Discovering human diabetes-risk gene function with genetics and physiological assays
(2018) In Nature Communications 9(1).- Abstract
Developing systems to identify the cell type-specific functions regulated by genes linked to type 2 diabetes (T2D) risk could transform our understanding of the genetic basis of this disease. However, in vivo systems for efficiently discovering T2D risk gene functions relevant to human cells are currently lacking. Here we describe powerful interdisciplinary approaches combining Drosophila genetics and physiology with human islet biology to address this fundamental gap in diabetes research. We identify Drosophila orthologs of T2D-risk genes that regulate insulin output. With human islets, we perform genetic studies and identify cognate human T2D-risk genes that regulate human beta cell function. Loss of BCL11A, a transcriptional... (More)
Developing systems to identify the cell type-specific functions regulated by genes linked to type 2 diabetes (T2D) risk could transform our understanding of the genetic basis of this disease. However, in vivo systems for efficiently discovering T2D risk gene functions relevant to human cells are currently lacking. Here we describe powerful interdisciplinary approaches combining Drosophila genetics and physiology with human islet biology to address this fundamental gap in diabetes research. We identify Drosophila orthologs of T2D-risk genes that regulate insulin output. With human islets, we perform genetic studies and identify cognate human T2D-risk genes that regulate human beta cell function. Loss of BCL11A, a transcriptional regulator, in primary human islet cells leads to enhanced insulin secretion. Gene expression profiling reveals BCL11A-dependent regulation of multiple genes involved in insulin exocytosis. Thus, genetic and physiological systems described here advance the capacity to identify cell-specific T2D risk gene functions.
(Less)
- author
- organization
- publishing date
- 2018
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Nature Communications
- volume
- 9
- issue
- 1
- article number
- 3855
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:30242153
- scopus:85053726357
- ISSN
- 2041-1723
- DOI
- 10.1038/s41467-018-06249-3
- language
- English
- LU publication?
- yes
- id
- 6d121d04-7a2e-4c75-88a4-bb2c9b7c8b5a
- date added to LUP
- 2018-10-08 13:26:10
- date last changed
- 2024-06-10 18:55:42
@article{6d121d04-7a2e-4c75-88a4-bb2c9b7c8b5a, abstract = {{<p>Developing systems to identify the cell type-specific functions regulated by genes linked to type 2 diabetes (T2D) risk could transform our understanding of the genetic basis of this disease. However, in vivo systems for efficiently discovering T2D risk gene functions relevant to human cells are currently lacking. Here we describe powerful interdisciplinary approaches combining Drosophila genetics and physiology with human islet biology to address this fundamental gap in diabetes research. We identify Drosophila orthologs of T2D-risk genes that regulate insulin output. With human islets, we perform genetic studies and identify cognate human T2D-risk genes that regulate human beta cell function. Loss of BCL11A, a transcriptional regulator, in primary human islet cells leads to enhanced insulin secretion. Gene expression profiling reveals BCL11A-dependent regulation of multiple genes involved in insulin exocytosis. Thus, genetic and physiological systems described here advance the capacity to identify cell-specific T2D risk gene functions.</p>}}, author = {{Peiris, Heshan and Park, Sangbin and Louis, Shreya and Gu, Xueying and Lam, Jonathan Y. and Asplund, Olof and Ippolito, Gregory C. and Bottino, Rita and Groop, Leif and Tucker, Haley and Kim, Seung K.}}, issn = {{2041-1723}}, language = {{eng}}, number = {{1}}, publisher = {{Nature Publishing Group}}, series = {{Nature Communications}}, title = {{Discovering human diabetes-risk gene function with genetics and physiological assays}}, url = {{http://dx.doi.org/10.1038/s41467-018-06249-3}}, doi = {{10.1038/s41467-018-06249-3}}, volume = {{9}}, year = {{2018}}, }