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RNA-binding proteins in neurodegeneration: Seq and you shall receive
Open accessAbstract
As critical players in gene regulation, RNA binding proteins (RBPs) are taking center stage in our understanding of cellular function and disease. In our era of bench-top sequencers and unprecedented computational power, biological questions can be addressed in a systematic, genome-wide manner. Development of high-throughput sequencing (Seq) methodologies provides unparalleled potential to discover new mechanisms of disease-associated perturbations of RNA homeostasis. Complementary to candidate single-gene studies, these innovative technologies may elicit the discovery of unexpected mechanisms, and enable us to determine the widespread influence of the multifunctional RBPs on their targets. Given that the disruption of RNA processing is increasingly implicated in neurological diseases, these approaches will continue to provide insights into the roles of RBPs in disease pathogenesis.
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“The advent of whole genome analyses10,12,188,189 brought a new appreciation of its pervasiveness and regulatory reach in metazoan organisms190,191.”
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Cites
In vitro selection of RNA molecules that bind specific ligands
Ellington, A. D., & Szostak, J. W. (1990) · Nature · doi:10.1038/346818a0 · Cited by 9,845
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
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dominissini, D., Moshitch-Moshkovitz, S., Schwartz, S., Salmon-Divon, M., Ungar, L., Osenberg, S., Cesarkas, K., Jacob-Hirsch, J., Amariglio, N., Kupiec, M., et al. (2012) · Nature · doi:10.1038/nature11112 · Cited by 4,884
N6-methyladenosine-dependent regulation of messenger RNA stability
Wang, X., Lu, Z., Gomez, A., Hon, G. C., Yue, Y., Han, D., Fu, Y., Parisien, M., Dai, Q., Jia, G., et al. (2014) · Nature · doi:10.1038/nature12730 · Cited by 4,558
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
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
Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853
Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP
Hafner, M., Landthaler, M., Burger, L., Khorshid, M., Hausser, J., Berninger, P., Rothballer, A., Ascano, M., Jungkamp, A.-C., Munschauer, M., et al. (2010) · Cell · doi:10.1016/j.cell.2010.03.009 · Cited by 2,873
Insights into RNA Biology from an Atlas of Mammalian mRNA-Binding Proteins
Castello, A., Fischer, B., Eichelbaum, K., Horos, R., Beckmann, B. M., Strein, C., Davey, N. E., Humphreys, D. T., Preiss, T., Steinmetz, L. M., et al. (2012) · Cell · doi:10.1016/j.cell.2012.04.031 · Cited by 2,132
FMRP Stalls Ribosomal Translocation on mRNAs Linked to Synaptic Function and Autism
Darnell, J. C., Van Driesche, S. J., Zhang, C., Hung, K. Y. S., Mele, A., Fraser, C. E., Stone, E. F., Chen, C., Fak, J. J., Chi, S. W., et al. (2011) · Cell · doi:10.1016/j.cell.2011.06.013 · Cited by 2,072
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Self-citationA large-scale binding and functional map of human RNA-binding proteins
Van Nostrand, E. L., Freese, P., Pratt, G. A., Wang, X., Wei, X., Xiao, R., Blue, S. M., Chen, J.-Y., Cody, N. A. L., Dominguez, D., et al. (2020) · Nature · doi:10.1038/s41586-020-2077-3 · Cited by 1,317
Self-citationPhysiological functions and pathobiology of TDP ‐43 and FUS / TLS proteins
Ratti, A., & Buratti, E. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13625 · Cited by 417
The neurogenetics of alternative splicing
Vuong, C. K., Black, D. L., & Zheng, S. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.27 · Cited by 340
The m6A epitranscriptome: transcriptome plasticity in brain development and function
Livneh, I., Moshitch-Moshkovitz, S., Amariglio, N., Rechavi, G., & Dominissini, D. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0244-z · Cited by 330
