Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis-Reference-Cited by-同舟云学术

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

Published:2021-11-22 Issue:4 Volume:18 Page:
ISSN:1613-4516
Container-title:Journal of Integrative Bioinformatics
language:en
Short-container-title:

Author:

Wani Nisar¹,Barh Debmalya²³,Raza Khalid⁴^ORCID

Affiliation:

1. Computer Science and Engineering Department, Govt. College of Engineering and Technology Safapora , Ganderbal Kashmir , J&K , India

2. Institute of Integrative Omics and Applied Biotechnology (IIOAB) , Nonakuri , Purba Medinipur , WB , India

3. Department of Genetics, Ecology and Evolution , Institute of Biological Sciences, Federal University of Minas Gerais , Belo Horizonte , Minas Gerais , Brazil

4. Department of Computer Science , Jamia Millia Islamia , New Delhi , India

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Link

https://www.degruyter.com/document/doi/10.1515/jib-2021-0029/pdf

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