4.7 Article

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

期刊

DEVELOPMENT
卷 145, 期 3, 页码 -

出版社

COMPANY BIOLOGISTS LTD
DOI: 10.1242/dev.158501

关键词

RNA-seq; Embryo; Human; Pluripotency; Single cell

资金

  1. Biotechnology and Biological Sciences Research Council (BBSRC) UK [RG53615]
  2. Medical Research Council (MRC) UK [G1001028]
  3. MRC
  4. Wellcome Trust [097922/Z/11/Z]
  5. MRC [MR/P00072X/1, G1001028] Funding Source: UKRI
  6. Medical Research Council [G1001028, MR/P00072X/1] Funding Source: researchfish

向作者/读者索取更多资源

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 naive 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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