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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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