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Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis

The small GTPase RhoA has been studied extensively for its role in actin dynamics. In this study, multiple bioinformatics tools were applied cooperatively to the microarray dataset GSE64714 to explore previously unidentified functions of RhoA. Comparative gene expression analysis revealed 545 differ...

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Autor principal: Chun, Kwang-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Applied Pharmacology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724844/
https://www.ncbi.nlm.nih.gov/pubmed/34429388
http://dx.doi.org/10.4062/biomolther.2021.075
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author Chun, Kwang-Hoon
author_facet Chun, Kwang-Hoon
author_sort Chun, Kwang-Hoon
collection PubMed
description The small GTPase RhoA has been studied extensively for its role in actin dynamics. In this study, multiple bioinformatics tools were applied cooperatively to the microarray dataset GSE64714 to explore previously unidentified functions of RhoA. Comparative gene expression analysis revealed 545 differentially expressed genes in RhoA-null cells versus controls. Gene set enrichment analysis (GSEA) was conducted with three gene set collections: (1) the hallmark, (2) the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and (3) the Gene Ontology Biological Process. GSEA results showed that RhoA is related strongly to diverse pathways: cell cycle/growth, DNA repair, metabolism, keratinization, response to fungus, and vesicular transport. These functions were verified by heatmap analysis, KEGG pathway diagramming, and direct acyclic graphing. The use of multiple gene set collections restricted the leakage of information extracted. However, gene sets from individual collections are heterogenous in gene element composition, number, and the contextual meaning embraced in names. Indeed, there was a limit to deriving functions with high accuracy and reliability simply from gene set names. The comparison of multiple gene set collections showed that although the gene sets had similar names, the gene elements were extremely heterogeneous. Thus, the type of collection chosen and the analytical context influence the interpretation of GSEA results. Nonetheless, the analyses of multiple collections made it possible to derive robust and consistent function identifications. This study confirmed several well-described roles of RhoA and revealed less explored functions, suggesting future research directions.
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spelling pubmed-87248442022-01-07 Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis Chun, Kwang-Hoon Biomol Ther (Seoul) Original Article The small GTPase RhoA has been studied extensively for its role in actin dynamics. In this study, multiple bioinformatics tools were applied cooperatively to the microarray dataset GSE64714 to explore previously unidentified functions of RhoA. Comparative gene expression analysis revealed 545 differentially expressed genes in RhoA-null cells versus controls. Gene set enrichment analysis (GSEA) was conducted with three gene set collections: (1) the hallmark, (2) the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and (3) the Gene Ontology Biological Process. GSEA results showed that RhoA is related strongly to diverse pathways: cell cycle/growth, DNA repair, metabolism, keratinization, response to fungus, and vesicular transport. These functions were verified by heatmap analysis, KEGG pathway diagramming, and direct acyclic graphing. The use of multiple gene set collections restricted the leakage of information extracted. However, gene sets from individual collections are heterogenous in gene element composition, number, and the contextual meaning embraced in names. Indeed, there was a limit to deriving functions with high accuracy and reliability simply from gene set names. The comparison of multiple gene set collections showed that although the gene sets had similar names, the gene elements were extremely heterogeneous. Thus, the type of collection chosen and the analytical context influence the interpretation of GSEA results. Nonetheless, the analyses of multiple collections made it possible to derive robust and consistent function identifications. This study confirmed several well-described roles of RhoA and revealed less explored functions, suggesting future research directions. The Korean Society of Applied Pharmacology 2022-01-01 2021-08-25 /pmc/articles/PMC8724844/ /pubmed/34429388 http://dx.doi.org/10.4062/biomolther.2021.075 Text en Copyright © 2022, The Korean Society of Applied Pharmacology https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Chun, Kwang-Hoon
Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis
title Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis
title_full Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis
title_fullStr Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis
title_full_unstemmed Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis
title_short Discovery of Cellular RhoA Functions by the Integrated Application of Gene Set Enrichment Analysis
title_sort discovery of cellular rhoa functions by the integrated application of gene set enrichment analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724844/
https://www.ncbi.nlm.nih.gov/pubmed/34429388
http://dx.doi.org/10.4062/biomolther.2021.075
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