Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis

Nisar Wani, Debmalya Barh, Khalid Raza
2021 Journal of Integrative Bioinformatics  
Connecting transcriptional and post-transcriptional regulatory networks solves an important puzzle in the elucidation of gene regulatory mechanisms. To decipher the complexity of these connections, we build co-expression network modules for mRNA as well as miRNA expression profiles of breast cancer data. We construct gene and miRNA co-expression modules using the weighted gene co-expression network analysis (WGCNA) method and establish the significance of these modules (Genes/miRNAs) for cancer
more » ... phenotype. This work also infers an interaction network between the genes of the turquoise module from mRNA expression data and hubs of the turquoise module from miRNA expression data. A pathway enrichment analysis using a miRsystem web tool for miRNA hubs and some of their targets, reveal their enrichment in several important pathways associated with the progression of cancer.
doi:10.1515/jib-2021-0029 pmid:34800012 pmcid:PMC8709739 fatcat:6h2edskldnaahctyth25q45ebe