Literature DB >> 25586491

A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma.

Amitabh Sharma1, Jörg Menche2, C Chris Huang3, Tatiana Ort3, Xiaobo Zhou4, Maksim Kitsak5, Nidhi Sahni6, Derek Thibault4, Linh Voung4, Feng Guo4, Susan Dina Ghiassian5, Natali Gulbahce7, Frédéric Baribaud3, Joel Tocker3, Radu Dobrin3, Elliot Barnathan3, Hao Liu3, Reynold A Panettieri8, Kelan G Tantisira4, Weiliang Qiu4, Benjamin A Raby4, Edwin K Silverman4, Marc Vidal9, Scott T Weiss4, Albert-László Barabási10.   

Abstract

Recent advances in genetics have spurred rapid progress towards the systematic identification of genes involved in complex diseases. Still, the detailed understanding of the molecular and physiological mechanisms through which these genes affect disease phenotypes remains a major challenge. Here, we identify the asthma disease module, i.e. the local neighborhood of the interactome whose perturbation is associated with asthma, and validate it for functional and pathophysiological relevance, using both computational and experimental approaches. We find that the asthma disease module is enriched with modest GWAS P-values against the background of random variation, and with differentially expressed genes from normal and asthmatic fibroblast cells treated with an asthma-specific drug. The asthma module also contains immune response mechanisms that are shared with other immune-related disease modules. Further, using diverse omics (genomics, gene-expression, drug response) data, we identify the GAB1 signaling pathway as an important novel modulator in asthma. The wiring diagram of the uncovered asthma module suggests a relatively close link between GAB1 and glucocorticoids (GCs), which we experimentally validate, observing an increase in the level of GAB1 after GC treatment in BEAS-2B bronchial epithelial cells. The siRNA knockdown of GAB1 in the BEAS-2B cell line resulted in a decrease in the NFkB level, suggesting a novel regulatory path of the pro-inflammatory factor NFkB by GAB1 in asthma.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2015        PMID: 25586491      PMCID: PMC4447811          DOI: 10.1093/hmg/ddv001

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  57 in total

1.  Hierarchical organization of modularity in metabolic networks.

Authors:  E Ravasz; A L Somera; D A Mongru; Z N Oltvai; A L Barabási
Journal:  Science       Date:  2002-08-30       Impact factor: 47.728

2.  Scaffolding adaptor protein Gab1 is required for TLR3/4- and RIG-I-mediated production of proinflammatory cytokines and type I IFN in macrophages.

Authors:  Yuejuan Zheng; Huazhang An; Ming Yao; Jin Hou; Yizhi Yu; Gensheng Feng; Xuetao Cao
Journal:  J Immunol       Date:  2010-04-30       Impact factor: 5.422

3.  Discovering disease-genes by topological features in human protein-protein interaction network.

Authors:  Jianzhen Xu; Yongjin Li
Journal:  Bioinformatics       Date:  2006-09-05       Impact factor: 6.937

4.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

5.  Walking the interactome for prioritization of candidate disease genes.

Authors:  Sebastian Köhler; Sebastian Bauer; Denise Horn; Peter N Robinson
Journal:  Am J Hum Genet       Date:  2008-03-27       Impact factor: 11.025

Review 6.  Protein networks in disease.

Authors:  Trey Ideker; Roded Sharan
Journal:  Genome Res       Date:  2008-04       Impact factor: 9.043

7.  Costs of asthma in the United States: 2002-2007.

Authors:  Sarah Beth L Barnett; Tursynbek A Nurmagambetov
Journal:  J Allergy Clin Immunol       Date:  2011-01       Impact factor: 10.793

8.  Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations.

Authors:  Dara G Torgerson; Elizabeth J Ampleford; Grace Y Chiu; W James Gauderman; Christopher R Gignoux; Penelope E Graves; Blanca E Himes; Albert M Levin; Rasika A Mathias; Dana B Hancock; James W Baurley; Celeste Eng; Debra A Stern; Juan C Celedón; Nicholas Rafaels; Daniel Capurso; David V Conti; Lindsey A Roth; Manuel Soto-Quiros; Alkis Togias; Xingnan Li; Rachel A Myers; Isabelle Romieu; David J Van Den Berg; Donglei Hu; Nadia N Hansel; Ryan D Hernandez; Elliott Israel; Muhammad T Salam; Joshua Galanter; Pedro C Avila; Lydiana Avila; Jose R Rodriquez-Santana; Rocio Chapela; William Rodriguez-Cintron; Gregory B Diette; N Franklin Adkinson; Rebekah A Abel; Kevin D Ross; Min Shi; Mezbah U Faruque; Georgia M Dunston; Harold R Watson; Vito J Mantese; Serpil C Ezurum; Liming Liang; Ingo Ruczinski; Jean G Ford; Scott Huntsman; Kian Fan Chung; Hita Vora; Xia Li; William J Calhoun; Mario Castro; Juan J Sienra-Monge; Blanca del Rio-Navarro; Klaus A Deichmann; Andrea Heinzmann; Sally E Wenzel; William W Busse; James E Gern; Robert F Lemanske; Terri H Beaty; Eugene R Bleecker; Benjamin A Raby; Deborah A Meyers; Stephanie J London; Frank D Gilliland; Esteban G Burchard; Fernando D Martinez; Scott T Weiss; L Keoki Williams; Kathleen C Barnes; Carole Ober; Dan L Nicolae
Journal:  Nat Genet       Date:  2011-07-31       Impact factor: 38.330

