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

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.

Citation

Chen Weng, Jiajia Xi, Haiyan Li, Jian Cui, Anniya Gu, Sisi Lai, Konstantin Leskov, Luxin Ke, Fulai Jin, Yan Li. Single-cell lineage analysis reveals extensive multimodal transcriptional control during directed beta-cell differentiation. Nature metabolism. 2020 Dec;2(12):1443-1458

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PMID: 33257854

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