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Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers

Common inflammatome gene signatures as well as disease-specific signatures were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated from 11 rodent inflammatory disease models. The inflammatome signature significantly overlaps with known drug targets an...

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Autores principales: Wang, I-Ming, Zhang, Bin, Yang, Xia, Zhu, Jun, Stepaniants, Serguei, Zhang, Chunsheng, Meng, Qingying, Peters, Mette, He, Yudong, Ni, Chester, Slipetz, Deborah, Crackower, Michael A, Houshyar, Hani, Tan, Christopher M, Asante-Appiah, Ernest, O'Neill, Gary, Jane Luo, Mingjuan, Thieringer, Rolf, Yuan, Jeffrey, Chiu, Chi-Sung, Yee Lum, Pek, Lamb, John, Boie, Yves, Wilkinson, Hilary A, Schadt, Eric E, Dai, Hongyue, Roberts, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Molecular Biology Organization 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3421440/
https://www.ncbi.nlm.nih.gov/pubmed/22806142
http://dx.doi.org/10.1038/msb.2012.24
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author Wang, I-Ming
Zhang, Bin
Yang, Xia
Zhu, Jun
Stepaniants, Serguei
Zhang, Chunsheng
Meng, Qingying
Peters, Mette
He, Yudong
Ni, Chester
Slipetz, Deborah
Crackower, Michael A
Houshyar, Hani
Tan, Christopher M
Asante-Appiah, Ernest
O'Neill, Gary
Jane Luo, Mingjuan
Thieringer, Rolf
Yuan, Jeffrey
Chiu, Chi-Sung
Yee Lum, Pek
Lamb, John
Boie, Yves
Wilkinson, Hilary A
Schadt, Eric E
Dai, Hongyue
Roberts, Christopher
author_facet Wang, I-Ming
Zhang, Bin
Yang, Xia
Zhu, Jun
Stepaniants, Serguei
Zhang, Chunsheng
Meng, Qingying
Peters, Mette
He, Yudong
Ni, Chester
Slipetz, Deborah
Crackower, Michael A
Houshyar, Hani
Tan, Christopher M
Asante-Appiah, Ernest
O'Neill, Gary
Jane Luo, Mingjuan
Thieringer, Rolf
Yuan, Jeffrey
Chiu, Chi-Sung
Yee Lum, Pek
Lamb, John
Boie, Yves
Wilkinson, Hilary A
Schadt, Eric E
Dai, Hongyue
Roberts, Christopher
author_sort Wang, I-Ming
collection PubMed
description Common inflammatome gene signatures as well as disease-specific signatures were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated from 11 rodent inflammatory disease models. The inflammatome signature significantly overlaps with known drug targets and co-expressed gene modules linked to metabolic disorders and cancer. A large proportion of genes in this signature are tightly connected in tissue-specific Bayesian networks (BNs) built from multiple independent mouse and human cohorts. Both the inflammatome signature and the corresponding consensus BNs are highly enriched for immune response-related genes supported as causal for adiposity, adipokine, diabetes, aortic lesion, bone, muscle, and cholesterol traits, suggesting the causal nature of the inflammatome for a variety of diseases. Integration of this inflammatome signature with the BNs uncovered 151 key drivers that appeared to be more biologically important than the non-drivers in terms of their impact on disease phenotypes. The identification of this inflammatome signature, its network architecture, and key drivers not only highlights the shared etiology but also pinpoints potential targets for intervention of various common diseases.
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spelling pubmed-34214402012-08-17 Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers Wang, I-Ming Zhang, Bin Yang, Xia Zhu, Jun Stepaniants, Serguei Zhang, Chunsheng Meng, Qingying Peters, Mette He, Yudong Ni, Chester Slipetz, Deborah Crackower, Michael A Houshyar, Hani Tan, Christopher M Asante-Appiah, Ernest O'Neill, Gary Jane Luo, Mingjuan Thieringer, Rolf Yuan, Jeffrey Chiu, Chi-Sung Yee Lum, Pek Lamb, John Boie, Yves Wilkinson, Hilary A Schadt, Eric E Dai, Hongyue Roberts, Christopher Mol Syst Biol Article Common inflammatome gene signatures as well as disease-specific signatures were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated from 11 rodent inflammatory disease models. The inflammatome signature significantly overlaps with known drug targets and co-expressed gene modules linked to metabolic disorders and cancer. A large proportion of genes in this signature are tightly connected in tissue-specific Bayesian networks (BNs) built from multiple independent mouse and human cohorts. Both the inflammatome signature and the corresponding consensus BNs are highly enriched for immune response-related genes supported as causal for adiposity, adipokine, diabetes, aortic lesion, bone, muscle, and cholesterol traits, suggesting the causal nature of the inflammatome for a variety of diseases. Integration of this inflammatome signature with the BNs uncovered 151 key drivers that appeared to be more biologically important than the non-drivers in terms of their impact on disease phenotypes. The identification of this inflammatome signature, its network architecture, and key drivers not only highlights the shared etiology but also pinpoints potential targets for intervention of various common diseases. European Molecular Biology Organization 2012-07-17 /pmc/articles/PMC3421440/ /pubmed/22806142 http://dx.doi.org/10.1038/msb.2012.24 Text en Copyright © 2012, EMBO and Macmillan Publishers Limited https://creativecommons.org/licenses/by-nc-sa/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.
spellingShingle Article
Wang, I-Ming
Zhang, Bin
Yang, Xia
Zhu, Jun
Stepaniants, Serguei
Zhang, Chunsheng
Meng, Qingying
Peters, Mette
He, Yudong
Ni, Chester
Slipetz, Deborah
Crackower, Michael A
Houshyar, Hani
Tan, Christopher M
Asante-Appiah, Ernest
O'Neill, Gary
Jane Luo, Mingjuan
Thieringer, Rolf
Yuan, Jeffrey
Chiu, Chi-Sung
Yee Lum, Pek
Lamb, John
Boie, Yves
Wilkinson, Hilary A
Schadt, Eric E
Dai, Hongyue
Roberts, Christopher
Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
title Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
title_full Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
title_fullStr Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
title_full_unstemmed Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
title_short Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
title_sort systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3421440/
https://www.ncbi.nlm.nih.gov/pubmed/22806142
http://dx.doi.org/10.1038/msb.2012.24
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