Meta-Analysis of Differential Connectivity in Gene Co-Expression Networks in Multiple Sclerosis.

ABSTRACT: Differential gene expression analyses to investigate multiple sclerosis (MS) molecular pathogenesis cannot detect genes harboring genetic and/or epigenetic modifications that change the gene functions without affecting their expression. Differential co-expression network approaches may capture changes in functional interactions resulting from these alterations. We re-analyzed 595 mRNA arrays from publicly available datasets by studying changes in gene co-expression networks in MS and in response to interferon (IFN)-β treatment. Interestingly, MS networks show a reduced connectivity relative to the healthy condition, and the treatment activates the transcription of genes and increases their connectivity in MS patients. Importantly, the analysis of changes in gene connectivity in MS patients

SUBMITTER: Creanza TM 

PROVIDER: S-EPMC4926469 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature