., Bullmore, E. T., Vértes, P. E., & Astle, D. E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.13.682136 · Cited by 1
Determan, J. J., Chapman, G., Crump, S. R., Batool, F., Malik, S., Gujral, T. S., Buchser, W., Valentine, C., Elia, S. N., Sentmanat, M. F., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.11.705165 · Cited by 1
Micali, N., Kim, S., Diaz-Bustamante, M., Stein-O’Brien, G., Seo, S., Shin, J. H., Rash, B. G., Ma, S., Wang, Y., Olivares, N. A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/577544
Warre-Cornish, K. M., Perfect, L., Nagy, R., Reid, M. J., Mueller, A., Evans, A., Ghevaert, C., McAlonan, G. M., Loth, E., Murphy, D., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/789321
Dickinson, A. H., Daniel, M., Marin, A., Goanker, B., Dapretto, M., McDonald, N. M., & Jeste, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/866939
Tidball, A. M., Lopez‐Santiago, L. F., Yuan, Y., Glenn, T. W., Margolis, J. L., Walker, J. C., Kilbane, E. G., Isom, L. L., & Parent, J. M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.16.909192
Sanders, B., D’Andrea, D., Collins, M. O., Rees, E., Steward, T. G. J., Zhu, Y., Chapman, G., Legge, S. E., Pardiñas, A. F., Harwood, A. J., et al. (2020) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Morphology and Connectivity Impairments in Rett Syndrome Human Stem Cell-Derived Neurons
Mok, R. S. F. (2020) · TSpace (University of Toronto)
Pinto, B. G. G. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.95.2021.tde-18052021-171202
[Facioacromelic disostosis with metal retardation (author's transl)].
Cantú, J. M., Hernández, A., Nazará-Cazorla, Z., Pacheco, C., & Armendares, S. (1974) · PubMed
P.0047 FGF2 dysregulation induces atypical neural rosette formation in autism
Adhya, D., Polit, L. D., Srivastava, D. P., & Baron‐Cohen, S. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.10.052
Human-mouse chimeric Fragile X syndrome model reveals FMR1-dependent neuronal phenotypesPreprint
Krzisch, M., Wu, H., Yuan, B., Whitfield, T. W., Liu, X. S., Fu, D., Garrett-Engele, C. M., Chang, A. N., Warren, S. T., Cacace, A. M., et al. (2020) · Research Square · doi:10.21203/rs.3.rs-83372/v1
Suzuki, Â. M. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.41.2021.tde-09122021-143412
Build Independent Self-feeding Function: A Pilot Study on a Child with Autism and Feeding DisorderPreprint
Yang, Y., Tarbox, J., Aclan, M. D., & Ma, H. (2021) · doi:10.31234/osf.io/8wzu6
Hathy, E., Szabó, E., Varga, N., Erdei, Z., Tordai, C., Czehlár, B., Baradits, M., Jezsó, B., Koller, J., Nagy, L., et al. (2020) · doi:10.21203/rs.2.20699/v2
Ferretti, G., Romano, A., Sirabella, R., Serafini, S., Maier, T., & Matrone, C. (2022) · Research Square · doi:10.21203/rs.3.rs-1839359/v1
Phytochemicals And Nutraceuticals as A Promising Drug Candidate in Autism Spectrum Disorder
Aslam, M., & Azam, M. B. (2022) · DIET FACTOR (Journal of Nutritional & Food Sciences) · doi:10.54393/df.v3i1.12
Novel correlative analysis identifies multiple genomic variations impacting ASD with macrocephalyPreprint
Wynshaw-Boris, A. J., Fu, C., Ngo, J., Zhang, S., Lu, L., Miron, A., Schafer, S. T., Gage, F. H., Jin, F., & Schumacher, F. (2022) · Research Square · doi:10.21203/rs.3.rs-2009452/v1
Developing clinically translatable screens using iPSC-derived neural cells
Engle, S. J., Faloon, P. W., Mariga, A., & Kleiman, R. J. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822277-5.00011-0
Maussion, G., Rocha, C., Pimentel, L. S. B., & Durcan, T. M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822277-5.00001-8
Yasvoina, M. V., & Srivastava, D. P. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.05.007
Fetit, R., Pratt, T., & Price, D. J. (2023) · Springer eBooks · doi:10.1007/978-3-031-42383-3_17
Liu, Y., Fu, Y., Yang, Y., Yi, G., Lian, J., Xie, B., Yao, Y., Chen, M., Niu, Y., Liu, L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21117434
Rodrigues, C. E. F., Pinto, B. G. G., & Griesi‐Oliveira, K. (2024) · Human Gene · doi:10.1016/j.humgen.2024.201366
Xu, X., Wang, J., Hu, K., Su, D., Huang, Q., Fan, X., & Fan, X. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.04.626807
秦, 美. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.1551547
Microphysiological Systems: Advancing Insights into Brain Development and Disorders
Yasmin, F., Cristofoletti, R., & Piñeiro-Llanes, J. (2025) · IntechOpen eBooks · doi:10.5772/intechopen.1011630
Digestive Dimensions of Autism: A Multiscale Exploration of Gut-Brain InteractionsPreprint
Robas, R., Tripathi, U., Rike, W. A., Sharma, O., & Stern, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.29.667422
Choudhary, A., Sharma, O., Ezer, R. B., Tripathi, U., Rosh, I., Stern, T., Birch, J. D., Nunes, A., Falkovich, G., Alda, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.28.672780
Villani, A., Wittmann, J., Wyss, T., Mallona, I., Ortiz, I. S., Tichy, N., Biermeier, C. M., Pena, M., Pal, A. A., Gilmour, D. T., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-09948-6 · Cited by 1
Robas, R., Tripathi, U., Rike, W. A., Sharma, O., & Stern, S. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26199580 · Cited by 1
Use of brain organoids for autism
Elangovan, A., Kumar, N., Wander, A., & Michel, T. M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29898-1.00012-5
Mapping human neurodevelopment—Brain organoids meet lineage tracing
Liaci, C., & Quadrato, G. (2025) · FEBS Letters · doi:10.1002/1873-3468.70250 · Cited by 1
Hathy, E., Szabó, E., Varga, N., Erdei, Z., Tordai, C., Czehlár, B., Baradits, M., Jezsó, B., Koller, J., Nagy, L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13297027
Liu, Y., Fu, Y., Yang, Y., Yi, G., Lian, J., Xie, B., Yao, Y., Chen, M., Niu, Y., Liu, L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21117428
Hathy, E., Szabó, E., Varga, N., Erdei, Z., Tordai, C., Czehlár, B., Baradits, M., Jezsó, B., Koller, J., Nagy, L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13297024
Hathy, E., Szabó, E., Varga, N., Erdei, Z., Tordai, C., Czehlár, B., Baradits, M., Jezsó, B., Koller, J., Nagy, L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13297030
Hathy, E., Szabó, E., Varga, N., Erdei, Z., Tordai, C., Czehlár, B., Baradits, M., Jezsó, B., Koller, J., Nagy, L., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13297033
Liu, Y., Fu, Y., Yang, Y., Yi, G., Lian, J., Xie, B., Yao, Y., Chen, M., Niu, Y., Liu, L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21117440
Adhya, D., Chennell, G., Crowe, J. A., Valencia-Alarcón, E. P., Seyforth, J., Hosny, N. A., Yasvoina, M. V., Forster, R., Baron‐Cohen, S., Vernon, A. C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13632927
Ariaei, A., Ketabforoush, A. H. M. E., Bordbar, S., Barati, S., Lotfi, A., Sayahpour, F. A., Faghihi, F., & Abediankenari, S. (2026) · Egyptian Journal of Medical Human Genetics · doi:10.1186/s43042-026-00850-8
FGF2 Boost for Driving Forebrain Organoid Maturation Under Static Conditions
Grecu, E., Maxia, C., Dolciotti, C., Bongioanni, P., Carratore, R. D., Isola, M., Mocci, I., Casu, M. A., Picciau, F., Murtas, D., et al. (2026) · Journal of Histochemistry & Cytochemistry · doi:10.1369/00221554261433071
Chapman, G., Determan, J. J., Edwards, J. R., Batool, F., Huettner, J. E., Prakasam, R., Crump, S. R., Razia, Y., Malik, S., Law, T. E., et al. (2026) · eLife · doi:10.7554/elife.111056.1
Chapman, G., Determan, J. J., Edwards, J. R., Batool, F., Huettner, J. E., Prakasam, R., Crump, S. R., Razia, Y., Malik, S., Law, T. E., et al. (2026) · eLife · doi:10.7554/elife.111056
Human Cellular Models of Autism and Related Conditions
Guttikonda, S. R., & Makinson, C. D. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.07.003
Jahandideh, P., & Bitaraf, A. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06252-6
Hong, Y., Zhao, T., Yang, Q., Zhang, H., Ma, X., Su, X., Liu, J., Zhang, S., Mendez-Maldonado, K., Zhou, Y., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.07.756381
Heterochronicity shapes brain network formation
Poli, F., Oldham, S., Mousley, A., Bullmore, E. T., Vértes, P. E., & Astle, D. E. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2610400123
Brennand, K. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.19457278
Metadata
- Authors
- Schafer, S. T., Paquola, A. C. M., Stern, S., Gosselin, D., Ku, M., Pena, M., Kuret, T. J. M., Liyanage, M., Mansour, A. A., Jaeger, B. N., Marchetto, M. C., Glass, C. K., Mertens, J., & Gage, F. H.
- Affiliations
- Salk Institute for Biological Studies (US)
- Centre hospitalier universitaire de Québec (CA)
- University of California San Diego (US)
- Corresponding author
- Gage, Fred H.
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2019-01-07
- Volume
- 22
- Issue
- 2
- Pages
- 243-255
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC6402576
- OpenAlex
- W2906812748
- Cited by
- 288
- References
- 71
- Citations by year
- 2026: 18 · 2025: 34 · 2024: 25 · 2023: 35 · 2022: 40 · 2021: 44 · 2020: 63 · 2019: 28
- FWCI
- 25.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG056306)
- National Institute of Mental Health (R01MH090258, R03MH115426, R01MH095741)
- National Cancer Institute (P30CA014195)
- National Institute of Neurological Disorders and Stroke (R01NS096170)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Keywords
- autism spectrum disorder, heterochrony, cortical development, neural stem cells, induced neurons, induced pluripotent stem cells, chromatin accessibility, macrocephaly, iPSC-derived neurons
- MeSH terms
- Autism Spectrum Disorder, Humans, Nerve Net, Neurons, Gene Regulatory Networks, Inhibitory Postsynaptic Potentials, Induced Pluripotent Stem Cells, Neural Stem Cells
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review