Cargando…
Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis
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...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709739/ https://www.ncbi.nlm.nih.gov/pubmed/34800012 http://dx.doi.org/10.1515/jib-2021-0029 |
_version_ | 1784623008353091584 |
---|---|
author | Wani, Nisar Barh, Debmalya Raza, Khalid |
author_facet | Wani, Nisar Barh, Debmalya Raza, Khalid |
author_sort | Wani, Nisar |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8709739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-87097392022-01-20 Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis Wani, Nisar Barh, Debmalya Raza, Khalid J Integr Bioinform Article 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. De Gruyter 2021-11-22 /pmc/articles/PMC8709739/ /pubmed/34800012 http://dx.doi.org/10.1515/jib-2021-0029 Text en © 2021 Nisar Wani et al., published by De Gruyter, Berlin/Boston https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Article Wani, Nisar Barh, Debmalya Raza, Khalid Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis |
title | Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis |
title_full | Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis |
title_fullStr | Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis |
title_full_unstemmed | Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis |
title_short | Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis |
title_sort | modular network inference between mirna–mrna expression profiles using weighted co-expression network analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709739/ https://www.ncbi.nlm.nih.gov/pubmed/34800012 http://dx.doi.org/10.1515/jib-2021-0029 |
work_keys_str_mv | AT waninisar modularnetworkinferencebetweenmirnamrnaexpressionprofilesusingweightedcoexpressionnetworkanalysis AT barhdebmalya modularnetworkinferencebetweenmirnamrnaexpressionprofilesusingweightedcoexpressionnetworkanalysis AT razakhalid modularnetworkinferencebetweenmirnamrnaexpressionprofilesusingweightedcoexpressionnetworkanalysis |