{"title":"Identification of differentially expressed genes and pathways in diquat and paraquat poisoning using bioinformatics analysis","authors":"C. Miao, Dandan Fan","doi":"10.1080/15376516.2022.2063095","DOIUrl":null,"url":null,"abstract":"Abstract Objective In this study, differentially expressed genes (DEGs) and signaling pathways involved in diquat (DQ) and paraquat (PQ) poisoning were identified via bioinformatics analysis, in order to inform the development of novel clinical treatments. Methods Raw data from GSE153959 were downloaded from the Gene Expression Omnibus database. DEGs of the DQ vs. control (CON) and PQ vs. CON comparison groups were identified using R, and DEGs shared by the two groups were identified using TBtools. Subsequently, the shared DEGs were searched in the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, using the Database for Annotation, Visualization, and Integrated Discovery. A protein–protein interaction (PPI) network was constructed, and hub genes were identified using the cytoHubba plug-in in Cytoscape software. Finally, circos and contrast plots showing the DEGs shared between mouse and human chromosomes were constructed using TBtools. Results Thirty-one DEGs shared by the DQ and PQ groups were identified. Enriched biological process terms included positive regulation of cell proliferation and translation. Enriched cellular component terms included extracellular region, intracellular membrane-bounded organelle and mitochondrion. Enriched molecular function terms included transcription factor activity and sequence-specific double-stranded DNA binding. Enriched KEGG pathways included the interleukin-17 signaling pathway, tumor necrosis factor signaling pathway, and human T-cell leukemia virus 1 infection. The top 10 hub genes in the PPI network were prostaglandin-endoperoxide synthase 2 (Ptgs2), chemokine (C-X-C motif) ligand 2 (Cxcl2), colony-stimulating factor 2 (granulocyte-macrophage) (Csf2), matrix metallopeptidase 13 (Mmp13), amphiregulin (Areg), plasminogen activator, urokinase receptor (Plaur), fos-like antigen 1 (Fosl1), epiregulin (Ereg), activating transcription factor 3 (Atf3), and transferrin receptor (Tfrc). Cxcl2, Csf2, and Atf3 played important roles in the mitogen-activated protein kinase (MAPK) signaling pathway. Conclusions These pathways and DEGs may serve as targets for gene therapy.","PeriodicalId":49117,"journal":{"name":"Toxicology Mechanisms and Methods","volume":"32 1","pages":"678 - 685"},"PeriodicalIF":2.8000,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Toxicology Mechanisms and Methods","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/15376516.2022.2063095","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
引用次数: 4
Abstract
Abstract Objective In this study, differentially expressed genes (DEGs) and signaling pathways involved in diquat (DQ) and paraquat (PQ) poisoning were identified via bioinformatics analysis, in order to inform the development of novel clinical treatments. Methods Raw data from GSE153959 were downloaded from the Gene Expression Omnibus database. DEGs of the DQ vs. control (CON) and PQ vs. CON comparison groups were identified using R, and DEGs shared by the two groups were identified using TBtools. Subsequently, the shared DEGs were searched in the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, using the Database for Annotation, Visualization, and Integrated Discovery. A protein–protein interaction (PPI) network was constructed, and hub genes were identified using the cytoHubba plug-in in Cytoscape software. Finally, circos and contrast plots showing the DEGs shared between mouse and human chromosomes were constructed using TBtools. Results Thirty-one DEGs shared by the DQ and PQ groups were identified. Enriched biological process terms included positive regulation of cell proliferation and translation. Enriched cellular component terms included extracellular region, intracellular membrane-bounded organelle and mitochondrion. Enriched molecular function terms included transcription factor activity and sequence-specific double-stranded DNA binding. Enriched KEGG pathways included the interleukin-17 signaling pathway, tumor necrosis factor signaling pathway, and human T-cell leukemia virus 1 infection. The top 10 hub genes in the PPI network were prostaglandin-endoperoxide synthase 2 (Ptgs2), chemokine (C-X-C motif) ligand 2 (Cxcl2), colony-stimulating factor 2 (granulocyte-macrophage) (Csf2), matrix metallopeptidase 13 (Mmp13), amphiregulin (Areg), plasminogen activator, urokinase receptor (Plaur), fos-like antigen 1 (Fosl1), epiregulin (Ereg), activating transcription factor 3 (Atf3), and transferrin receptor (Tfrc). Cxcl2, Csf2, and Atf3 played important roles in the mitogen-activated protein kinase (MAPK) signaling pathway. Conclusions These pathways and DEGs may serve as targets for gene therapy.
期刊介绍:
Toxicology Mechanisms and Methods is a peer-reviewed journal whose aim is twofold. Firstly, the journal contains original research on subjects dealing with the mechanisms by which foreign chemicals cause toxic tissue injury. Chemical substances of interest include industrial compounds, environmental pollutants, hazardous wastes, drugs, pesticides, and chemical warfare agents. The scope of the journal spans from molecular and cellular mechanisms of action to the consideration of mechanistic evidence in establishing regulatory policy.
Secondly, the journal addresses aspects of the development, validation, and application of new and existing laboratory methods, techniques, and equipment. A variety of research methods are discussed, including:
In vivo studies with standard and alternative species
In vitro studies and alternative methodologies
Molecular, biochemical, and cellular techniques
Pharmacokinetics and pharmacodynamics
Mathematical modeling and computer programs
Forensic analyses
Risk assessment
Data collection and analysis.