Disruption of RNA Metabolism in Neurological Diseases and Emerging Therapeutic Interventions
Nussbacher, J. K., Tabet, R., Yeo, G. W.-M., & Lagier‐Tourenne, C. (2019) · Neuron · doi:10.1016/j.neuron.2019.03.014 · Cited by 271
Self-citationEmerging Roles of Disordered Sequences in RNA-Binding Proteins
Calabretta, S., & Richard, S. (2015) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.08.012 · Cited by 246
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López‐Erauskin, J., Tadokoro, T., Baughn, M. W., Myers, B., McAlonis‐Downes, M., Chillón-Marinas, C., Asiaban, J. N., Artates, J. W., Bui, A. T., Vetto, A. P., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.044 · Cited by 233
Self-citationRNA-binding proteins in neurodegeneration: mechanisms in aggregatePreprint
Conlon, E. G., & Manley, J. L. (2017) · Genes & Development · doi:10.1101/gad.304055.117 · Cited by 229
Genetic mutations in RNA-binding proteins and their roles in ALS
Kapeli, K., Martinez, F. J., & Yeo, G. W.-M. (2017) · Human Genetics · doi:10.1007/s00439-017-1830-7 · Cited by 225
Self-citationDefective control of pre–messenger RNA splicing in human disease
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Protein-RNA Networks Regulated by Normal and ALS-Associated Mutant HNRNPA2B1 in the Nervous System
Martinez, F. J., Pratt, G. A., Nostrand, E. L. V., Batra, R., Huelga, S. C., Kapeli, K., Freese, P., Chun, S. J., Ling, K., Gelboin-Burkhart, C. A., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.050 · Cited by 178
Self-citationTranscriptome-wide discovery of coding and noncoding RNA-binding proteins
Huang, R., Han, M., Meng, L., & Chen, X. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718406115 · Cited by 163
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Wheeler, E. C., Nostrand, E. L. V., & Yeo, G. W.-M. (2017) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1436 · Cited by 164
Self-citationThe m6A‐epitranscriptomic signature in neurobiology: from neurodevelopment to brain plasticity
Widagdo, J., & Anggono, V. (2018) · Journal of Neurochemistry · doi:10.1111/jnc.14481 · Cited by 157
Resources for the Comprehensive Discovery of Functional RNA Elements
Sundararaman, B., Zhan, L., Blue, S. M., Stanton, R., Elkins, K., Olson, S., Wei, X., Nostrand, E. L. V., Pratt, G. A., Huelga, S. C., et al. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.02.012 · Cited by 138
Self-citationAlternative splicing: the pledge, the turn, and the prestige
Gallego-Paez, L. M., Bordone, M. C., Leote, A. C., Saraiva-Agostinho, N., Ascensão-Ferreira, M., & Barbosa‐Morais, N. L. (2017) · Human Genetics · doi:10.1007/s00439-017-1790-y · Cited by 143
Advances in the characterization of RNA‐binding proteins
Marchese, D., de Groot, N. S., Lorenzo-Gotor, N., Livi, C. M., & Tartaglia, G. G. (2016) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1378 · Cited by 123
Gonatopoulos-Pournatzis, T., Niibori, R., Salter, E. W., Weatheritt, R. J., Tsang, B., Farhangmehr, S., Liang, X., Braunschweig, U., Roth, J. F., Zhang, S., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.01.006 · Cited by 120
Montalbano, M., McAllen, S., Cascio, F. L., Sengupta, U., García, S., Bhatt, N. N., Ellsworth, A., Heidelman, E. A., Johnson, O. D., Doskocil, S. D., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105130 · Cited by 107
Imaging mRNA and protein interactions within neurons
Eliscovich, C., Shenoy, S. M., & Singer, R. H. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1621440114 · Cited by 99
Transcriptome-wide identification of RNA-binding protein binding sites using seCLIP-seq
Blue, S. M., Yee, B. A., Pratt, G. A., Mueller, J. R., Park, S. S., Shishkin, A. A., Starner, A. C., Nostrand, E. L. V., & Yeo, G. W.-M. (2022) · Nature Protocols · doi:10.1038/s41596-022-00680-z · Cited by 91
Self-citationMechanistic implications of enhanced editing by a HyperTRIBE RNA-binding protein
Xu, W., Rahman, R., & Rosbash, M. (2017) · RNA · doi:10.1261/rna.064691.117 · Cited by 88
