Modular network inference between miRNA-mRNA expression profiles using weighted co-expression network analysis.
gene expression
hubs
miRNA
module detection
module eigengene networks
network inference
Journal
Journal of integrative bioinformatics
ISSN: 1613-4516
Titre abrégé: J Integr Bioinform
Pays: Germany
ID NLM: 101503361
Informations de publication
Date de publication:
22 Nov 2021
22 Nov 2021
Historique:
received:
31
08
2021
accepted:
28
10
2021
pubmed:
21
11
2021
medline:
29
12
2021
entrez:
20
11
2021
Statut:
epublish
Résumé
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 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.
Identifiants
pubmed: 34800012
pii: jib-2021-0029
doi: 10.1515/jib-2021-0029
pmc: PMC8709739
doi:
Substances chimiques
MicroRNAs
0
RNA, Messenger
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2021 Nisar Wani et al., published by De Gruyter, Berlin/Boston.
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