Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1.

ABSTRACT: Systems biology based approaches have been effectively utilized to mine high throughput data. In the current study, we have performed system-level analysis for Deinococcus radiodurans R1 by constructing a gene co-expression network based on several microarray datasets available in the public domain. This condition-independent network was constructed by Weighted Gene Co-expression Network Analysis (WGCNA) with 61 microarray samples from 9 different experimental conditions. We identified 13 co-expressed modules, of which, 11 showed functional enrichments of one or more pathway/s or biological process. Comparative analysis of differentially expressed genes and proteins from radiation and desiccation stress studies with our co-expressed modules revealed the association of cyan with radiation r

SUBMITTER: Joshi SR 

PROVIDER: S-EPMC7314050 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature