{"title":"登革热感染期间基因表达谱分析用于鉴定新基因特征","authors":"Jhansi Venkata Nagamani Josyula , Prathima Talari , Agiesh Kumar Balakrishna Pillai , Srinivasa Rao Mutheneni","doi":"10.1016/j.imj.2023.02.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Dengue is a major arthropod-borne viral disease spreading rapidly across the globe. The absence of vaccines and inadequate vector control measures leads to further expansion of dengue in many regions globally. Hence, the identification of genes involved in the pathogenesis of dengue will help to understand the molecular basis of the disease and the genes responsible for the disease progression.</p></div><div><h3>Methods</h3><p>In the present study, a meta-analysis was carried out using dengue gene expression data obtained from Gene Expression Omnibus repository. The differentially expressed genes such as CCNB1 and CCNB2 (G2/mitotic-specific cyclin-B2 and B1) were upregulated in dengue fever to control (DF-CO) and severe dengue (dengue hemorrhagic fever [DHF]) to control (DHF-CO) were identified as key genes for controlling the major pathways (cell cycle, oocyte meiosis, p53 signaling pathway, cellular senescence and progesterone-mediated oocyte maturation). Similarly, interferon alpha-inducible (IFI27) genes, type-I and type-III interferon (IFN) signaling genes (STAT1 and STAT2), B cell activation and survival genes (TNFSF13B, TNFRSF17) and toll like receptor (TLR7) genes were differentially up activated during DF-CO and DHF-CO. Followed by, Cytoscape was used to identify the immune system process and topological analysis.</p></div><div><h3>Results</h3><p>The results showed that the top differentially expressed genes under the statistical significance <em>p</em> <0.001, which is majorly involved in Kyoto Encyclopedia of Genes and Genomes orthology K05868 and K21770 with gene names CCNB1 and CCNB2. In addition to this, the immune system profile showed up-regulation of IL12A, CXCR3, TNFSF13B, IFI27, TNFRSF17, STAT, STAT2, and TLR7 genes in DF-CO and DHF-CO act as immunological signatures for inducing the immune response towards dengue infection.</p></div><div><h3>Conclusions</h3><p>The current study could aid in understanding of molecular pathogenesis, genes and corresponding pathway upon dengue infection, and could facilitate for identification of novel drug targets and prognostic markers.</p></div>","PeriodicalId":100667,"journal":{"name":"Infectious Medicine","volume":"2 1","pages":"Pages 19-30"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of gene expression profile for identification of novel gene signatures during dengue infection\",\"authors\":\"Jhansi Venkata Nagamani Josyula , Prathima Talari , Agiesh Kumar Balakrishna Pillai , Srinivasa Rao Mutheneni\",\"doi\":\"10.1016/j.imj.2023.02.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Dengue is a major arthropod-borne viral disease spreading rapidly across the globe. The absence of vaccines and inadequate vector control measures leads to further expansion of dengue in many regions globally. Hence, the identification of genes involved in the pathogenesis of dengue will help to understand the molecular basis of the disease and the genes responsible for the disease progression.</p></div><div><h3>Methods</h3><p>In the present study, a meta-analysis was carried out using dengue gene expression data obtained from Gene Expression Omnibus repository. The differentially expressed genes such as CCNB1 and CCNB2 (G2/mitotic-specific cyclin-B2 and B1) were upregulated in dengue fever to control (DF-CO) and severe dengue (dengue hemorrhagic fever [DHF]) to control (DHF-CO) were identified as key genes for controlling the major pathways (cell cycle, oocyte meiosis, p53 signaling pathway, cellular senescence and progesterone-mediated oocyte maturation). Similarly, interferon alpha-inducible (IFI27) genes, type-I and type-III interferon (IFN) signaling genes (STAT1 and STAT2), B cell activation and survival genes (TNFSF13B, TNFRSF17) and toll like receptor (TLR7) genes were differentially up activated during DF-CO and DHF-CO. Followed by, Cytoscape was used to identify the immune system process and topological analysis.</p></div><div><h3>Results</h3><p>The results showed that the top differentially expressed genes under the statistical significance <em>p</em> <0.001, which is majorly involved in Kyoto Encyclopedia of Genes and Genomes orthology K05868 and K21770 with gene names CCNB1 and CCNB2. In addition to this, the immune system profile showed up-regulation of IL12A, CXCR3, TNFSF13B, IFI27, TNFRSF17, STAT, STAT2, and TLR7 genes in DF-CO and DHF-CO act as immunological signatures for inducing the immune response towards dengue infection.</p></div><div><h3>Conclusions</h3><p>The current study could aid in understanding of molecular pathogenesis, genes and corresponding pathway upon dengue infection, and could facilitate for identification of novel drug targets and prognostic markers.</p></div>\",\"PeriodicalId\":100667,\"journal\":{\"name\":\"Infectious Medicine\",\"volume\":\"2 1\",\"pages\":\"Pages 19-30\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infectious Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772431X23000072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infectious Medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772431X23000072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
登革热是一种主要的节肢动物传播的病毒性疾病,在全球范围内迅速传播。由于缺乏疫苗和病媒控制措施不足,登革热在全球许多地区进一步扩大。因此,识别参与登革热发病机制的基因将有助于了解该疾病的分子基础和负责疾病进展的基因。方法利用基因表达综合库中的登革热基因表达数据进行荟萃分析。差异表达基因如CCNB1和CCNB2(G2/有丝分裂特异性cyclin-B2和B1)在登革热控制(DF-CO)和严重登革热(登革出血热[DHF])控制(DHF-CO)中被鉴定为控制主要途径的关键基因(细胞周期、卵母细胞减数分裂、p53信号通路、细胞衰老和黄体酮介导的卵母细胞成熟)。类似地,干扰素-α诱导型(IFI27)基因、I型和III型干扰素(IFN)信号传导基因(STAT1和STAT2)、B细胞活化和存活基因(TNFSF13B、TNFRSF17)和toll样受体(TLR7)基因在DF-CO和DHF-CO期间被不同地上调激活。其次,利用Cytoscape对免疫系统过程进行了识别和拓扑分析。结果差异表达基因最高的基因在p<;0.001,主要涉及基因名为CCNB1和CCNB2的Kyoto Encyclopedia of Genes and Genomes orthology K05868和K21770。除此之外,免疫系统图谱显示,DF-CO和DHF-CO中的IL12A、CXCR3、TNFSF13B、IFI27、TNFRSF17、STAT、STAT2和TLR7基因作为诱导登革热感染免疫反应的免疫信号。结论本研究有助于了解登革热感染的分子发病机制、基因及其相应途径,有助于确定新的药物靶点和预后标志物。
Analysis of gene expression profile for identification of novel gene signatures during dengue infection
Background
Dengue is a major arthropod-borne viral disease spreading rapidly across the globe. The absence of vaccines and inadequate vector control measures leads to further expansion of dengue in many regions globally. Hence, the identification of genes involved in the pathogenesis of dengue will help to understand the molecular basis of the disease and the genes responsible for the disease progression.
Methods
In the present study, a meta-analysis was carried out using dengue gene expression data obtained from Gene Expression Omnibus repository. The differentially expressed genes such as CCNB1 and CCNB2 (G2/mitotic-specific cyclin-B2 and B1) were upregulated in dengue fever to control (DF-CO) and severe dengue (dengue hemorrhagic fever [DHF]) to control (DHF-CO) were identified as key genes for controlling the major pathways (cell cycle, oocyte meiosis, p53 signaling pathway, cellular senescence and progesterone-mediated oocyte maturation). Similarly, interferon alpha-inducible (IFI27) genes, type-I and type-III interferon (IFN) signaling genes (STAT1 and STAT2), B cell activation and survival genes (TNFSF13B, TNFRSF17) and toll like receptor (TLR7) genes were differentially up activated during DF-CO and DHF-CO. Followed by, Cytoscape was used to identify the immune system process and topological analysis.
Results
The results showed that the top differentially expressed genes under the statistical significance p <0.001, which is majorly involved in Kyoto Encyclopedia of Genes and Genomes orthology K05868 and K21770 with gene names CCNB1 and CCNB2. In addition to this, the immune system profile showed up-regulation of IL12A, CXCR3, TNFSF13B, IFI27, TNFRSF17, STAT, STAT2, and TLR7 genes in DF-CO and DHF-CO act as immunological signatures for inducing the immune response towards dengue infection.
Conclusions
The current study could aid in understanding of molecular pathogenesis, genes and corresponding pathway upon dengue infection, and could facilitate for identification of novel drug targets and prognostic markers.