Computational methods have significantly transformed biomedical research,offering a comprehensive exploration of disease mechanisms and molecular protein functions.This article reviews a spectrum of computational tools...Computational methods have significantly transformed biomedical research,offering a comprehensive exploration of disease mechanisms and molecular protein functions.This article reviews a spectrum of computational tools and network analysis databases that play a crucial role in identifying potential interactions and signaling networks contributing to the onset of disease states.The utilization of protein/gene interaction and genetic variation databases,coupled with pathway analysis can facilitate the identification of potential drug targets.By bridging the gap between molecular-level information and disease understanding,this review contributes insights into the impactful utilization of computational methods,paving the way for targeted interventions and therapeutic advancements in biomedical research.展开更多
In recent years,a large number of differentially expressed genes have been identified in human umbilical cord mesenchymal stem cell(hUMSC)transplants for the treatment of ischemic cerebral infarction.These genes are i...In recent years,a large number of differentially expressed genes have been identified in human umbilical cord mesenchymal stem cell(hUMSC)transplants for the treatment of ischemic cerebral infarction.These genes are involved in various biochemical processes,but the role of microRNAs(miRNAs)in this process is still unclear.From the Gene Expression Omnibus(GEO)database,we downloaded two microarray datasets for GSE78731(messenger RNA(mRNA)profile)and GSE97532(miRNA profile).The differentially expressed genes screened were compared between the hUMSC group and the middle cerebral artery occlusion group.Gene ontology enrichment and pathway enrichment analyses were subsequently conducted using the online Database for Annotation,Visualization,and Integrated Discovery.Identified genes were applied to perform weighted gene co-suppression analyses,to establish a weighted co-expression network model.Furthermore,the protein-protein interaction network for differentially expressed genes from turquoise modules was built using Cytoscape(version 3.40)and the most highly correlated subnetwork was extracted from the protein-protein interaction network using the MCODE plugin.The predicted target genes for differentially expressed miRNAs were also identified using the online database starBase v3.0.A total of 3698 differentially expressed genes were identified.Gene ontology analysis demonstrated that differentially expressed genes that are related to hUMSC treatment of ischemic cerebral infarction are involved in endocytosis and inflammatory responses.We identified 12 differentially expressed miRNAs in middle cerebral artery occlusion rats after hUMSC treatment,and these differentially expressed miRNAs were mainly involved in signaling in inflammatory pathways,such as in the regulation of neutrophil migration.In conclusion,we have identified a number of differentially expressed genes and differentially expressed mRNAs,miRNA-mRNAs,and signaling pathways involved in the hUMSC treatment of ischemic cerebral infarction.Bioinformatics and interaction analyses can provide novel clues for further research into hUMSC treatment of ischemic cerebral infarction.展开更多
Alzheimer disease has been defined as Type 3 Diabetes due to their shared metabolic profiles. Like our previously research, results of Alzheimer’s disease and other neurodegenerative diseases, systematic analysis of ...Alzheimer disease has been defined as Type 3 Diabetes due to their shared metabolic profiles. Like our previously research, results of Alzheimer’s disease and other neurodegenerative diseases, systematic analysis of diabetes- and glucose metabolism-related proteins also provides help in the treatment of Alzheimer’s patients. Some interesting results indicate that diabetes-related proteins (DRPs) are rich in Lys and the content of Trp can distinguish between type 1 and type 2 diabetes mellitus in particular, while glucose metabolism-related proteins (GMRPs) possess Leurich and Trp-poor character. Moreover, the usage biases of codons depend on GC contents to a great extent, in concord with all codons of the highly expressed genes with the terminal of C/G. Especially, the deficit of CpG dinucleotides is largely attributed to the hypermutability of methylated CpGs to UpGs by the mutational pressure. Besides a common node insulin receptor, there are some similar node proteins, such as glucose transporter member, protein tyrosine phosphatase, and adipose metabolism signal protein. The sharing proteins involve glucagon, amylin, insulin, PPARγ, angiopoietin, PC-1/ENPP1, and adiponectin mediated signal pathway. Meanwhile, the gene sequences of node proteins contained the binding sites of 37 transcription factors divide into four kinds of superclasses. Additionally, BAD complex can integrate pathways of glucose metabolism and apoptosis by BH3 domain of BAD directly interacting with GK as well as GK binding with the consensus motif [G]-[1]-[K]-[2]-[S/T] or [L/M]-[R/K]-[2]-[T] of PP1 or WAVE1. This facilitates the therapies for diabetes mellitus as well as Alzheimer’s disease.展开更多
目的揭示参与绝经后骨质疏松症(postmenopausal osteoporosis,PMOP)生理病理过程的核心基因,并预测可能与之相互作用的微小核糖核酸(micro-ribonucleic acid,miRNA)。方法选取NCBI基因表达综合数据库基因芯片GSE57273,应用GEO2R和Morph...目的揭示参与绝经后骨质疏松症(postmenopausal osteoporosis,PMOP)生理病理过程的核心基因,并预测可能与之相互作用的微小核糖核酸(micro-ribonucleic acid,miRNA)。方法选取NCBI基因表达综合数据库基因芯片GSE57273,应用GEO2R和Morpheus分析软件获得差异基因(differentially expressed genes,DEGs),并通过DAVID(Database for Annotation,Visualization and Integrated Discovery)进行功能富集分析。应用STRING(Search Tool for the Retrieval of Interacting Genes)、Cytoscape和MCODE(Molecular Complex Detection)软件建立蛋白相互作用网络计算DEGs的各个连接度并分析网络集簇模块。由CyTargetLinker预测与核心基因互作的miRNA。结果本研究共获得841个DEGs,其功能主要富集于基因表达过程,细胞大分子生物合成过程等。蛋白相互作用网络共包含523个节点与2 026条连线。本研究列出了前3个集簇模块,同时筛选出10个核心基因:HSP90AA1、EP300、SMARCA2、RANBP2、ASH1L、EIF4E、PTEN、CNOT6L、RPL7、KRAS,并预测出37个miRNA可与其中7个核心基因靶向性相互作用。结论核心基因与其相互作用的miRNA的发现可能有助于了解PMOP的病理机制,或为药物的开发提供治疗靶点。同时,通过对核心基因富集功能的鉴定为PMOP建立新的科学假说提供依据。展开更多
基金This work was supported by EU funding within the NextGenerationEU-MUR PNRR Extended Partnership Initiative on Emerging Infectious Diseases(Project No.PE00000007,INF-ACT)。
文摘Computational methods have significantly transformed biomedical research,offering a comprehensive exploration of disease mechanisms and molecular protein functions.This article reviews a spectrum of computational tools and network analysis databases that play a crucial role in identifying potential interactions and signaling networks contributing to the onset of disease states.The utilization of protein/gene interaction and genetic variation databases,coupled with pathway analysis can facilitate the identification of potential drug targets.By bridging the gap between molecular-level information and disease understanding,this review contributes insights into the impactful utilization of computational methods,paving the way for targeted interventions and therapeutic advancements in biomedical research.
基金supported by the National Key Research&Development Program of China,No.2016YFC1301600Program for Jilin University Science and Technology Innovation Team,No.2017TD-12(both to YY)
文摘In recent years,a large number of differentially expressed genes have been identified in human umbilical cord mesenchymal stem cell(hUMSC)transplants for the treatment of ischemic cerebral infarction.These genes are involved in various biochemical processes,but the role of microRNAs(miRNAs)in this process is still unclear.From the Gene Expression Omnibus(GEO)database,we downloaded two microarray datasets for GSE78731(messenger RNA(mRNA)profile)and GSE97532(miRNA profile).The differentially expressed genes screened were compared between the hUMSC group and the middle cerebral artery occlusion group.Gene ontology enrichment and pathway enrichment analyses were subsequently conducted using the online Database for Annotation,Visualization,and Integrated Discovery.Identified genes were applied to perform weighted gene co-suppression analyses,to establish a weighted co-expression network model.Furthermore,the protein-protein interaction network for differentially expressed genes from turquoise modules was built using Cytoscape(version 3.40)and the most highly correlated subnetwork was extracted from the protein-protein interaction network using the MCODE plugin.The predicted target genes for differentially expressed miRNAs were also identified using the online database starBase v3.0.A total of 3698 differentially expressed genes were identified.Gene ontology analysis demonstrated that differentially expressed genes that are related to hUMSC treatment of ischemic cerebral infarction are involved in endocytosis and inflammatory responses.We identified 12 differentially expressed miRNAs in middle cerebral artery occlusion rats after hUMSC treatment,and these differentially expressed miRNAs were mainly involved in signaling in inflammatory pathways,such as in the regulation of neutrophil migration.In conclusion,we have identified a number of differentially expressed genes and differentially expressed mRNAs,miRNA-mRNAs,and signaling pathways involved in the hUMSC treatment of ischemic cerebral infarction.Bioinformatics and interaction analyses can provide novel clues for further research into hUMSC treatment of ischemic cerebral infarction.
文摘Alzheimer disease has been defined as Type 3 Diabetes due to their shared metabolic profiles. Like our previously research, results of Alzheimer’s disease and other neurodegenerative diseases, systematic analysis of diabetes- and glucose metabolism-related proteins also provides help in the treatment of Alzheimer’s patients. Some interesting results indicate that diabetes-related proteins (DRPs) are rich in Lys and the content of Trp can distinguish between type 1 and type 2 diabetes mellitus in particular, while glucose metabolism-related proteins (GMRPs) possess Leurich and Trp-poor character. Moreover, the usage biases of codons depend on GC contents to a great extent, in concord with all codons of the highly expressed genes with the terminal of C/G. Especially, the deficit of CpG dinucleotides is largely attributed to the hypermutability of methylated CpGs to UpGs by the mutational pressure. Besides a common node insulin receptor, there are some similar node proteins, such as glucose transporter member, protein tyrosine phosphatase, and adipose metabolism signal protein. The sharing proteins involve glucagon, amylin, insulin, PPARγ, angiopoietin, PC-1/ENPP1, and adiponectin mediated signal pathway. Meanwhile, the gene sequences of node proteins contained the binding sites of 37 transcription factors divide into four kinds of superclasses. Additionally, BAD complex can integrate pathways of glucose metabolism and apoptosis by BH3 domain of BAD directly interacting with GK as well as GK binding with the consensus motif [G]-[1]-[K]-[2]-[S/T] or [L/M]-[R/K]-[2]-[T] of PP1 or WAVE1. This facilitates the therapies for diabetes mellitus as well as Alzheimer’s disease.
文摘目的揭示参与绝经后骨质疏松症(postmenopausal osteoporosis,PMOP)生理病理过程的核心基因,并预测可能与之相互作用的微小核糖核酸(micro-ribonucleic acid,miRNA)。方法选取NCBI基因表达综合数据库基因芯片GSE57273,应用GEO2R和Morpheus分析软件获得差异基因(differentially expressed genes,DEGs),并通过DAVID(Database for Annotation,Visualization and Integrated Discovery)进行功能富集分析。应用STRING(Search Tool for the Retrieval of Interacting Genes)、Cytoscape和MCODE(Molecular Complex Detection)软件建立蛋白相互作用网络计算DEGs的各个连接度并分析网络集簇模块。由CyTargetLinker预测与核心基因互作的miRNA。结果本研究共获得841个DEGs,其功能主要富集于基因表达过程,细胞大分子生物合成过程等。蛋白相互作用网络共包含523个节点与2 026条连线。本研究列出了前3个集簇模块,同时筛选出10个核心基因:HSP90AA1、EP300、SMARCA2、RANBP2、ASH1L、EIF4E、PTEN、CNOT6L、RPL7、KRAS,并预测出37个miRNA可与其中7个核心基因靶向性相互作用。结论核心基因与其相互作用的miRNA的发现可能有助于了解PMOP的病理机制,或为药物的开发提供治疗靶点。同时,通过对核心基因富集功能的鉴定为PMOP建立新的科学假说提供依据。
