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Clinical and Translational Medicine
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Open Access 01-12-2017 | Review

Single-cell RNA-sequencing of the brain

Authors: Raquel Cuevas-Diaz Duran, Haichao Wei, Jia Qian Wu

Published in: Clinical and Translational Medicine | Issue 1/2017

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Abstract

Single-cell RNA-sequencing (scRNA-seq) is revolutionizing our understanding of the genomic, transcriptomic and epigenomic landscapes of cells within organs. The mammalian brain is composed of a complex network of millions to billions of diverse cells with either highly specialized functions or support functions. With scRNA-seq it is possible to comprehensively dissect the cellular heterogeneity of brain cells, and elucidate their specific functions and state. In this review, we describe the current experimental methods used for scRNA-seq. We also review bioinformatic tools and algorithms for data analyses and discuss critical challenges. Additionally, we summarized recent mouse brain scRNA-seq studies and systematically compared their main experimental approaches, computational tools implemented, and important findings. scRNA-seq has allowed researchers to identify diverse cell subpopulations within many brain regions, pinpointing gene signatures and novel cell markers, as well as addressing functional differences. Due to the complexity of the brain, a great deal of work remains to be accomplished. Defining specific brain cell types and functions is critical for understanding brain function as a whole in development, health, and diseases.
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Metadata
Title
Single-cell RNA-sequencing of the brain
Authors
Raquel Cuevas-Diaz Duran
Haichao Wei
Jia Qian Wu
Publication date
01-12-2017
Publisher
Springer Berlin Heidelberg
Published in
Clinical and Translational Medicine / Issue 1/2017
Electronic ISSN: 2001-1326
DOI
https://doi.org/10.1186/s40169-017-0150-9

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