Application of an integrative computational framework in trancriptomic data of atherosclerotic mice suggests numerous molecular players.

ABSTRACT: Atherosclerosis is a multifactorial disease involving a lot of genes and proteins recruited throughout its manifestation. The present study aims to exploit bioinformatic tools in order to analyze microarray data of atherosclerotic aortic lesions of ApoE knockout mice, a model widely used in atherosclerosis research. In particular, a dynamic analysis was performed among young and aged animals, resulting in a list of 852 significantly altered genes. Pathway analysis indicated alterations in critical cellular processes related to cell communication and signal transduction, immune response, lipid transport, and metabolism. Cluster analysis partitioned the significantly differentiated genes in three major clusters of similar expression profile. Promoter analysis applied to functional related gr

SUBMITTER: Papadodima O 

PROVIDER: S-EPMC3502768 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature