Cargando…
Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis
INTRODUCTION: Staphylococcus aureus is a gram-positive bacterium that causes serious infection. With the increasing resistance of bacteria to current antibiotics, it is necessary to learn more about the molecular mechanism and cellular pathways involved in the Staphylococcus aureus infection. METHOD...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633612/ https://www.ncbi.nlm.nih.gov/pubmed/34852788 http://dx.doi.org/10.1186/s12866-021-02392-y |
_version_ | 1784607966223138816 |
---|---|
author | Li, Jia-xin Cao, Xun-jie Huang, Yuan-yi Li, Ya-ping Yu, Zi-yuan Lin, Min Li, Qiu-ying Chen, Ji-chun Guo, Xu-guang |
author_facet | Li, Jia-xin Cao, Xun-jie Huang, Yuan-yi Li, Ya-ping Yu, Zi-yuan Lin, Min Li, Qiu-ying Chen, Ji-chun Guo, Xu-guang |
author_sort | Li, Jia-xin |
collection | PubMed |
description | INTRODUCTION: Staphylococcus aureus is a gram-positive bacterium that causes serious infection. With the increasing resistance of bacteria to current antibiotics, it is necessary to learn more about the molecular mechanism and cellular pathways involved in the Staphylococcus aureus infection. METHODS: We downloaded the GSE33341 dataset from the GEO database and applied the weighted gene co-expression network analysis (WGCNA), from which we obtained some critical modules. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) were applied to illustrate the biological functions of genes in these modules. We constructed the protein-protein interaction (PPI) network by Cytoscape and selected five candidate hub genes. Five potential hub genes were validated in GSE30119 by GraphPad Prism 8.0. The diagnostic values of these genes were calculated and present in the ROC curve based on the GSE13670 dataset. Their gene functions were analyzed by Gene Set Enrichment Analysis (GSEA). RESULTS: A co-expression network was built with 5000 genes divided into 11 modules. The genes in green and turquoise modules demonstrated a high correlation. According to the KEGG and GO analyses, genes in the green module were closely related to ubiquitination and autophagy. Subsequently, we picked out the top five hub genes in the green module. And UBB was determined as the hub gene in the GSE30119 dataset. The expression level of UBB, ASB, and MKRN1 could significantly differentiate between Staphylococcus aureus infection and healthy controls based on the ROC curve. The GSEA analysis indicated that lower expression levels of UBB were associated with the P53 signal pathway. CONCLUSIONS: We identified some hub genes and significant signal enrichment pathways in Staphylococcus aureus infection via bioinformatics analysis, which may facilitate the development of potential clinical therapeutic strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-021-02392-y. |
format | Online Article Text |
id | pubmed-8633612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86336122021-12-01 Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis Li, Jia-xin Cao, Xun-jie Huang, Yuan-yi Li, Ya-ping Yu, Zi-yuan Lin, Min Li, Qiu-ying Chen, Ji-chun Guo, Xu-guang BMC Microbiol Research INTRODUCTION: Staphylococcus aureus is a gram-positive bacterium that causes serious infection. With the increasing resistance of bacteria to current antibiotics, it is necessary to learn more about the molecular mechanism and cellular pathways involved in the Staphylococcus aureus infection. METHODS: We downloaded the GSE33341 dataset from the GEO database and applied the weighted gene co-expression network analysis (WGCNA), from which we obtained some critical modules. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) were applied to illustrate the biological functions of genes in these modules. We constructed the protein-protein interaction (PPI) network by Cytoscape and selected five candidate hub genes. Five potential hub genes were validated in GSE30119 by GraphPad Prism 8.0. The diagnostic values of these genes were calculated and present in the ROC curve based on the GSE13670 dataset. Their gene functions were analyzed by Gene Set Enrichment Analysis (GSEA). RESULTS: A co-expression network was built with 5000 genes divided into 11 modules. The genes in green and turquoise modules demonstrated a high correlation. According to the KEGG and GO analyses, genes in the green module were closely related to ubiquitination and autophagy. Subsequently, we picked out the top five hub genes in the green module. And UBB was determined as the hub gene in the GSE30119 dataset. The expression level of UBB, ASB, and MKRN1 could significantly differentiate between Staphylococcus aureus infection and healthy controls based on the ROC curve. The GSEA analysis indicated that lower expression levels of UBB were associated with the P53 signal pathway. CONCLUSIONS: We identified some hub genes and significant signal enrichment pathways in Staphylococcus aureus infection via bioinformatics analysis, which may facilitate the development of potential clinical therapeutic strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-021-02392-y. BioMed Central 2021-12-01 /pmc/articles/PMC8633612/ /pubmed/34852788 http://dx.doi.org/10.1186/s12866-021-02392-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Jia-xin Cao, Xun-jie Huang, Yuan-yi Li, Ya-ping Yu, Zi-yuan Lin, Min Li, Qiu-ying Chen, Ji-chun Guo, Xu-guang Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis |
title | Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis |
title_full | Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis |
title_fullStr | Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis |
title_full_unstemmed | Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis |
title_short | Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis |
title_sort | investigation of hub gene associated with the infection of staphylococcus aureus via weighted gene co-expression network analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633612/ https://www.ncbi.nlm.nih.gov/pubmed/34852788 http://dx.doi.org/10.1186/s12866-021-02392-y |
work_keys_str_mv | AT lijiaxin investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis AT caoxunjie investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis AT huangyuanyi investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis AT liyaping investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis AT yuziyuan investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis AT linmin investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis AT liqiuying investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis AT chenjichun investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis AT guoxuguang investigationofhubgeneassociatedwiththeinfectionofstaphylococcusaureusviaweightedgenecoexpressionnetworkanalysis |