Author
Listed:
- Romina J. Bevacqua
(Stanford University School of Medicine)
- Xiaoqing Dai
(University of Alberta)
- Jonathan Y. Lam
(Stanford University School of Medicine)
- Xueying Gu
(Stanford University School of Medicine)
- Mollie S. H. Friedlander
(Stanford University School of Medicine)
- Krissie Tellez
(Stanford University School of Medicine)
- Irene Miguel-Escalada
(Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST)
Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM))
- Silvia Bonàs-Guarch
(Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST)
Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM))
- Goutham Atla
(Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST)
Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM))
- Weichen Zhao
(Stanford University School of Medicine)
- Seung Hyun Kim
(Stanford University School of Medicine)
- Antonia A. Dominguez
(Stanford University
Stanford University)
- Lei S. Qi
(Stanford University
Stanford University
Chem-H, Stanford University)
- Jorge Ferrer
(Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST)
Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM)
Section of Genetics and Genomics, Imperial College London)
- Patrick E. MacDonald
(University of Alberta)
- Seung K. Kim
(Stanford University School of Medicine
Stanford University School of Medicine
Northern California JDRF Center of Excellence, Stanford University School of Medicine
Stanford Diabetes Research Center, Stanford University School of Medicine)
Abstract
Gene targeting studies in primary human islets could advance our understanding of mechanisms driving diabetes pathogenesis. Here, we demonstrate successful genome editing in primary human islets using clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein 9 (Cas9). CRISPR-based targeting efficiently mutated protein-coding exons, resulting in acute loss of islet β-cell regulators, like the transcription factor PDX1 and the KATP channel subunit KIR6.2, accompanied by impaired β-cell regulation and function. CRISPR targeting of non-coding DNA harboring type 2 diabetes (T2D) risk variants revealed changes in ABCC8, SIX2 and SIX3 expression, and impaired β-cell function, thereby linking regulatory elements in these target genes to T2D genetic susceptibility. Advances here establish a paradigm for genetic studies in human islet cells, and reveal regulatory and genetic mechanisms linking non-coding variants to human diabetes risk.
Suggested Citation
Romina J. Bevacqua & Xiaoqing Dai & Jonathan Y. Lam & Xueying Gu & Mollie S. H. Friedlander & Krissie Tellez & Irene Miguel-Escalada & Silvia Bonàs-Guarch & Goutham Atla & Weichen Zhao & Seung Hyun Ki, 2021.
"CRISPR-based genome editing in primary human pancreatic islet cells,"
Nature Communications, Nature, vol. 12(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22651-w
DOI: 10.1038/s41467-021-22651-w
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