Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms
RNA splicing is highly prevalent in the brain and has strong links to neuropsychiatric disorders; yet, the role of cell type–specific splicing and transcript-isoform diversity during human brain development has not been systematically investigated. In this work, we leveraged single-molecule long-rea...
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Published in | Science (American Association for the Advancement of Science) Vol. 384; no. 6698; p. eadh7688 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
The American Association for the Advancement of Science
24.05.2024
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Subjects | |
Online Access | Get full text |
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Summary: | RNA splicing is highly prevalent in the brain and has strong links to neuropsychiatric disorders; yet, the role of cell type–specific splicing and transcript-isoform diversity during human brain development has not been systematically investigated. In this work, we leveraged single-molecule long-read sequencing to deeply profile the full-length transcriptome of the germinal zone and cortical plate regions of the developing human neocortex at tissue and single-cell resolution. We identified 214,516 distinct isoforms, of which 72.6% were novel (not previously annotated in Gencode version 33), and uncovered a substantial contribution of transcript-isoform diversity—regulated by RNA binding proteins—in defining cellular identity in the developing neocortex. We leveraged this comprehensive isoform-centric gene annotation to reprioritize thousands of rare de novo risk variants and elucidate genetic risk mechanisms for neuropsychiatric disorders. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Author contributions: A.P., M.J.G., and L.d.l.T.-U. conceived and designed the study. C.K.V. and L.d.l.T.-U. collected and processed the tissue specimens and dissected the samples for processing. A.P. and L.d.l.T.-U. generated the library for scIso-Seq. A.P. processed the single-cell raw data and performed the validation experiments. C.J. and A.P. analyzed bulk tissue Iso-Seq data; C.J. and M.J.G. analyzed bulk tissue isoform switching; P.Z., X.W., and C.L. performed the proteomic analysis; N.G. performed the APA analysis; C.K.V. performed the RBP-associated analysis; C.K.V., L.d.l.T.-U., and M.J.G. conducted network analyses; A.P., C.J., and M.M. performed scIso-Seq analysis; and M.K., D.V., and A.P. performed single-cell isoform-switch analysis. X.G. and J.J.L. performed single-cell DTU analysis; A.P. and L.d.l.T.-U. analyzed the DTU results; and M.J.G., L.d.l.T.-U., P.Z., K.H., C.J., A.P., and B.P. performed the disease enrichment analysis. A.P., C.K.V., M.J.G., and L.d.l.T.-U. interpreted the data. A.P., C.K.V., P.Z., M.J.G., and L.d.l.T.-U. wrote the manuscript. These authors contributed equally to this work. |
ISSN: | 0036-8075 1095-9203 1095-9203 |
DOI: | 10.1126/science.adh7688 |