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Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome.

Authors :
Liu Z
Zhu W
Gnatenko DV
Nesbitt NM
Bahou WF
Source :
Data in brief [Data Brief] 2021 Apr 22; Vol. 36, pp. 107080. Date of Electronic Publication: 2021 Apr 22 (Print Publication: 2021).
Publication Year :
2021

Abstract

Genetic pathways regulating hematopoietic lineage commitment at critical stages of development remain incompletely characterized.  To better delineate genetic sources of variability regulating cellular speciation during steady-state hematopoiesis, we applied a factorial single-cell latent variable model (f-scLVM) to decompose single-cell transcriptome heterogeneity into interpretable biological factors (refined pathway annotations or gene sets without annotation) dynamically regulating cell fate.  Hematopoietic single cell transcriptomic raw sequencing data extracted from 1,920 hematopoietic stem and progenitor cells (HSPCs) derived from 12-week-old female mice were used for data analysis and model development. These single cell RNA sequencing data were subsequently analyzed using the factorial single-cell latent variable model (f-scLVM), with their heterogeneity decomposed into interpretable biological factors. The top biological factors underlying the basal hematopoiesis were subsequently identified for the aggregate, and lineage-restricted (myeloid, megakaryocyte, erythroid) progenitor cells. For a subset of factors, data were independently verified experimentally in a companion research paper [1]. These data facilitate the identification of novel subpopulations and adjust gene sets to discover new marker genes and hidden confounding factors driving basal hematopoiesis.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.<br /> (© 2021 The Author(s). Published by Elsevier Inc.)

Details

Language :
English
ISSN :
2352-3409
Volume :
36
Database :
MEDLINE
Journal :
Data in brief
Publication Type :
Academic Journal
Accession number :
34026977
Full Text :
https://doi.org/10.1016/j.dib.2021.107080