Single-cell gene expression analysis reveals regulators of distinct cell subpopulations among developing human neurons.
Genome Res
; 27(11): 1783-1794, 2017 11.
Article
em En
| MEDLINE
| ID: mdl-29030469
ABSTRACT
The stochastic dynamics and regulatory mechanisms that govern differentiation of individual human neural precursor cells (NPC) into mature neurons are currently not fully understood. Here, we used single-cell RNA-sequencing (scRNA-seq) of developing neurons to dissect/identify NPC subtypes and critical developmental stages of alternative lineage specifications. This study comprises an unsupervised, high-resolution strategy for identifying cell developmental bifurcations, tracking the stochastic transcript kinetics of the subpopulations, elucidating regulatory networks, and finding key regulators. Our data revealed the bifurcation and developmental tracks of the two NPC subpopulations, and we captured an early (24 h) transition phase that leads to alternative neuronal specifications. The consequent up-regulation and down-regulation of stage- and subpopulation-specific gene groups during the course of maturation revealed biological insights with regard to key regulatory transcription factors and lincRNAs that control cellular programs in the identified neuronal subpopulations.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Análise de Sequência de RNA
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Perfilação da Expressão Gênica
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Redes Reguladoras de Genes
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Células-Tronco Neurais
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Análise de Célula Única
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article