Background:Screening key target genes for pulmonary arterial hypertension(PAH)based on bioinformatics to provide a reference for the clinical development of drugs to cure PAH.Methods:The keyword“pulmonary arterial hy...Background:Screening key target genes for pulmonary arterial hypertension(PAH)based on bioinformatics to provide a reference for the clinical development of drugs to cure PAH.Methods:The keyword“pulmonary arterial hypertension”was used to search related genes in the National Center for Biotechnology Information database(NCBI).The obtained genes data was input to the database of Database for Annotation,Visualization and Integrated Discovery(DAVID)(Version 6.8)to collect relevant information about pathways and genes.And the data of genes were enriched in 37 pathways and genes with occurrence frequency≥10 were respectively imported into the String database to construct protein-protein interaction(PPI)network diagrams,and the two network diagrams were compared.Results:VEGFA,MAPK1,MAPK3,IL6,JUN and TNF were among the highest-ranked genes in two network diagrams.Conclusion:The pathogenesis of PAH is associated with multiple pathways such as the TGF-βsignaling pathway,PI3K-Akt signaling pathway,MAPK signaling pathway,HIF-1 signaling pathway and so on.The study of VEGFA,MAPK1,MAPK3,IL6,JUN and TNF are closely related to PAH is necessary for us to study further.Through gene interaction network and pathway analysis of disease-associated genes,which will help us to screen the critical target genes of PAH and provide a reference for clinical development of effective drugs for PAH.展开更多
Objective:To use bioinformatics and gene networks to screen key target genes of coronavirus disease 2019,which provides references for clinical research and development of drugs for coronavirus disease 2019.Methods:Ta...Objective:To use bioinformatics and gene networks to screen key target genes of coronavirus disease 2019,which provides references for clinical research and development of drugs for coronavirus disease 2019.Methods:Target genes related to coronavirus disease 2019 were screened in the GeneCards and National Center for Biotechnology Information databases,and the obtained gene data were imported into the Database for Annotation,Visualization and Integrated Discovery(Version 6.8)database to collect the related information about pathways and genes.The genes enriched in the first 20 pathways and the genes whose occurrence frequency≥5 were imported into the String database respectively to construct protein-protein interaction network diagram and compare the two network diagrams.Results:TNF,IL-6,IL-2,IL-8,CXCL8,IL1B,CCL2,IFNG,STAT1,MAPK1,MAPK3,MAPK8,TP53 and RELA are ranked top in the two network diagrams,and the frequency of occurrence in the first 20 pathways was≥5.Conclusion:The incidence of coronavirus disease 2019 is associated with multiple signaling pathways,including influenza A,pathways in cancer,toll-like receptor signaling pathway,hypoxia-inducible factor-1 signaling pathway,et al.TNF,IL-6,IL-2,IL-8,CXCL8,IL1B,CCL2,IFNG,STAT1,MAPK1,MAPK3,MAPK8,TP53 and RELA are closely related to coronavirus disease 2019,which needs to be further studied.By analyzing the pathways of the genes related to coronavirus disease 2019 and the interactive network diagrams between the genes,it is helpful to understand the pathogenesis of the disease and provide a reference for clinical research and development of effective drugs for coronavirus disease 2019.展开更多
Background:To provide a reference for the clinical development of drugs to suppress severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Methods:Retrieving genes related to SARS-CoV-2 with Genecards database an...Background:To provide a reference for the clinical development of drugs to suppress severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Methods:Retrieving genes related to SARS-CoV-2 with Genecards database and then importing the obtained gene data into the database of Database for Annotation,Visualization and Integrated Discovery(DAVID)(Version 6.8)to collect relevant information on pathways and genes.Genes enriched in the first 20 most significant pathways and genes with gene occurrence frequency≥6 were respectively imported into the STRING database to construct protein-protein interaction(PPI)network diagrams,and the two network diagrams were compared.Results:In the two network graphs,RELA,MAPK1,MAPK3,PIK3CA,PIK3R1,MAPK8,JAK1,STAT1,TNF,IL6,MAPK14,and IL1B ranked higher,and the occurrence frequency of the first 20 pathways was≥10.Conclusion:The pathogenesis of SARS-CoV-2 is associated with multiple pathways such as influenza A,TNF signaling pathway,chemokine signaling pathway,toll-like receptor signaling pathway,T cell receptor signaling pathway et al.RELA,MAPK1,MAPK3,PIK3CA,PIK3R1,MAPK8,JAK1,STAT1,TNF,IL6,MAPK14 and IL1B are closely related to SARS-CoV-2 and need further study.Gene interaction network and pathway analysis of diseaseassociated genes will help us to screen the key target genes of SARS-CoV-2 and provide a reference for the clinical development of effective drugs.展开更多
文摘Background:Screening key target genes for pulmonary arterial hypertension(PAH)based on bioinformatics to provide a reference for the clinical development of drugs to cure PAH.Methods:The keyword“pulmonary arterial hypertension”was used to search related genes in the National Center for Biotechnology Information database(NCBI).The obtained genes data was input to the database of Database for Annotation,Visualization and Integrated Discovery(DAVID)(Version 6.8)to collect relevant information about pathways and genes.And the data of genes were enriched in 37 pathways and genes with occurrence frequency≥10 were respectively imported into the String database to construct protein-protein interaction(PPI)network diagrams,and the two network diagrams were compared.Results:VEGFA,MAPK1,MAPK3,IL6,JUN and TNF were among the highest-ranked genes in two network diagrams.Conclusion:The pathogenesis of PAH is associated with multiple pathways such as the TGF-βsignaling pathway,PI3K-Akt signaling pathway,MAPK signaling pathway,HIF-1 signaling pathway and so on.The study of VEGFA,MAPK1,MAPK3,IL6,JUN and TNF are closely related to PAH is necessary for us to study further.Through gene interaction network and pathway analysis of disease-associated genes,which will help us to screen the critical target genes of PAH and provide a reference for clinical development of effective drugs for PAH.
文摘Objective:To use bioinformatics and gene networks to screen key target genes of coronavirus disease 2019,which provides references for clinical research and development of drugs for coronavirus disease 2019.Methods:Target genes related to coronavirus disease 2019 were screened in the GeneCards and National Center for Biotechnology Information databases,and the obtained gene data were imported into the Database for Annotation,Visualization and Integrated Discovery(Version 6.8)database to collect the related information about pathways and genes.The genes enriched in the first 20 pathways and the genes whose occurrence frequency≥5 were imported into the String database respectively to construct protein-protein interaction network diagram and compare the two network diagrams.Results:TNF,IL-6,IL-2,IL-8,CXCL8,IL1B,CCL2,IFNG,STAT1,MAPK1,MAPK3,MAPK8,TP53 and RELA are ranked top in the two network diagrams,and the frequency of occurrence in the first 20 pathways was≥5.Conclusion:The incidence of coronavirus disease 2019 is associated with multiple signaling pathways,including influenza A,pathways in cancer,toll-like receptor signaling pathway,hypoxia-inducible factor-1 signaling pathway,et al.TNF,IL-6,IL-2,IL-8,CXCL8,IL1B,CCL2,IFNG,STAT1,MAPK1,MAPK3,MAPK8,TP53 and RELA are closely related to coronavirus disease 2019,which needs to be further studied.By analyzing the pathways of the genes related to coronavirus disease 2019 and the interactive network diagrams between the genes,it is helpful to understand the pathogenesis of the disease and provide a reference for clinical research and development of effective drugs for coronavirus disease 2019.
文摘Background:To provide a reference for the clinical development of drugs to suppress severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Methods:Retrieving genes related to SARS-CoV-2 with Genecards database and then importing the obtained gene data into the database of Database for Annotation,Visualization and Integrated Discovery(DAVID)(Version 6.8)to collect relevant information on pathways and genes.Genes enriched in the first 20 most significant pathways and genes with gene occurrence frequency≥6 were respectively imported into the STRING database to construct protein-protein interaction(PPI)network diagrams,and the two network diagrams were compared.Results:In the two network graphs,RELA,MAPK1,MAPK3,PIK3CA,PIK3R1,MAPK8,JAK1,STAT1,TNF,IL6,MAPK14,and IL1B ranked higher,and the occurrence frequency of the first 20 pathways was≥10.Conclusion:The pathogenesis of SARS-CoV-2 is associated with multiple pathways such as influenza A,TNF signaling pathway,chemokine signaling pathway,toll-like receptor signaling pathway,T cell receptor signaling pathway et al.RELA,MAPK1,MAPK3,PIK3CA,PIK3R1,MAPK8,JAK1,STAT1,TNF,IL6,MAPK14 and IL1B are closely related to SARS-CoV-2 and need further study.Gene interaction network and pathway analysis of diseaseassociated genes will help us to screen the key target genes of SARS-CoV-2 and provide a reference for the clinical development of effective drugs.
