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The emergent landscape of the mouse gut endoderm at single-cell resolution.
Nowotschin, Sonja; Setty, Manu; Kuo, Ying-Yi; Liu, Vincent; Garg, Vidur; Sharma, Roshan; Simon, Claire S; Saiz, Nestor; Gardner, Rui; Boutet, Stéphane C; Church, Deanna M; Hoodless, Pamela A; Hadjantonakis, Anna-Katerina; Pe'er, Dana.
Afiliação
  • Nowotschin S; Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Setty M; Computational & Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Kuo YY; Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Liu V; Computational & Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Garg V; Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Sharma R; Computational & Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Simon CS; Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Saiz N; Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gardner R; Flow Cytometry Core Facility, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Boutet SC; 10x Genomics, Pleasanton, CA, USA.
  • Church DM; 10x Genomics, Pleasanton, CA, USA.
  • Hoodless PA; Terry Fox Laboratory, BC Cancer, Vancouver, British Columbia, Canada.
  • Hadjantonakis AK; Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. hadj@mskcc.org.
  • Pe'er D; Computational & Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. peerd@mskcc.org.
Nature ; 569(7756): 361-367, 2019 05.
Article em En | MEDLINE | ID: mdl-30959515
ABSTRACT
Here we delineate the ontogeny of the mammalian endoderm by generating 112,217 single-cell transcriptomes, which represent all endoderm populations within the mouse embryo until midgestation. We use graph-based approaches to model differentiating cells, which provides a spatio-temporal characterization of developmental trajectories and defines the transcriptional architecture that accompanies the emergence of the first (primitive or extra-embryonic) endodermal population and its sister pluripotent (embryonic) epiblast lineage. We uncover a relationship between descendants of these two lineages, in which epiblast cells differentiate into endoderm at two distinct time points-before and during gastrulation. Trajectories of endoderm cells were mapped as they acquired embryonic versus extra-embryonic fates and as they spatially converged within the nascent gut endoderm, which revealed these cells to be globally similar but retain aspects of their lineage history. We observed the regionalized identity of cells along the anterior-posterior axis of the emergent gut tube, which reflects their embryonic or extra-embryonic origin, and the coordinated patterning of these cells into organ-specific territories.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Endoderma / Análise de Célula Única / Intestinos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Endoderma / Análise de Célula Única / Intestinos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article