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Integrated meta-analysis of public human pancreatic single-cell transcriptomes reveals distinct beta-cell state trajectories across aging and diabetes

2026-01-29

Abstract excerpt

<h4>SUMMARY</h4> Human pancreas single-cell RNA sequencing (scRNA-seq) studies have revealed extensive islet heterogeneity, yet cross-study integration remains limited by cohort- and platform-specific effects. Here, we assembled a unified atlas of >266,000 human pancreatic cells by harmonizing 18 publicly available scRNA-seq datasets spanning diverse technologies and donor phenotypes. Trajectory-based analyses re...

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Literature Corpus work
0fd1fd62-5dbc-518f-9c14-60f79e336389
DOI
10.64898/2026.01.27.701674
Open publication

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Integrated meta-analysis of public human pancreatic single-cell transcriptomes reveals distinct beta-cell state trajectories across aging and diabetesDOI 10.64898/2026.01.27.701674
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