Detailed Information

Cited 3 time in webofscience Cited 4 time in scopus
Metadata Downloads

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

Authors
Chun, Kwang-Hoon
Issue Date
Jan-2022
Publisher
KOREAN SOC APPLIED PHARMACOLOGY
Keywords
RhoA; Gene Set Enrichment Analysis (GSEA); GSE64714; Kyoto Encyclopedia of Genes and Genomes (KEGG) path- way; Hallmark pathway; Gene ontology
Citation
BIOMOLECULES & THERAPEUTICS, v.30, no.1, pp.98 - 116
Journal Title
BIOMOLECULES & THERAPEUTICS
Volume
30
Number
1
Start Page
98
End Page
116
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/83355
DOI
10.4062/biomolther.2021.075
ISSN
1976-9148
Abstract
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
약학대학 > 약학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Chun, Kwang Hun photo

Chun, Kwang Hun
Pharmacy (Dept.of Pharmacy)
Read more

Altmetrics

Total Views & Downloads

BROWSE