Cargando…
A Genome-Wide siRNA Screen to Identify Modulators of Insulin Sensitivity and Gluconeogenesis
BACKGROUND: Hepatic insulin resistance impairs insulin’s ability to suppress hepatic glucose production (HGP) and contributes to the development of type 2 diabetes (T2D). Although the interests to discover novel genes that modulate insulin sensitivity and HGP are high, it remains challenging to have...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3348929/ https://www.ncbi.nlm.nih.gov/pubmed/22590537 http://dx.doi.org/10.1371/journal.pone.0036384 |
_version_ | 1782232445372858368 |
---|---|
author | Yang, Ruojing Lacson, Raul G. Castriota, Gino Zhang, Xiaohua D. Liu, Yaping Zhao, Wenqing Einstein, Monica Camargo, Luiz Miguel Qureshi, Sajjad Wong, Kenny K. Zhang, Bei B. Ferrer, Marc Berger, Joel P. |
author_facet | Yang, Ruojing Lacson, Raul G. Castriota, Gino Zhang, Xiaohua D. Liu, Yaping Zhao, Wenqing Einstein, Monica Camargo, Luiz Miguel Qureshi, Sajjad Wong, Kenny K. Zhang, Bei B. Ferrer, Marc Berger, Joel P. |
author_sort | Yang, Ruojing |
collection | PubMed |
description | BACKGROUND: Hepatic insulin resistance impairs insulin’s ability to suppress hepatic glucose production (HGP) and contributes to the development of type 2 diabetes (T2D). Although the interests to discover novel genes that modulate insulin sensitivity and HGP are high, it remains challenging to have a human cell based system to identify novel genes. METHODOLOGY/PRINCIPAL FINDINGS: To identify genes that modulate hepatic insulin signaling and HGP, we generated a human cell line stably expressing beta-lactamase under the control of the human glucose-6-phosphatase (G6PC) promoter (AH-G6PC cells). Both beta-lactamase activity and endogenous G6PC mRNA were increased in AH-G6PC cells by a combination of dexamethasone and pCPT-cAMP, and reduced by insulin. A 4-gene High-Throughput-Genomics assay was developed to concomitantly measure G6PC and pyruvate-dehydrogenase-kinase-4 (PDK4) mRNA levels. Using this assay, we screened an siRNA library containing pooled siRNA targeting 6650 druggable genes and identified 614 hits that lowered G6PC expression without increasing PDK4 mRNA levels. Pathway analysis indicated that siRNA-mediated knockdown (KD) of genes known to positively or negatively affect insulin signaling increased or decreased G6PC mRNA expression, respectively, thus validating our screening platform. A subset of 270 primary screen hits was selected and 149 hits were confirmed by target gene KD by pooled siRNA and 7 single siRNA for each gene to reduce G6PC expression in 4-gene HTG assay. Subsequently, pooled siRNA KD of 113 genes decreased PEPCK and/or PGC1alpha mRNA expression thereby demonstrating their role in regulating key gluconeogenic genes in addition to G6PC. Last, KD of 61 of the above 113 genes potentiated insulin-stimulated Akt phosphorylation, suggesting that they suppress gluconeogenic gene by enhancing insulin signaling. CONCLUSIONS/SIGNIFICANCE: These results support the proposition that the proteins encoded by the genes identified in our cell-based druggable genome siRNA screen hold the potential to serve as novel pharmacological targets for the treatment of T2D. |
format | Online Article Text |
id | pubmed-3348929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33489292012-05-15 A Genome-Wide siRNA Screen to Identify Modulators of Insulin Sensitivity and Gluconeogenesis Yang, Ruojing Lacson, Raul G. Castriota, Gino Zhang, Xiaohua D. Liu, Yaping Zhao, Wenqing Einstein, Monica Camargo, Luiz Miguel Qureshi, Sajjad Wong, Kenny K. Zhang, Bei B. Ferrer, Marc Berger, Joel P. PLoS One Research Article BACKGROUND: Hepatic insulin resistance impairs insulin’s ability to suppress hepatic glucose production (HGP) and contributes to the development of type 2 diabetes (T2D). Although the interests to discover novel genes that modulate insulin sensitivity and HGP are high, it remains challenging to have a human cell based system to identify novel genes. METHODOLOGY/PRINCIPAL FINDINGS: To identify genes that modulate hepatic insulin signaling and HGP, we generated a human cell line stably expressing beta-lactamase under the control of the human glucose-6-phosphatase (G6PC) promoter (AH-G6PC cells). Both beta-lactamase activity and endogenous G6PC mRNA were increased in AH-G6PC cells by a combination of dexamethasone and pCPT-cAMP, and reduced by insulin. A 4-gene High-Throughput-Genomics assay was developed