Single-cell RNA-seq reveals dynamic transcriptome profiling in human early neural differentiation
Author(s) -
Zhouchun Shang,
Dongsheng Chen,
Quanlei Wang,
Shengpeng Wang,
Qiuting Deng,
Liang Wu,
Chuanyu Liu,
Xiangning Ding,
Shiyou Wang,
Jixing Zhong,
Doudou Zhang,
Xiaodong Cai,
Shida Zhu,
Huanming Yang,
Longqi Liu,
J. Lynn Fink,
Fang Chen,
Xiaoqing Liu,
Zhengliang Gao,
Xun Xu
Publication year - 2018
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giy117
Subject(s) - transcriptome , profiling (computer programming) , rna seq , computational biology , rna , cellular differentiation , computer science , cell , biology , gene expression , genetics , gene , operating system
Investigating cell fate decision and subpopulation specification in the context of the neural lineage is fundamental to understanding neurogenesis and neurodegenerative diseases. The differentiation process of neural-tube-like rosettes in vitro is representative of neural tube structures, which are composed of radially organized, columnar epithelial cells and give rise to functional neural cells. However, the underlying regulatory network of cell fate commitment during early neural differentiation remains elusive.
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