Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis

Single-cell RNA sequencing has enabled great advances in understanding developmental biology but reconstructing cellular lineages from this data remains challenging. Here the authors develop an algorithm,dpath, which models the lineage relationships of underlying single cells based on single cell RN...

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Autores principales: Wuming Gong, Tara L. Rasmussen, Bhairab N. Singh, Naoko Koyano-Nakagawa, Wei Pan, Daniel J. Garry
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/26a6e5fde8f54559bc2ee0105ac8cd5d
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spelling oai:doaj.org-article:26a6e5fde8f54559bc2ee0105ac8cd5d2021-12-02T14:41:19ZDpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis10.1038/ncomms143622041-1723https://doaj.org/article/26a6e5fde8f54559bc2ee0105ac8cd5d2017-02-01T00:00:00Zhttps://doi.org/10.1038/ncomms14362https://doaj.org/toc/2041-1723Single-cell RNA sequencing has enabled great advances in understanding developmental biology but reconstructing cellular lineages from this data remains challenging. Here the authors develop an algorithm,dpath, which models the lineage relationships of underlying single cells based on single cell RNA seq data and apply it to study lineage progression of Etv2 expressing progenitors.Wuming GongTara L. RasmussenBhairab N. SinghNaoko Koyano-NakagawaWei PanDaniel J. GarryNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-12 (2017)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Wuming Gong
Tara L. Rasmussen
Bhairab N. Singh
Naoko Koyano-Nakagawa
Wei Pan
Daniel J. Garry
Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis
description Single-cell RNA sequencing has enabled great advances in understanding developmental biology but reconstructing cellular lineages from this data remains challenging. Here the authors develop an algorithm,dpath, which models the lineage relationships of underlying single cells based on single cell RNA seq data and apply it to study lineage progression of Etv2 expressing progenitors.
format article
author Wuming Gong
Tara L. Rasmussen
Bhairab N. Singh
Naoko Koyano-Nakagawa
Wei Pan
Daniel J. Garry
author_facet Wuming Gong
Tara L. Rasmussen
Bhairab N. Singh
Naoko Koyano-Nakagawa
Wei Pan
Daniel J. Garry
author_sort Wuming Gong
title Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis
title_short Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis
title_full Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis
title_fullStr Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis
title_full_unstemmed Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis
title_sort dpath software reveals hierarchical haemato-endothelial lineages of etv2 progenitors based on single-cell transcriptome analysis
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/26a6e5fde8f54559bc2ee0105ac8cd5d
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