Genome-wide expression patterns in physiological cardiac hypertrophy

TY - JOUR

T1 - Genome-wide expression patterns in physiological cardiac hypertrophy

AU - Drozdov, Ignat

AU - Tsoka, Sophia

AU - Ouzounis, Christos A.

AU - Shah, Ajay M.

PY - 2010/10/11

Y1 - 2010/10/11

N2 - Background: Genome-wide expression patterns in physiological cardiac hypertrophy. Co-expression patterns in physiological cardiac hypertrophy Results: In this study, the first large-scale analysis of publicly available genome-wide expression data of several in vivo murine models of physiological LVH was carried out using network analysis. On evaluating 3 million gene co-expression patterns across 141 relevant microarray experiments, it was found that physiological adaptation is an evolutionarily conserved processes involving preservation of the function of cytochrome c oxidase, induction of autophagy compatible with cell survival, and coordinated regulation of angiogenesis. Conclusion: This analysis not only identifies known biological pathways involved in physiological LVH, but also offers novel insights into the molecular basis of this phenotype by identifying key networks of co-expressed genes, as well as their topological and functional properties, using relevant high-quality microarray experiments and network inference.

AB - Background: Genome-wide expression patterns in physiological cardiac hypertrophy. Co-expression patterns in physiological cardiac hypertrophy Results: In this study, the first large-scale analysis of publicly available genome-wide expression data of several in vivo murine models of physiological LVH was carried out using network analysis. On evaluating 3 million gene co-expression patterns across 141 relevant microarray experiments, it was found that physiological adaptation is an evolutionarily conserved processes involving preservation of the function of cytochrome c oxidase, induction of autophagy compatible with cell survival, and coordinated regulation of angiogenesis. Conclusion: This analysis not only identifies known biological pathways involved in physiological LVH, but also offers novel insights into the molecular basis of this phenotype by identifying key networks of co-expressed genes, as well as their topological and functional properties, using relevant high-quality microarray experiments and network inference.

U2 - 10.1186/1471-2164-11-557

DO - 10.1186/1471-2164-11-557

M3 - Article

SN - 1471-2164

VL - 11

JO - BMC GENOMICS

JF - BMC GENOMICS

IS - 1

M1 - 557

ER -