Cell ReportsDevelopmental BiologyPeer-reviewed journal article
CRISPR Screening Uncovers a Long-Range Enhancer for ONECUT1 in Pancreatic Differentiation and Links a Diabetes Risk Variant
Samuel J. KaplaniD, Wilfred WongiD, Jielin YaniD, Julián PulecioiD, Hyunwoo ChoiD, Qianzi Li, Jiahui ZhaoiD, Jayanti Leslie-Iyer, Jonathan Kazakov, Dylan MurphyiD, Renhe LuoiD, Kushal K. DeyiD, Effie ApostolouiD, Christina S. LeslieiD, Danwei HuangfuiD
Abstract
Functional enhancer annotation is a valuable first step for understanding tissue-specific transcriptional regulation and prioritizing disease-associated non-coding variants for investigation. However, unbiased enhancer discovery in physiologically relevant contexts remains a major challenge. To discover regulatory elements pertinent to diabetes, we conducted a CRISPR interference screen in the human pluripotent stem cell (hPSC) pancreatic differentiation system. Among the enhancers uncovered, we focused on a long-range enhancer [~]664 kb from the ONECUT1 promoter, since coding mutations in ONECUT1 cause pancreatic hypoplasia and neonatal diabetes. Homozygous enhancer deletion in hPSCs was associated with a near-complete loss of ONECUT1 gene expression and compromised pancreatic differentiation. This enhancer contains a confidently fine-mapped type 2 diabetes associated variant (rs528350911) which disrupts a GATA motif. Introduction of the risk variant into hPSCs revealed substantially reduced binding of key pancreatic transcription factors (GATA4, GATA6 and FOXA2) on the edited allele, accompanied by a slight reduction of ONECUT1 transcription, supporting a causal role for this risk variant in metabolic disease. This work expands our knowledge about transcriptional regulation in pancreatic development through the characterization of a long-range enhancer and highlights the utility of enhancer discovery in disease-relevant settings for understanding monogenic and complex disease.
- organism: human
- assay: CRISPR screen
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- research focus: differential expression
- approach: experimental assay
- Citations
- 13
- FWCI
- 1.77
- Field percentile
- top 15%
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