Literature DB >> 27866946

Systems Genetics Approach Identifies Gene Pathways and Adamts2 as Drivers of Isoproterenol-Induced Cardiac Hypertrophy and Cardiomyopathy in Mice.

Christoph D Rau1, Milagros C Romay2, Mary Tuteryan2, Jessica J-C Wang3, Marc Santolini4, Shuxun Ren5, Alain Karma4, James N Weiss3, Yibin Wang5, Aldons J Lusis6.   

Abstract

We previously reported a genetic analysis of heart failure traits in a population of inbred mouse strains treated with isoproterenol to mimic catecholamine-driven cardiac hypertrophy. Here, we apply a co-expression network algorithm, wMICA, to perform a systems-level analysis of left ventricular transcriptomes from these mice. We describe the features of the overall network but focus on a module identified in treated hearts that is strongly related to cardiac hypertrophy and pathological remodeling. Using the causal modeling algorithm NEO, we identified the gene Adamts2 as a putative regulator of this module and validated the predictive value of NEO using small interfering RNA-mediated knockdown in neonatal rat ventricular myocytes. Adamts2 silencing regulated the expression of the genes residing within the module and impaired isoproterenol-induced cellular hypertrophy. Our results provide a view of higher order interactions in heart failure with potential for diagnostic and therapeutic insights.
Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  MICA; causal modeling; gene network; siRNA mediated knockdown; ventricular myocytes

Mesh:

Substances:

Year:  2016        PMID: 27866946      PMCID: PMC5338604          DOI: 10.1016/j.cels.2016.10.016

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  56 in total

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Review 9.  Systems Genetics for Mechanistic Discovery in Heart Diseases.

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