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

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 m...

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Main Authors: Zhaoyan Liu, Wei Zhu, Dmitri V. Gnatenko, Natasha M. Nesbitt, Wadie F. Bahou
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340921003644
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spelling doaj-4ccd16b1804346d085633681de5f2b232021-06-27T04:38:15ZengElsevierData in Brief2352-34092021-06-0136107080Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptomeZhaoyan Liu0Wei Zhu1Dmitri V. Gnatenko2Natasha M. Nesbitt3Wadie F. Bahou4Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794 (USA); Corresponding author.Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794 (USA); Corresponding author.Department of Medicine, Stony Brook University, Stony Brook, NY 11794 (USA)Department of Medicine, Stony Brook University, Stony Brook, NY 11794 (USA)Department of Medicine, Stony Brook University, Stony Brook, NY 11794 (USA); Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2352340921003644Single-cell RNA sequencing analysisPathway annotationFactor analysisSpatial reconstruction
collection DOAJ
language English
format Article
sources DOAJ
author Zhaoyan Liu
Wei Zhu
Dmitri V. Gnatenko
Natasha M. Nesbitt
Wadie F. Bahou
spellingShingle Zhaoyan Liu
Wei Zhu
Dmitri V. Gnatenko
Natasha M. Nesbitt
Wadie F. Bahou
Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome
Data in Brief
Single-cell RNA sequencing analysis
Pathway annotation
Factor analysis
Spatial reconstruction
author_facet Zhaoyan Liu
Wei Zhu
Dmitri V. Gnatenko
Natasha M. Nesbitt
Wadie F. Bahou
author_sort Zhaoyan Liu
title Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome
title_short Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome
title_full Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome
title_fullStr Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome
title_full_unstemmed Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome
title_sort genetic pathways regulating hematopoietic lineage speciation: factorial latent variable model analysis of single cell transcriptome
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2021-06-01
description 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.
topic Single-cell RNA sequencing analysis
Pathway annotation
Factor analysis
Spatial reconstruction
url http://www.sciencedirect.com/science/article/pii/S2352340921003644
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