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PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs
Charting microRNA (miRNA) regulation across pathways is key to characterizing their function. Yet, no method currently exists that can quantify how miRNAs regulate multiple interconnected pathways or prioritize them for their ability to regulate coordinate transcriptional programs. Existing methods...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661971/ https://www.ncbi.nlm.nih.gov/pubmed/37985452 http://dx.doi.org/10.1093/bib/bbad418 |
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author | Naderi Yeganeh, Pourya Teo, Yue Y Karagkouni, Dimitra Pita-Juárez, Yered Morgan, Sarah L Slack, Frank J Vlachos, Ioannis S Hide, Winston A |
author_facet | Naderi Yeganeh, Pourya Teo, Yue Y Karagkouni, Dimitra Pita-Juárez, Yered Morgan, Sarah L Slack, Frank J Vlachos, Ioannis S Hide, Winston A |
author_sort | Naderi Yeganeh, Pourya |
collection | PubMed |
description | Charting microRNA (miRNA) regulation across pathways is key to characterizing their function. Yet, no method currently exists that can quantify how miRNAs regulate multiple interconnected pathways or prioritize them for their ability to regulate coordinate transcriptional programs. Existing methods primarily infer one-to-one relationships between miRNAs and pathways using differentially expressed genes. We introduce PanomiR, an in silico framework for studying the interplay of miRNAs and disease functions. PanomiR integrates gene expression, mRNA–miRNA interactions and known biological pathways to reveal coordinated multi-pathway targeting by miRNAs. PanomiR utilizes pathway-activity profiling approaches, a pathway co-expression network and network clustering algorithms to prioritize miRNAs that target broad-scale transcriptional disease phenotypes. It directly resolves differential regulation of pathways, irrespective of their differential gene expression, and captures co-activity to establish functional pathway groupings and the miRNAs that may regulate them. PanomiR uses a systems biology approach to provide broad but precise insights into miRNA-regulated functional programs. It is available at https://bioconductor.org/packages/PanomiR. |
format | Online Article Text |
id | pubmed-10661971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106619712023-11-20 PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs Naderi Yeganeh, Pourya Teo, Yue Y Karagkouni, Dimitra Pita-Juárez, Yered Morgan, Sarah L Slack, Frank J Vlachos, Ioannis S Hide, Winston A Brief Bioinform Problem Solving Protocol Charting microRNA (miRNA) regulation across pathways is key to characterizing their function. Yet, no method currently exists that can quantify how miRNAs regulate multiple interconnected pathways or prioritize them for their ability to regulate coordinate transcriptional programs. Existing methods primarily infer one-to-one relationships between miRNAs and pathways using differentially expressed genes. We introduce PanomiR, an in silico framework for studying the interplay of miRNAs and disease functions. PanomiR integrates gene expression, mRNA–miRNA interactions and known biological pathways to reveal coordinated multi-pathway targeting by miRNAs. PanomiR utilizes pathway-activity profiling approaches, a pathway co-expression network and network clustering algorithms to prioritize miRNAs that target broad-scale transcriptional disease phenotypes. It directly resolves differential regulation of pathways, irrespective of their differential gene expression, and captures co-activity to establish functional pathway groupings and the miRNAs that may regulate them. PanomiR uses a systems biology approach to provide broad but precise insights into miRNA-regulated functional programs. It is available at https://bioconductor.org/packages/PanomiR. Oxford University Press 2023-11-20 /pmc/articles/PMC10661971/ /pubmed/37985452 http://dx.doi.org/10.1093/bib/bbad418 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Problem Solving Protocol Naderi Yeganeh, Pourya Teo, Yue Y Karagkouni, Dimitra Pita-Juárez, Yered Morgan, Sarah L Slack, Frank J Vlachos, Ioannis S Hide, Winston A PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs |
title | PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs |
title_full | PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs |
title_fullStr | PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs |
title_full_unstemmed | PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs |
title_short | PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs |
title_sort | panomir: a systems biology framework for analysis of multi-pathway targeting by mirnas |
topic | Problem Solving Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661971/ https://www.ncbi.nlm.nih.gov/pubmed/37985452 http://dx.doi.org/10.1093/bib/bbad418 |
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