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dc.contributor.authorRegev, Aviv
dc.date.accessioned2020-05-06T15:57:15Z
dc.date.available2020-05-06T15:57:15Z
dc.date.issued2018-04
dc.identifier.issn0960-9822
dc.identifier.urihttps://hdl.handle.net/1721.1/125056
dc.description.abstractThe identification of cell types and marker genes is critical for dissecting neural development and function, but the size and complexity of the brain has hindered the comprehensive discovery of cell types. We combined single-cell RNA-seq (scRNA-seq) with anatomical brain registration to create a comprehensive map of the zebrafish habenula, a conserved forebrain hub involved in pain processing and learning. Single-cell transcriptomes of ∼13,000 habenular cells with 4× cellular coverage identified 18 neuronal types and dozens of marker genes. Registration of marker genes onto a reference atlas created a resource for anatomical and functional studies and enabled the mapping of active neurons onto neuronal types following aversive stimuli. Strikingly, despite brain growth and functional maturation, cell types were retained between the larval and adult habenula. This study provides a gene expression atlas to dissect habenular development and function and offers a general framework for the comprehensive characterization of other brain regions. Pandey et al. use scRNA-seq to define more than a dozen different neuronal types in the zebrafish habenula. Cell types are retained between larva and adult.en_US
dc.description.sponsorshipNational Institute of Mental Health (U.S.) (Grant U01MH109560)en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.CUB.2018.02.040en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleComprehensive Identification and Spatial Mapping of Habenular Neuronal Types Using Single-Cell RNA-Seqen_US
dc.typeArticleen_US
dc.identifier.citationPandey, Shristi et al. “Comprehensive Identification and Spatial Mapping of Habenular Neuronal Types Using Single-Cell RNA-Seq.” Current biology 28 (2018): 1052-1065.e7 © 2018 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journalCurrent biologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-01-28T14:04:15Z
dspace.date.submission2020-01-28T14:04:17Z
mit.journal.volume28en_US
mit.journal.issue7en_US
mit.metadata.statusComplete


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