RT Journal Article
SR Electronic
T1 Single-cell transcriptome sequencing of 18,787 human induced pluripotent stem cells identifies differentially primed subpopulations
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 119255
DO 10.1101/119255
A1 Quan H. Nguyen
A1 Samuel W. Lukowski
A1 Han Sheng Chiu
A1 Anne Senabouth
A1 Timothy J. C. Bruxner
A1 Angelika N. Christ
A1 Nathan J. Palpant
A1 Joseph E. Powell
YR 2017
UL http://biorxiv.org/content/early/2017/03/22/119255.abstract
AB For pluripotent stem cells, transcriptional profiling is central to discovering the key genes and gene networks governing the undifferentiated state. However, the heterogeneity of cell states represented in pluripotent cultures have not been described at the transcriptional level. Since gene expression is highly heterogeneous between cells, single-cell RNA sequencing (scRNA-seq) can be used to increase our understanding of how individual pluripotent cells function. Here, we present the scRNA-seq results of 18,787 individual WTC CRISPRi human induced pluripotent stem cells. Four subpopulations were distinguishable on the basis of their pluripotent state including: quiescent (48.3%), proliferative (47.8%), early-primed for differentiation (2.8%) and late-primed for differentiation (1.1%). We identified novel genes and pathways defining each of the subpopulations and developed a multigenic prediction model to accurately classify single cells into subpopulations. This study provides a benchmark single cell dataset that expands our understanding of the cellular complexity of pluripotency.