Gene Network and Proteomic Analyses of Cardiac Responses to Pathological and Physiological Stress
Author(s) -
Ignat Drozdov,
Athanasios Didangelos,
Xiaoke Yin,
Anna Zampetaki,
Mélanie Abonnenc,
Colin E. Murdoch,
Min Zhang,
Christos Ouzounis,
Manuel Mayr,
Sophia Tsoka,
Ajay M. Shah
Publication year - 2013
Publication title -
circulation cardiovascular genetics
Language(s) - English
Resource type - Journals
eISSN - 1942-325X
pISSN - 1942-3268
DOI - 10.1161/circgenetics.113.000063
Subject(s) - biology , phenotype , gene , transcriptome , computational biology , gene regulatory network , candidate gene , gene expression , gene expression profiling , in silico , pathological , interaction network , genetics , pathology , medicine
The molecular mechanisms underlying similarities and differences between physiological and pathological left ventricular hypertrophy (LVH) are of intense interest. Most previous work involved targeted analysis of individual signaling pathways or screening of transcriptomic profiles. We developed a network biology approach using genomic and proteomic data to study the molecular patterns that distinguish pathological and physiological LVH.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom