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Discovering human diabetes-risk gene function with genetics and physiological assays
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 cur...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155000/ https://www.ncbi.nlm.nih.gov/pubmed/30242153 http://dx.doi.org/10.1038/s41467-018-06249-3 |
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author | Peiris, Heshan Park, Sangbin Louis, Shreya Gu, Xueying Lam, Jonathan Y. Asplund, Olof Ippolito, Gregory C. Bottino, Rita Groop, Leif Tucker, Haley Kim, Seung K. |
author_facet | Peiris, Heshan Park, Sangbin Louis, Shreya Gu, Xueying Lam, Jonathan Y. Asplund, Olof Ippolito, Gregory C. Bottino, Rita Groop, Leif Tucker, Haley Kim, Seung K. |
author_sort | Peiris, Heshan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6155000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61550002018-09-28 Discovering human diabetes-risk gene function with genetics and physiological assays Peiris, Heshan Park, Sangbin Louis, Shreya Gu, Xueying Lam, Jonathan Y. Asplund, Olof Ippolito, Gregory C. Bottino, Rita Groop, Leif Tucker, Haley Kim, Seung K. Nat Commun Article 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. Nature Publishing Group UK 2018-09-21 /pmc/articles/PMC6155000/ /pubmed/30242153 http://dx.doi.org/10.1038/s41467-018-06249-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Peiris, Heshan Park, Sangbin Louis, Shreya Gu, Xueying Lam, Jonathan Y. Asplund, Olof Ippolito, Gregory C. Bottino, Rita Groop, Leif Tucker, Haley Kim, Seung K. Discovering human diabetes-risk gene function with genetics and physiological assays |
title | Discovering human diabetes-risk gene function with genetics and physiological assays |
title_full | Discovering human diabetes-risk gene function with genetics and physiological assays |
title_fullStr | Discovering human diabetes-risk gene function with genetics and physiological assays |
title_full_unstemmed | Discovering human diabetes-risk gene function with genetics and physiological assays |
title_short | Discovering human diabetes-risk gene function with genetics and physiological assays |
title_sort | discovering human diabetes-risk gene function with genetics and physiological assays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155000/ https://www.ncbi.nlm.nih.gov/pubmed/30242153 http://dx.doi.org/10.1038/s41467-018-06249-3 |
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