9.  How complete are current yeast and human protein-interaction networks?

Authors:  G Traver Hart; Arun K Ramani; Edward M Marcotte
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

10.  Pathway and network-based analysis of genome-wide association studies in multiple sclerosis.

Authors:  Sergio E Baranzini; Nicholas W Galwey; Joanne Wang; Pouya Khankhanian; Raija Lindberg; Daniel Pelletier; Wen Wu; Bernard M J Uitdehaag; Ludwig Kappos; Chris H Polman; Paul M Matthews; Stephen L Hauser; Rachel A Gibson; Jorge R Oksenberg; Michael R Barnes
Journal:  Hum Mol Genet       Date:  2009-03-13       Impact factor: 6.150

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  68 in total

Review 1.  Precision medicine in cardiology.

Authors:  Elliott M Antman; Joseph Loscalzo
Journal:  Nat Rev Cardiol       Date:  2016-06-30       Impact factor: 32.419

Review 2.  Asthma Pharmacogenomics: 2015 Update.

Authors:  Joshua S Davis; Scott T Weiss; Kelan G Tantisira
Journal:  Curr Allergy Asthma Rep       Date:  2015-07       Impact factor: 4.806

Review 3.  Network Medicine in Pathobiology.

Authors:  Laurel Yong-Hwa Lee; Joseph Loscalzo
Journal:  Am J Pathol       Date:  2019-04-20       Impact factor: 4.307

4.  Understanding allergic multimorbidity within the non-eosinophilic interactome.

Authors:  Daniel Aguilar; Nathanael Lemonnier; Gerard H Koppelman; Erik Melén; Baldo Oliva; Mariona Pinart; Stefano Guerra; Jean Bousquet; Josep M Anto
Journal:  PLoS One       Date:  2019-11-06       Impact factor: 3.240

Review 5.  Systems medicine: evolution of systems biology from bench to bedside.

Authors:  Rui-Sheng Wang; Bradley A Maron; Joseph Loscalzo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-04-17

Review 6.  Molecular networks in Network Medicine: Development and applications.

Authors:  Edwin K Silverman; Harald H H W Schmidt; Eleni Anastasiadou; Lucia Altucci; Marco Angelini; Lina Badimon; Jean-Luc Balligand; Giuditta Benincasa; Giovambattista Capasso; Federica Conte; Antonella Di Costanzo; Lorenzo Farina; Giulia Fiscon; Laurent Gatto; Michele Gentili; Joseph Loscalzo; Cinzia Marchese; Claudio Napoli; Paola Paci; Manuela Petti; John Quackenbush; Paolo Tieri; Davide Viggiano; Gemma Vilahur; Kimberly Glass; Jan Baumbach
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-04-19

7.  A systems immunology approach identifies the collective impact of 5 miRs in Th2 inflammation.

Authors:  Ayşe Kılıç; Marc Santolini; Taiji Nakano; Matthias Schiller; Mizue Teranishi; Pascal Gellert; Yuliya Ponomareva; Thomas Braun; Shizuka Uchida; Scott T Weiss; Amitabh Sharma; Harald Renz
Journal:  JCI Insight       Date:  2018-06-07

Review 8.  Providing data science support for systems pharmacology and its implications to drug discovery.

Authors:  Thomas Hart; Lei Xie
Journal:  Expert Opin Drug Discov       Date:  2016-01-09       Impact factor: 6.098

9.  A Perspective on Implementing a Quantitative Systems Pharmacology Platform for Drug Discovery and the Advancement of Personalized Medicine.

Authors:  Andrew M Stern; Mark E Schurdak; Ivet Bahar; Jeremy M Berg; D Lansing Taylor
Journal:  J Biomol Screen       Date:  2016-03-08

10.  Systems biology and in vitro validation identifies family with sequence similarity 129 member A (FAM129A) as an asthma steroid response modulator.

Authors:  Michael J McGeachie; George L Clemmer; Boris Hayete; Heming Xing; Karl Runge; Ann Chen Wu; Xiaofeng Jiang; Quan Lu; Bruce Church; Iya Khalil; Kelan Tantisira; Scott Weiss
Journal:  J Allergy Clin Immunol       Date:  2018-03-02       Impact factor: 10.793

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