Single-cell lineage analysis reveals extensive multimodal transcriptional control during directed beta-cell differentiation

التفاصيل البيبلوغرافية
العنوان: Single-cell lineage analysis reveals extensive multimodal transcriptional control during directed beta-cell differentiation
المؤلفون: Chen Weng, Yan Li, Konstantin Leskov, Fulai Jin, Sisi Lai, Luxin Ke, Anniya Gu, Jian Cui, Haiyan Li, Jiajia Xi
المصدر: Nature metabolism
بيانات النشر: Springer Science and Business Media LLC, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Endocrinology, Diabetes and Metabolism, Cell fate determination, Biology, Article, Transcriptome, Diabetes mellitus genetics, Insulin-Secreting Cells, Physiology (medical), Insulin Secretion, Diabetes Mellitus, Internal Medicine, Transcriptional regulation, Humans, Cell Lineage, Enhancer, Gene, Embryonic Stem Cells, Regulation of gene expression, Gene Expression Regulation, Developmental, Cell Differentiation, Cell Biology, Embryonic stem cell, Cell biology, Glucose, Gene Knockdown Techniques, Transcription Factor HES-1, Transcription Factor 7-Like 2 Protein, Genes, Switch
الوصف: The in vitro differentiation of insulin-producing beta-like cells can model aspects of human pancreatic development. Here, we generate 95,308 single-cell transcriptomes and reconstruct a lineage tree of the entire differentiation process from human embryonic stem cells to beta-like cells to study temporally regulated genes during differentiation. We identify so-called 'switch genes' at the branch point of endocrine/non-endocrine cell fate choice, revealing insights into the mechanisms of differentiation-promoting reagents, such as NOTCH and ROCKII inhibitors, and providing improved differentiation protocols. Over 20% of all detectable genes are activated multiple times during differentiation, even though their enhancer activation is usually unimodal, indicating extensive gene reuse driven by different enhancers. We also identify a stage-specific enhancer at the TCF7L2 locus for diabetes, uncovered by genome-wide association studies, that drives a transient wave of gene expression in pancreatic progenitors. Finally, we develop a web app to visualize gene expression on the lineage tree, providing a comprehensive single-cell data resource for researchers studying islet biology and diabetes.
تدمد: 2522-5812
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fbf12a2b485d3f50c94b6c0ebfaef7eTest
https://doi.org/10.1038/s42255-020-00314-2Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....4fbf12a2b485d3f50c94b6c0ebfaef7e
قاعدة البيانات: OpenAIRE