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Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast

Single-cell profiling techniques create opportunities to delineate cell fate progression in mammalian development. Recent studies have provided transcriptome data from human pre-implantation embryos, in total comprising nearly 2000 individual cells. Interpretation of these data is confounded by biol...

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Autores principales: Stirparo, Giuliano G., Boroviak, Thorsten, Guo, Ge, Nichols, Jennifer, Smith, Austin, Bertone, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818005/
https://www.ncbi.nlm.nih.gov/pubmed/29361568
http://dx.doi.org/10.1242/dev.158501
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author Stirparo, Giuliano G.
Boroviak, Thorsten
Guo, Ge
Nichols, Jennifer
Smith, Austin
Bertone, Paul
author_facet Stirparo, Giuliano G.
Boroviak, Thorsten
Guo, Ge
Nichols, Jennifer
Smith, Austin
Bertone, Paul
author_sort Stirparo, Giuliano G.
collection PubMed
description Single-cell profiling techniques create opportunities to delineate cell fate progression in mammalian development. Recent studies have provided transcriptome data from human pre-implantation embryos, in total comprising nearly 2000 individual cells. Interpretation of these data is confounded by biological factors, such as variable embryo staging and cell-type ambiguity, as well as technical challenges in the collective analysis of datasets produced with different sample preparation and sequencing protocols. Here, we address these issues to assemble a complete gene expression time course spanning human pre-implantation embryogenesis. We identify key transcriptional features over developmental time and elucidate lineage-specific regulatory networks. We resolve post-hoc cell-type assignment in the blastocyst, and define robust transcriptional prototypes that capture epiblast and primitive endoderm lineages. Examination of human pluripotent stem cell transcriptomes in this framework identifies culture conditions that sustain a naïve state pertaining to the inner cell mass. Our approach thus clarifies understanding both of lineage segregation in the early human embryo and of in vitro stem cell identity, and provides an analytical resource for comparative molecular embryology.
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spelling pubmed-58180052018-02-28 Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast Stirparo, Giuliano G. Boroviak, Thorsten Guo, Ge Nichols, Jennifer Smith, Austin Bertone, Paul Development Human Development Single-cell profiling techniques create opportunities to delineate cell fate progression in mammalian development. Recent studies have provided transcriptome data from human pre-implantation embryos, in total comprising nearly 2000 individual cells. Interpretation of these data is confounded by biological factors, such as variable embryo staging and cell-type ambiguity, as well as technical challenges in the collective analysis of datasets produced with different sample preparation and sequencing protocols. Here, we address these issues to assemble a complete gene expression time course spanning human pre-implantation embryogenesis. We identify key transcriptional features over developmental time and elucidate lineage-specific regulatory networks. We resolve post-hoc cell-type assignment in the blastocyst, and define robust transcriptional prototypes that capture epiblast and primitive endoderm lineages. Examination of human pluripotent stem cell transcriptomes in this framework identifies culture conditions that sustain a naïve state pertaining to the inner cell mass. Our approach thus clarifies understanding both of lineage segregation in the early human embryo and of in vitro stem cell identity, and provides an analytical resource for comparative molecular embryology. The Company of Biologists Ltd 2018-02-01 /pmc/articles/PMC5818005/ /pubmed/29361568 http://dx.doi.org/10.1242/dev.158501 Text en © 2018. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Human Development
Stirparo, Giuliano G.
Boroviak, Thorsten
Guo, Ge
Nichols, Jennifer
Smith, Austin
Bertone, Paul
Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast
title Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast
title_full Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast
title_fullStr Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast
title_full_unstemmed Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast
title_short Integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast
title_sort integrated analysis of single-cell embryo data yields a unified transcriptome signature for the human pre-implantation epiblast
topic Human Development
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818005/
https://www.ncbi.nlm.nih.gov/pubmed/29361568
http://dx.doi.org/10.1242/dev.158501
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