Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells

Commitment to different fates by differentiating pluripotent cells depends upon integration of external and internal signals. Here the authors analyse the entry of mouse embryonic stem cells into retinoic acid-mediated differentiation using single cell transcriptomics with high temporal resolution.

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Autores principales:	Stefan Semrau, Johanna E. Goldmann, Magali Soumillon, Tarjei S. Mikkelsen, Rudolf Jaenisch, Alexander van Oudenaarden
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/3dd6ae9a564b472e9b62d001d23e4414
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spelling	oai:doaj.org-article:3dd6ae9a564b472e9b62d001d23e44142021-12-02T14:42:43ZDynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells10.1038/s41467-017-01076-42041-1723https://doaj.org/article/3dd6ae9a564b472e9b62d001d23e44142017-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-01076-4https://doaj.org/toc/2041-1723Commitment to different fates by differentiating pluripotent cells depends upon integration of external and internal signals. Here the authors analyse the entry of mouse embryonic stem cells into retinoic acid-mediated differentiation using single cell transcriptomics with high temporal resolution.Stefan SemrauJohanna E. GoldmannMagali SoumillonTarjei S. MikkelsenRudolf JaenischAlexander van OudenaardenNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-16 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Stefan Semrau Johanna E. Goldmann Magali Soumillon Tarjei S. Mikkelsen Rudolf Jaenisch Alexander van Oudenaarden Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
description	Commitment to different fates by differentiating pluripotent cells depends upon integration of external and internal signals. Here the authors analyse the entry of mouse embryonic stem cells into retinoic acid-mediated differentiation using single cell transcriptomics with high temporal resolution.
format	article
author	Stefan Semrau Johanna E. Goldmann Magali Soumillon Tarjei S. Mikkelsen Rudolf Jaenisch Alexander van Oudenaarden
author_facet	Stefan Semrau Johanna E. Goldmann Magali Soumillon Tarjei S. Mikkelsen Rudolf Jaenisch Alexander van Oudenaarden
author_sort	Stefan Semrau
title	Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
title_short	Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
title_full	Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
title_fullStr	Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
title_full_unstemmed	Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
title_sort	dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/3dd6ae9a564b472e9b62d001d23e4414
work_keys_str_mv	AT stefansemrau dynamicsoflineagecommitmentrevealedbysinglecelltranscriptomicsofdifferentiatingembryonicstemcells AT johannaegoldmann dynamicsoflineagecommitmentrevealedbysinglecelltranscriptomicsofdifferentiatingembryonicstemcells AT magalisoumillon dynamicsoflineagecommitmentrevealedbysinglecelltranscriptomicsofdifferentiatingembryonicstemcells AT tarjeismikkelsen dynamicsoflineagecommitmentrevealedbysinglecelltranscriptomicsofdifferentiatingembryonicstemcells AT rudolfjaenisch dynamicsoflineagecommitmentrevealedbysinglecelltranscriptomicsofdifferentiatingembryonicstemcells AT alexandervanoudenaarden dynamicsoflineagecommitmentrevealedbysinglecelltranscriptomicsofdifferentiatingembryonicstemcells
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Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells

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