An integrative network-based approach to identify driving gene communities in chronic obstructive pulmonary disease.

ABSTRACT: Chronic obstructive pulmonary disease (COPD) is an etiologically complex disease characterized by acute exacerbations and stable phases. We aimed to identify biological functions modulated in specific COPD conditions, using whole blood samples collected in the AERIS clinical study (NCT01360398). Considered conditions were exacerbation onset, severity of airway obstruction, and presence of respiratory pathogens in sputum samples. With an integrative multi-network gene community detection (MNGCD) approach, we analyzed expression profiles to identify communities of correlated genes. The approach combined different layers of gene interactions for each explored condition/subset of samples: gene expression similarity, protein-protein interactions, transcription factors, and microRNAs validated r

SUBMITTER: Marino R 

PROVIDER: S-EPMC11513021 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature