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Single-cell transcriptome and accessible chromatin dynamics during endocrine pancreas development.
Duvall, Eliza; Benitez, Cecil M; Tellez, Krissie; Enge, Martin; Pauerstein, Philip T; Li, Lingyu; Baek, Songjoon; Quake, Stephen R; Smith, Jason P; Sheffield, Nathan C; Kim, Seung K; Arda, H Efsun.
Afiliação
  • Duvall E; Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.
  • Benitez CM; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305.
  • Tellez K; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305.
  • Enge M; Department of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305.
  • Pauerstein PT; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305.
  • Li L; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305.
  • Baek S; Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.
  • Quake SR; Department of Bioengineering and Applied Physics, Stanford University, Stanford, CA 94305.
  • Smith JP; Chan Zuckerberg Biohub, San Francisco, CA 94158.
  • Sheffield NC; Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908.
  • Kim SK; Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908.
  • Arda HE; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305.
Proc Natl Acad Sci U S A ; 119(26): e2201267119, 2022 06 28.
Article em En | MEDLINE | ID: mdl-35733248
Delineating gene regulatory networks that orchestrate cell-type specification is a continuing challenge for developmental biologists. Single-cell analyses offer opportunities to address these challenges and accelerate discovery of rare cell lineage relationships and mechanisms underlying hierarchical lineage decisions. Here, we describe the molecular analysis of mouse pancreatic endocrine cell differentiation using single-cell transcriptomics, chromatin accessibility assays coupled to genetic labeling, and cytometry-based cell purification. We uncover transcription factor networks that delineate ß-, α-, and δ-cell lineages. Through genomic footprint analysis, we identify transcription factor-regulatory DNA interactions governing pancreatic cell development at unprecedented resolution. Our analysis suggests that the transcription factor Neurog3 may act as a pioneer transcription factor to specify the pancreatic endocrine lineage. These findings could improve protocols to generate replacement endocrine cells from renewable sources, like stem cells, for diabetes therapy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatina / Ilhotas Pancreáticas / Fatores de Transcrição Hélice-Alça-Hélice Básicos / Transcriptoma / Proteínas do Tecido Nervoso Tipo de estudo: Guideline / Prognostic_studies Limite: Animals Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatina / Ilhotas Pancreáticas / Fatores de Transcrição Hélice-Alça-Hélice Básicos / Transcriptoma / Proteínas do Tecido Nervoso Tipo de estudo: Guideline / Prognostic_studies Limite: Animals Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article