Ontology highlight
ABSTRACT: Background
Traditional differential expression analysis typically identifies genes with varying expression levels and uses them to construct networks. However, this approach often fails to capture changes in gene interactions that occur at constant gene expression levels.Objectives
To address this limitation, this study investigated the dynamics of protein interactions through active networks under various conditions, focusing on Shewanella oneidensis MR-1, a model electroactive microorganism.Methods
We constructed both condition-specific and time-course active protein networks using gene expression and protein interaction data from S. oneidensis MR-1.Results
Our analysis revealed several functional modules that were active and well-coordinated
SUBMITTER: Ding D
PROVIDER: S-EPMC12191902 | biostudies-literature | 2025 May
REPOSITORIES: biostudies-literature