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RBFOX1 regulates both splicing and transcriptional networks in human neuronal development
Open accessAbstract
RNA splicing plays a critical role in the programming of neuronal differentiation and, consequently, normal human neurodevelopment, and its disruption may underlie neurodevelopmental and neuropsychiatric disorders. The RNA-binding protein, fox-1 homolog (RBFOX1; also termed A2BP1 or FOX1), is a neuron-specific splicing factor predicted to regulate neuronal splicing networks clinically implicated in neurodevelopmental disease, including autism spectrum disorder (ASD), but only a few targets have been experimentally identified. We used RNA sequencing to identify the RBFOX1 splicing network at a genome-wide level in primary human neural stem cells during differentiation. We observe that RBFOX1 regulates a wide range of alternative splicing events implicated in neuronal development and maturation, including transcription factors, other splicing factors and synaptic proteins. Downstream alterations in gene expression define an additional transcriptional network regulated by RBFOX1 involved in neurodevelopmental pathways remarkably parallel to those affected by splicing. Several of these differentially expressed genes are further implicated in ASD and related neurodevelopmental diseases. Weighted gene co-expression network analysis demonstrates a high degree of connectivity among these disease-related genes, highlighting RBFOX1 as a key factor coordinating the regulation of both neurodevelopmentally important alternative splicing events and clinically relevant neuronal transcriptional programs in the development of human neurons.
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“An important piece of information missing in previous efforts toward this aim [e.g., (Fogel et al., 2012; Gehman et al., 2012; Gehman et al., 2011; Ray et al., 2013; Zhang et al., 2008)] is a genome-wide, high-resolution map ofin vivo Rbfox interaction sites in the brain.”
From HITS-CLIP and integrative modeling define the Rbfox splicing-regulatory network linked to brain development and autism (2014) · cites this paper as Fogel et al., 2012
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“we examined published RNA-seq data following RBFOX1 knockdown by RNA interference (RNAi)36 and found that the predicted RBFOX1 stability targets were collectively reduced in abundance (P < 10−15”
From A compendium of RNA-binding motifs for decoding gene regulation (2013) · cites this paper as [36]
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1 retracted
Fukuda, T., Yamagata, K., Fujiyama, S., Μatsumoto, T., Koshida, I., Yoshimura, K., Mihara, M., Naitou, M., Endoh, H., Nakamura, T., et al. (2007) · Nature Cell Biology · doi:10.1038/ncb1577 · Cited by 452
RetractedFast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
The igraph software package for complex network research
Csárdi, G., & Nepusz, T. (2006) · Medical Entomology and Zoology · Cited by 10,078
A General Framework for Weighted Gene Co-Expression Network Analysis
Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684
Alternative isoform regulation in human tissue transcriptomes
Wang, E. T., Sandberg, R., Luo, S., Khrebtukova, I., Zhang, L., Mayr, C., Kingsmore, S. F., Schroth, G. P., & Burge, C. B. (2008) · Nature · doi:10.1038/nature07509 · Cited by 5,181
Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
Bailey, T. L., & Elkan, C. (1994) · PubMed · Cited by 4,982
Pan, Q., Shai, O., Lee, L. J., Frey, B. J., & Blencowe, B. J. (2008) · Nature Genetics · doi:10.1038/ng.259 · Cited by 3,951
Strong association of de novo copy number mutations with autism
Sebat, J., Lakshmi, B., Malhotra, D., Troge, J., Lese-Martin, C., Walsh, T., Yamrom, B., Yoon, S., Krasnitz, A., Kendall, J., et al. (2007) · Science · doi:10.1126/science.1138659 · Cited by 2,795
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Joutel, A., Corpechot, C., Ducros, A., Vahedi, K., Chabriat, H., Mouton, P., Alamowitch, S., Domenga, V., Cécillion, M., Maréchal, E., et al. (1996) · Nature · doi:10.1038/383707a0 · Cited by 2,068
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Alipanahi, B., Delong, A., Weirauch, M. T., & Frey, B. J. (2015) · Nature Biotechnology · doi:10.1038/nbt.3300 · Cited by 2,873
Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0326-7 · Cited by 2,565
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Self-citationA compendium of RNA-binding motifs for decoding gene regulation
Ray, D., Kazan, H., Cook, K. B., Weirauch, M. T., Najafabadi, H. S., Li, X., Gueroussov, S., Albu, M., Zheng, H., Yang, A., et al. (2013) · Nature · doi:10.1038/nature12311 · Cited by 1,480
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Self-citationAdvancing the understanding of autism disease mechanisms through genetics
de la Torre-Ubieta, L., Won, H., Stein, J. L., & Geschwind, D. H. (2016) · Nature Medicine · doi:10.1038/nm.4071 · Cited by 827
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“- AS profiling of splicing factor-deficient or -overexpressing cells: we used available RNA-Seq data from splicing factor knock-downs (RBFOX1 in human neural precursor cells (Fogel et al., 2012), MBNL1 and MBNL2 in human HeLa cells (Han et al.”
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“, 2014), splicing (Berto et al., 2016; Fogel et al., 2012; Weyn-Vanhentenryck et al., 2014), or signaling (Tian et al.”
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Taoufik, E., Kouroupi, G., Zygogianni, O., & Matsas, R. (2018) · Open Biology · doi:10.1098/rsob.180138 · Cited by 213
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Quesnel-Vallières, M., Weatheritt, R. J., Cordes, S. P., & Blencowe, B. J. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0066-2 · Cited by 167
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Cieply, B. W., & Carstens, R. P. (2015) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1276 · Cited by 148
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Costa, V., Aigner, S., Vukcevic, M., Sauter, E. J., Behr, K., Ebeling, M., Dunkley, T. P. J., Friedlein, A., Zoffmann, S., Meyer, C. A., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.02.090 · Cited by 112
Lam, M., Hill, W. D., Trampush, J. W., Yu, J., Knowles, E., Davies, G., Stahl, E. A., Huckins, L. M., Liewald, D. C. M., Djurovic, S., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.06.012 · Cited by 115
Akula, N., Barb, J., Jiang, X., Wendland, J. R., Choi, K. H., Sen, S. K., Hou, L., Chen, D. T. W., Laje, G., Johnson, K., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.170 · Cited by 116
Singh, R. K., Xia, Z., Bland, C. S., Kalsotra, A., Scavuzzo, M. A., Curk, T., Ule, J., Li, W., & Cooper, T. A. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.06.035 · Cited by 117
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Lal, D., Reinthaler, E. M., Altmüller, J., Toliat, M. R., Thiele, H., Nürnberg, P., Lerche, H., Hahn, A., Møller, R. S., Muhle, H., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073323 · Cited by 113
Alkallas, R., Fish, L., Goodarzi, H., & Najafabadi, H. S. (2017) · Nature Communications · doi:10.1038/s41467-017-00867-z · Cited by 112
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Chen, T., Giri, M., Xia, Z., Subedi, Y. N., & Li, Y. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s142032 · Cited by 111
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Fredericks, A. M., Cygan, K. J., Brown, B., & Fairbrother, W. G. (2015) · Biomolecules · doi:10.3390/biom5020893 · Cited by 108
Hamada, N., Ito, H., Nishijo, T., Iwamoto, I., Morishita, R., Tabata, H., Momiyama, T., & Nagata, K.-I. (2016) · Scientific Reports · doi:10.1038/srep30805 · Cited by 86
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Lin, L., Göke, J., Cukuroglu, E., Dranias, M. R., VanDongen, A. M. J., & Stanton, L. W. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.05.022 · Cited by 95
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Bill, B. R., Lowe, J. K., DyBuncio, C. T., & Fogel, B. L. (2013) · International Review of Neurobiology · doi:10.1016/b978-0-12-418700-9.00008-3 · Cited by 94
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Raghavan, N. S., Dumitrescu, L. C., Mormino, E. C., Mahoney, E. R., Lee, A., Gao, Y., Bilgel, M., Goldstein, D. B., Harrison, T. M., Engelman, C. D., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1760 · Cited by 91
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Noor, A., Lionel, A. C., Cohen‐Woods, S., Moghimi, N., Rucker, J., Fennell, A., Thiruvahindrapuram, B., Kaufman, L., Degagne, B., Wei, J., et al. (2014) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32232 · Cited by 85
Berto, S., Usui, N., Konopka, G., & Fogel, B. L. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw110 · Cited by 80
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Hu, J., Ho, A. L., Yuan, L., Hu, B., Hua, S., Hwang, S. S., Zhang, J., Hu, T., Zheng, H., Gan, B., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308610110 · Cited by 76
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Juan‐Mateu, J., Rech, T. H., Villate, O., Lizárraga-Mollinedo, E., Wendt, A., Turatsinze, J., Brondani, L. D. A., Nardelli, T. R., Nogueira, T. C., Esguerra, J. L. S., et al. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.748335 · Cited by 70
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Lal, D., Trucks, H., Møller, R. S., Hjalgrim, H., Koeleman, B. P. C., de Kovel, C. G. F., Visscher, F., Weber, Y. G., Lerche, H., Becker, F., et al. (2013) · Epilepsia · doi:10.1111/epi.12084 · Cited by 67