to concomitantly measure G6PC and pyruvate-dehydrogenase-kinase-4 (PDK4) mRNA levels. Using this assay, we screened an siRNA library containing pooled siRNA targeting 6650 druggable genes and identified 614 hits that lowered G6PC expression without increasing PDK4 mRNA levels. Pathway analysis indicated that siRNA-mediated knockdown (KD) of genes known to positively or negatively affect insulin signaling increased or decreased G6PC mRNA expression, respectively, thus validating our screening platform. A subset of 270 primary screen hits was selected and 149 hits were confirmed by target gene KD by pooled siRNA and 7 single siRNA for each gene to reduce G6PC expression in 4-gene HTG assay. Subsequently, pooled siRNA KD of 113 genes decreased PEPCK and/or PGC1alpha mRNA expression thereby demonstrating their role in regulating key gluconeogenic genes in addition to G6PC. Last, KD of 61 of the above 113 genes potentiated insulin-stimulated Akt phosphorylation, suggesting that they suppress gluconeogenic gene by enhancing insulin signaling. CONCLUSIONS/SIGNIFICANCE: These results support the proposition that the proteins encoded by the genes identified in our cell-based druggable genome siRNA screen hold the potential to serve as novel pharmacological targets for the treatment of T2D. Public Library of Science 2012-05-09 /pmc/articles/PMC3348929/ /pubmed/22590537 http://dx.doi.org/10.1371/journal.pone.0036384 Text en Yang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yang, Ruojing Lacson, Raul G. Castriota, Gino Zhang, Xiaohua D. Liu, Yaping Zhao, Wenqing Einstein, Monica Camargo, Luiz Miguel Qureshi, Sajjad Wong, Kenny K. Zhang, Bei B. Ferrer, Marc Berger, Joel P. A Genome-Wide siRNA Screen to Identify Modulators of Insulin Sensitivity and Gluconeogenesis |
title | A Genome-Wide siRNA Screen to Identify Modulators of Insulin Sensitivity and Gluconeogenesis |
title_full | A Genome-Wide siRNA Screen to Identify Modulators of Insulin Sensitivity and Gluconeogenesis |
title_fullStr | A Genome-Wide siRNA Screen to Identify Modulators of Insulin Sensitivity and Gluconeogenesis |
title_full_unstemmed | A Genome-Wide siRNA Screen to Identify Modulators of Insulin Sensitivity and Gluconeogenesis |
title_short | A Genome-Wide siRNA Screen to Identify Modulators of Insulin Sensitivity and Gluconeogenesis |
title_sort | genome-wide sirna screen to identify modulators of insulin sensitivity and gluconeogenesis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3348929/ https://www.ncbi.nlm.nih.gov/pubmed/22590537 http://dx.doi.org/10.1371/journal.pone.0036384 |
work_keys_str_mv | AT yangruojing agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT lacsonraulg agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT castriotagino agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT zhangxiaohuad agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT liuyaping agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT zhaowenqing agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT einsteinmonica agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT camargoluizmiguel agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT qureshisajjad agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT wongkennyk agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT zhangbeib agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT ferrermarc agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT bergerjoelp agenomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT yangruojing genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT lacsonraulg genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT castriotagino genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT zhangxiaohuad genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT liuyaping genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT zhaowenqing genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT einsteinmonica genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT camargoluizmiguel genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT qureshisajjad genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT wongkennyk genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT zhangbeib genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT ferrermarc genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis AT bergerjoelp genomewidesirnascreentoidentifymodulatorsofinsulinsensitivityandgluconeogenesis |