Comprehensive Identification and Spatial Mapping of Habenular Neuronal Types Using Single-Cell RNA-Seq
Name
nihms952360.pdf
Description
Accepted version
Size
1.79 MB
Format
Adobe PDF
Checksum (MD5)
4645d25de0dc27ae496691078e60a709
Author(s)
Regev, Aviv
Date Issued
April 2018
Journal
Current biology
Publisher
Elsevier BV
Citation
Pandey, 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)
Version
Author's final manuscript
Abstract
The 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.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.CUB.2018.02.040