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Turner, S. J., Morgan, A. T., Perez, E. R., & Scheffer, I. E. (2015) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-015-0554-0 · Cited by 67
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Kanduri, C., Kantojärvi, K., Salo, P., Vanhala, R., Buck, G., Blancher, C., Lähdesmäki, H. J., & Järvelä, I. E. (2015) · Autism Research · doi:10.1002/aur.1502 · Cited by 71
Kasper, C., Ribeiro, D. M., de Almeida, A. M., Larzul, C., Liaubet, L., & Muráni, E. (2020) · Genes · doi:10.3390/genes11080920 · Cited by 67
Stambolian, D. E., Wojciechowski, R., Oexle, K., Pirastu, M., Li, X., Raffel, L. J., Cotch, M. F., Chew, E. Y., Klein, B. E. K., Klein, R., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt116 · Cited by 63
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O’Leary, A., Fernàndez‐Castillo, N., Gan, G., Yang, Y., Yotova, A. Y., Kranz, T. M., Grünewald, L., Freudenberg, F., Antón-Galindo, E., Cabana‐Domínguez, J., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01722-4 · Cited by 51
Bozack, A. K., Rifas‐Shiman, S. L., Coull, B. A., Baccarelli, A., Wright, R. O., Amarasiriwardena, C. J., Gold, D. R., Oken, E., Hivert, M., & Cárdenas, A. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01198-z · Cited by 55
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Whitney, I. E., Keeley, P. W., John, A. J. S., Kautzman, A. G., Kay, J. N., & Reese, B. E. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0415-14.2014 · Cited by 50
Tomassoni‐Ardori, F., Fulgenzi, G., Becker, J., Barrick, C. A., Palko, M. E., Kuhn, S. A., Kopardé, V. N., Cam, M. C., Yanpallewar, S. U., Oberdoerffer, S., et al. (2019) · eLife · doi:10.7554/elife.49673 · Cited by 55
Grassi, E., Santoro, R., Umbach, A., Grosso, A., Oliviero, S., Neri, F., Conti, L., Ala, U., Provero, P., Cunto, F. D., et al. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00518 · Cited by 56
Mitchell, B. L., Campos, A. I., Whiteman, D. C., Olsen, C. M., Gordon, S. D., Walker, A. J., Dean, O. M., Berk, M., Hickie, I. B., Medland, S. E., et al. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.10.021 · Cited by 49
Fogel, B. L., Cho, E., Wahnich, A., Gao, F., Bécherel, O. J., Wang, X., Fike, F. M., Chen, L., Criscuolo, C., Michele, G. D., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu190 · Cited by 51
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Davies, M. N., Verdi, S., Burri, A. V., Trzaskowski, M., Lee, M., Hettema, J. M., Jansen, R., Boomsma, D. I., & Spector, T. D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134865 · Cited by 49
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Yazdani, N., Parker, C. C., Shen, Y., Reed, E. R., Guido, M. A., Kole, L. A., Kirkpatrick, S. L., Lim, J. E., Sokoloff, G., Cheng, R., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005713 · Cited by 46
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Berg, J. M., Lee, C., Chen, L., Galvan, L., Cepeda, C., Chen, J. Y., Peñagarikano, O., Stein, J. L., Li, A., Oguro-Ando, A., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.031 · Cited by 45
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Ayhan, F., & Konopka, G. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.08.017 · Cited by 46
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Guven-Ozkan, T., Busto, G. U., Schutte, S. S., Cervantes-Sandoval, I., O’Dowd, D. K., & Davis, R. L. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.01.040 · Cited by 43
Cibi, D. M., Mia, M. M., Shekeran, S. G., Yun, L. S., Sandireddy, R., Gupta, P. S., Hota, M., Sun, L., Ghosh, S., & Singh, M. K. (2019) · eLife · doi:10.7554/elife.45418 · Cited by 46
Cellini, E., Vetro, A., Conti, V., Marini, C., Doccini, V., Clementella, C., Parrini, E., Giglio, S., Monica, M. D., Fichera, M., et al. (2019) · European Journal of Human Genetics · doi:10.1038/s41431-019-0335-3 · Cited by 40
Pistoni, M., Shiue, L., Cline, M., Bortolanza, S., Neguembor, M. V., Xynos, A., Ares, M., & Gabellini, D. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003186 · Cited by 40
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Chiang, K.-M., Chang, H.-C., Yang, H., Chen, C.-H., Chen, H.-H., Lee, W.-J., & Pan, W. (2019) · BMC Genetics · doi:10.1186/s12863-019-0797-x · Cited by 40
