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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131567/ https://www.ncbi.nlm.nih.gov/pubmed/34026977 http://dx.doi.org/10.1016/j.dib.2021.107080 |
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author | Liu, Zhaoyan Zhu, Wei Gnatenko, Dmitri V. Nesbitt, Natasha M. Bahou, Wadie F. |
author_facet | Liu, Zhaoyan Zhu, Wei Gnatenko, Dmitri V. Nesbitt, Natasha M. Bahou, Wadie F. |
author_sort | Liu, Zhaoyan |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8131567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81315672021-05-21 Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome Liu, Zhaoyan Zhu, Wei Gnatenko, Dmitri V. Nesbitt, Natasha M. Bahou, Wadie F. Data Brief Data Article 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. Elsevier 2021-04-22 /pmc/articles/PMC8131567/ /pubmed/34026977 http://dx.doi.org/10.1016/j.dib.2021.107080 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Liu, Zhaoyan Zhu, Wei Gnatenko, Dmitri V. Nesbitt, Natasha M. Bahou, Wadie F. Genetic pathways regulating hematopoietic lineage speciation: Factorial latent variable model analysis of single cell transcriptome |
title | 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_short | 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 |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131567/ https://www.ncbi.nlm.nih.gov/pubmed/34026977 http://dx.doi.org/10.1016/j.dib.2021.107080 |
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