RNA-binding proteins Musashi and tau soluble aggregates initiate nuclear dysfunction
Montalbano, M., McAllen, S., Puangmalai, N., Sengupta, U., Bhatt, N. N., Johnson, O. D., Kharas, M. G., & Kayed, R. (2020) · Nature Communications · doi:10.1038/s41467-020-18022-6 · Cited by 86
Mohagheghi, F., Prudencio, M., Stuani, C., Cook, C. N., Jansen‐West, K. R., Dickson, D. W., Petrucelli, L., & Buratti, E. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv491 · Cited by 84
Lang, D. G., Schott, B. H., van Ham, M., Morton, L., Kulikovskaja, L., Herrera‐Molina, R., Pielot, R., Klawonn, F., Montag, D., Jänsch, L., et al. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1242-1 · Cited by 77
Quadros, A. R. A. D. A., Li, Z., Wang, X., Ndayambaje, I. S., Aryal, S., Ramesh, N., Nolan, M., Jayakumar, R., Han, Y., Stillman, H., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-023-02655-0 · Cited by 79
Self-citationAppocher, C., Mohagheghi, F., Cappelli, S., Stuani, C., Romano, M., Feiguin, F. M., & Buratti, E. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx477 · Cited by 76
RNA on the brain: emerging layers of post‐transcriptional regulation in cerebral cortex development
Lennox, A. L., Mao, H., & Silver, D. L. (2017) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.290 · Cited by 73
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Chakrabarti, A. M., Haberman, N., Praznik, A., Luscombe, N. M., & Ule, J. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-080917-013525 · Cited by 71
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Rybak‐Wolf, A., & Plass, M. (2021) · Molecules · doi:10.3390/molecules26175113 · Cited by 72
Hayakawa‐Yano, Y., Suyama, S., Nogami, M., Yugami, M., Koya, I., Furukawa, T., Zhou, L., Abe, M., Sakimura, K., Takebayashi, H., et al. (2017) · Genes & Development · doi:10.1101/gad.300822.117 · Cited by 63
Genetically encoded chemical crosslinking of RNA in vivo
Sun, W., Wang, N., Liu, H., Yu, B., Jin, L., Ren, X., Shen, Y., & Wang, L. (2022) · Nature Chemistry · doi:10.1038/s41557-022-01038-4 · Cited by 60
Alternative Polyadenylation: Another Foe in Cancer
Erson-Bensan, A. E., & Can, T. (2016) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-15-0489 · Cited by 57
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Cao, L., & Wang, L. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00066 · Cited by 53
Cook, K. B., Vembu, S., Ha, K., Zheng, H., Laverty, K. U., Hughes, T. R., Ray, D., & Morris, Q. (2017) · Methods · doi:10.1016/j.ymeth.2017.06.024 · Cited by 46
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Lovci, M., Bengtson, M. H., & Massirer, K. B. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-29073-7_12 · Cited by 46
Regulatory genes and pathways disrupted in autism spectrum disorders
Ayhan, F., & Konopka, G. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.08.017 · Cited by 46
A Novel RNA Binding Protein-Related Prognostic Signature for Hepatocellular Carcinoma
Huang, Y., Chen, S., Qin, W., Wang, Y., Li, L., Li, Q., & Yuan, X. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.580513 · Cited by 42
Park, S. J., Lee, H., Jo, D. S., Jo, Y. K., Shin, J. H., Kim, H. B., Seo, H. M., Rubinsztein, D. C., Koh, J., Lee, E. K., et al. (2015) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2015.10.017 · Cited by 42
Battaglia-Hsu, S.-F., Ghemrawi, R., Coelho, D., Dreumont, N., Mosca, P., Hergalant, S., Gauchotte, G., Sequeira, J. M., Ndiongue, M., Houlgatte, R., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky634 · Cited by 41
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Salloum‐Asfar, S., Satheesh, N. J., & Abdulla, S. A. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00253 · Cited by 41
Zhu, L., Kandasamy, S. K., Liao, S. E., & Fukunaga, R. (2018) · Nature Communications · doi:10.1038/s41467-018-06404-w · Cited by 40
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Jung, M., & Lee, E. K. (2021) · Biology · doi:10.3390/biology10050361 · Cited by 39
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Self-citationNorris, A. D., Gracida, X., & Calarco, J. A. (2017) · eLife · doi:10.7554/elife.28129 · Cited by 36
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Wang, G., Ang, C. E., Fan, J., Wang, A., Moffitt, J. R., & Zhuang, X. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.07.414060 · Cited by 33
Aditi, A., Glass, L., Dawson, T. R., & Wente, S. R. (2015) · Advances in Biological Regulation · doi:10.1016/j.jbior.2015.11.001 · Cited by 28
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Mullari, M., Fossat, N., Skotte, N. H., Asenjo-Martínez, A., Humphreys, D. T., Bukh, J., Kirkeby, A., Scheel, T. K. H., & Nielsen, M. L. (2023) · Nature Communications · doi:10.1038/s41467-023-39936-x · Cited by 17
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Alsina, F. C., Lupan, B. M., Lin, L. J., Musso, C. M., Mosti, F., Newman, C. R., Wood, L. M., Suzuki, A., Agostino, M., Moore, J. K., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114666 · Cited by 15
Networks of mRNA Processing and Alternative Splicing Regulation in Health and Disease
Jordan, P., Gonçalves, V., Fernandes, S., Marques, T. M., Pereira, M. H. N., & Gama‐Carvalho, M. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-19966-1_1 · Cited by 16
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Self-citationEvolution, immunity and the emergence of brain superautoantigens
Nataf, S. (2017) · F1000Research · doi:10.12688/f1000research.10950.1 · Cited by 13
Huang, R., Han, M., Meng, L., & Chen, X. (2018) · Journal of Visualized Experiments · doi:10.3791/58580 · Cited by 14
Honda, T., Nakagawa, T., Yuasa, T., Tokuda, Y., Nakano, M., Tashiro, K., Tourtas, T., Schlötzer-Schrehardt, U. M., Kruse, F. E., Yamamoto, K., et al. (2024) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.65.6.27 · Cited by 12
Sibley, C. R. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7213-5_29 · Cited by 12
Alqawlaq, S., Livne‐Bar, I., Williams, D., D'Ercole, J., Leung, S. W., Chan, D. W.-H., Tuccitto, A., Datti, A., Wrana, J. L., Corbett, A. H., et al. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.015389 · Cited by 15
Wu, L.-L., Zhao, Z., Shin, Y., Yin, Y.-Y., Raju, A., Vaiyapuri, T., Idzham, K., Son, M., Lee, Y., Sa, J., et al. (2024) · Nature Cell Biology · doi:10.1038/s41556-024-01428-5 · Cited by 9
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Heyl, F., Maticzka, D., Uhl, M., & Backofen, R. (2020) · GigaScience · doi:10.1093/gigascience/giaa108 · Cited by 13
Olesnicky, E. C., Antonacci, S., Popitsch, N. P., Lybecker, M. C., Titus, M. B., Valadez, R., Derkach, P. G., Marean, A., Miller, K., Mathai, S. K., et al. (2018) · Developmental Biology · doi:10.1016/j.ydbio.2018.09.022 · Cited by 11
Yang, L., Yuan, Z., Li, Y., Yang, S., & Yu, B. (2024) · Medicinal Chemistry Research · doi:10.1007/s00044-024-03255-7 · Cited by 9
Chen, F., & Keleş, S. (2020) · Genome biology · doi:10.1186/s13059-020-02039-7 · Cited by 8
Identification and Analysis of Key Residues in Protein–RNA Complexes
Kulandaisamy, A., Srivastava, A., Kumar, P., Nagarajan, R., Priya, S. B., & Gromiha, M. M. (2018) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2018.2834387 · Cited by 7
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Reynolds, R. H., Hardy, J., Ryten, M., & Taliun, S. A. G. (2019) · Brain · doi:10.1093/brain/awz295 · Cited by 8
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Alsina, F. C., & Silver, D. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814405-3.00028-x · Cited by 6
Stronati, E., Biagioni, S., Fiore, M., Giorgi, M., Poiana, G., Toselli, C., & Cacci, E. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22147566 · Cited by 7
RNA processing-associated molecular mechanisms of neurodegenerative diseases
Tang, A. Y. (2015) · Journal of Applied Genetics · doi:10.1007/s13353-015-0330-5 · Cited by 6