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Xiong, W., & Zhou, D. (2017) · Seizure · doi:10.1016/j.seizure.2017.02.012 · Cited by 41
Japp, A. S., Gessi, M., Messing‐Jünger, M., Denkhaus, D., Mühlen, A. Z., Wolff, J. E. A., Hartung, S., Kordes, U., Klein‐Hitpaß, L., & Pietsch, T. (2015) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0000000000000154 · Cited by 38
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Lenzken, S. C., Achsel, T., Carrì, M. T., & Barabino, S. M. L. (2014) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1231 · Cited by 40
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Li, G., Wang, J., Liao, P. H., Bartels, P. H., Zhang, H., Yu, D., Liang, M. C., Poh, K. K., Yu, C. Y., Jiang, F., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617205114 · Cited by 37
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Perron, G., Jandaghi, P., Moslemi, E., Nishimura, T., Rajaee, M., Alkallas, R., Lu, T., Riazalhosseini, Y., & Najafabadi, H. S. (2022) · Communications Biology · doi:10.1038/s42003-022-03796-w · Cited by 35
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Muskiewicz, D. E., Uhl, G. R., & Hall, F. S. (2018) · Neural Plasticity · doi:10.1155/2018/9803764 · Cited by 34
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Goodwin, M., & Swanson, M. S. (2014) · Advances in experimental medicine and biology · doi:10.1007/978-1-4939-1221-6_10 · Cited by 33
Shakola, F., Suri, P., & Ruggiu, M. (2015) · Biomolecules · doi:10.3390/biom5032073 · Cited by 28
SIOMICS: a novel approach for systematic identification of motifs in ChIP-seq data
Ding, J., Hu, H., & Li, X. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1288 · Cited by 27
Stem cells and modeling of autism spectrum disorders
Freitas, B. C. G., Trujillo, C. A., Carromeu, C., Yusupova, M., Herai, R. H., & Muotri, A. R. (2014) · Experimental Neurology · doi:10.1016/j.expneurol.2012.09.017 · Cited by 27
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Wang, M. H., Sun, R., Guo, J., Weng, H., Lee, J., Hu, I., Sham, P. C., & Zee, B. C.-Y. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw347 · Cited by 27
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Pal, A., Noble, M. A., Morales, M., Pal, R., Baumgartner, M., Yang, J. W., Yim, K., Uebbing, S., & Noonan, J. P. (2025) · Cell · doi:10.1016/j.cell.2025.01.007 · Cited by 38
Metadata
- Authors
- Fogel, B. L., Wexler, E., Wahnich, A., Friedrich, T., Vijayendran, C., Gao, F., Parikshak, N., Konopka, G., & Geschwind, D. H.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Fogel, Brent L.
- Geschwind, Daniel H.
- Venue
- Human Molecular Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-06-23
- Volume
- 21
- Issue
- 19
- Pages
- 4171-4186
- ISSN
- 0964-6906 (ISSN-L)
- 1460-2083
- PMC
- PMC3441119
- OpenAlex
- W2127061112
- Cited by
- 216
- References
- 85
- Citations by year
- 2026: 19 · 2025: 13 · 2024: 13 · 2023: 12 · 2022: 12 · 2021: 12 · 2020: 13 · 2019: 12 · 2018: 14 · 2017: 8 · 2016: 17 · 2015: 31 · 2014: 18 · 2013: 18 · 2012: 4
- FWCI
- 9.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- Human Molecular Genetics (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Dr. Miriam and Sheldon G. Adelson Medical Research Foundation
- California Institute of Technology
- National Institutes of Health (5r01mh094714-04)
- National Institute of Mental Health (R01-MH094714, R00MH090238, K08MH086297, K08MH074362, R01MH081754, T32MH073526, R37MH060233, K08MH86297)
- National Institute of General Medical Sciences (T32GM008042)
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P30HD004612)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Keywords
- RBFOX1, A2BP1, alternative splicing, neuronal development, human neural stem cells, transcriptional regulatory networks, autism spectrum disorder, neurodevelopmental disorders, synaptic proteins, transcription factors, splicing factors, gene co-expression network, neuronal differentiation
- MeSH terms
- RNA Splicing Factors, Brain, Humans, RNA-Binding Proteins, Alternative Splicing, Aborted Fetus, Gene Regulatory Networks, Neurogenesis, Neural Stem Cells
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