Integrating genetics with single-cell multiomic measurements across disease states identifies mechanisms of beta cell dysfunction in type 2 diabetes

Dysfunctional pancreatic islet beta cells are a hallmark of type 2 diabetes (T2D), but a comprehensive understanding of the underlying mechanisms, including gene dysregulation, is lacking. Here we integrate information from measurements of chromatin accessibility, gene expression and function in sin...

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Veröffentlicht in:	Nature genetics 2023-06, Vol.55 (6), p.984-994
Hauptverfasser:	Wang, Gaowei, Chiou, Joshua, Zeng, Chun, Miller, Michael, Matta, Ileana, Han, Jee Yun, Kadakia, Nikita, Okino, Mei-Lin, Beebe, Elisha, Mallick, Medhavi, Camunas-Soler, Joan, dos Santos, Theodore, Dai, Xiao-Qing, Ellis, Cara, Hang, Yan, Kim, Seung K., MacDonald, Patrick E., Kandeel, Fouad R., Preissl, Sebastian, Gaulton, Kyle J., Sander, Maike
Format:	Artikel
Sprache:	eng
Schlagworte:	38/23 45/91 631/208/177 631/553/1833 692/699/2743/137/773 Accessibility Accuracy Agriculture Animal Genetics and Genomics Beta cells Biomedical and Life Sciences Biomedicine Cancer Research Cell activation Cells Chromatin Chromatin - metabolism Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - genetics Disease Gene expression Gene Expression Regulation Gene Function Genetics Human Genetics Humans Information processing Insulin-Secreting Cells - metabolism Learning algorithms Machine learning Multiomics Transcription activation Variance analysis
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