Breunig, K., Lei, X., Montalbano, M., Guardia, G. D. A., Ostadrahimi, S., Alers, V. A., Kosti, A., Chiou, J., Klein, N., Vinarov, C., et al. (2025) · eLife · doi:10.7554/elife.98152.3 · Cited by 5
The minor spliceosome could be the major key for FUS/TLS mutants in ALS
Buratti, E. (2016) · The EMBO Journal · doi:10.15252/embj.201694763 · Cited by 5
Programmable macromolecule-based RNA-targeting therapies to treat human neurological disorders
Morelli, K. H., Smargon, A. A., & Yeo, G. W.-M. (2023) · RNA · doi:10.1261/rna.079519.122 · Cited by 4
Self-citationBreunig, K., Lei, X., Montalbano, M., Guardia, G. D. A., Ostadrahimi, S., Alers, V. A., Kosti, A., Chiou, J., Klein, N., Vinarov, C., et al. (2024) · eLife · doi:10.7554/elife.98152 · Cited by 4
da Silva, L. A. G., & Dormann, D. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2663-4_16 · Cited by 3
Evolving views of human genetic variation and its relationship to neurologic and psychiatric disease
Geschwind, D. H. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63233-3.00004-x · Cited by 3
Data Science Issues in Understanding Protein-RNA InteractionsPreprint
Chakrabarti, A. M., Haberman, N., Praznik, A., Luscombe, N. M., & Ule, J. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/208124 · Cited by 3
Gingrich, E. C., Shepard, K. A., Mitchell, M. E., Sawicka, K., Darnell, J. C., & Akins, M. R. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/462168 · Cited by 3
Lee, B., Lee, J.-Y., Jeon, Y., Kim, H., Kwon, M., Shin, J. E., & Cho, Y. (2021) · Research Square · doi:10.21203/rs.3.rs-269886/v1 · Cited by 2
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Elhajjajy, S. I., & Weng, Z. (2026) · RNA · doi:10.1261/rna.080892.125 · Cited by 1
Lee, B., Lee, J.-Y., Jeon, Y., Jang, E., Oh, Y., Kim, H., Kwon, M., Shin, J. E., & Cho, Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.19.431965 · Cited by 2
Breunig, K., Lei, X., Montalbano, M., Guardia, G. D. A., Ostadrahimi, S., Alers, V. A., Kosti, A., Chiou, J., Klein, N., Vinarov, C., et al. (2025) · eLife · doi:10.7554/elife.98152.2 · Cited by 2
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Self-citationAmera, G. M., Canarutto, G., Muthukumaran, J., Singh, A. K., Buratti, E., Cacciatore, S., & Piazza, S. (2026) · Chemical Physics Impact · doi:10.1016/j.chphi.2026.101108 · Cited by 1
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Wang, Z., & Xie, Y. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819414-0.00024-0 · Cited by 1
Wolozin, B. L. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.07.016
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Metadata
- Authors
- Nussbacher, J. K., Batra, R., Lagier-Tourenne, C., & Yeo, G. W.
- Affiliations
- University of California San Diego (US)
- National University of Singapore (SG)
- Corresponding author
- Yeo, Gene W.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 38
- Issue
- 4
- Pages
- 226-236
- ISSN
- 0166-2236 (ISSN-L)
- PMC
- PMC4403644
- OpenAlex
- W2170944200
- Cited by
- 115
- References
- 128
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 15 · 2023: 2 · 2022: 6 · 2021: 7 · 2020: 16 · 2019: 9 · 2018: 17 · 2017: 14 · 2016: 13 · 2015: 6
- FWCI
- 1.62
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Trends in Neurosciences (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (P50AG005131)
- National Human Genome Research Institute (HG004659, R01HG004659, U54HG007005)
- National Institute of Neurological Disorders and Stroke (R01NS075449, R01NS087227, NS075449)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- RNA-binding proteins, neurodegeneration, RNA homeostasis, RNA processing, next-generation sequencing, genome-wide characterization, gene expression regulation, pathogenesis
- MeSH terms
- Animals, Humans, RNA Processing, Post-Transcriptional, RNA-Binding Proteins, Neurodegenerative Diseases, High-Throughput Nucleotide Sequencing
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