用网络分析鉴定登革病毒感染中miRNA-mRNA共表达。

Q2 Medicine
VirusDisease Pub Date : 2025-06-01 Epub Date: 2025-03-12 DOI:10.1007/s13337-025-00915-z
Rajesh Das, Sasivarman Selvam, Vigneshwar Suriya Prakash Sinnarasan, Dahrii Paul, Md Mujibur Rahman Sheikh, Amouda Venkatesan
{"title":"用网络分析鉴定登革病毒感染中miRNA-mRNA共表达。","authors":"Rajesh Das, Sasivarman Selvam, Vigneshwar Suriya Prakash Sinnarasan, Dahrii Paul, Md Mujibur Rahman Sheikh, Amouda Venkatesan","doi":"10.1007/s13337-025-00915-z","DOIUrl":null,"url":null,"abstract":"<p><p>Dengue virus (DENV), transmitted by Aedes mosquitoes, causes various illnesses, from mild dengue fever to severe dengue hemorrhagic fever and dengue shock syndrome. Understanding the molecular mechanisms underlying DENV infection is crucial for developing effective diagnostics and treatments. This study integrates mRNA and miRNA sequencing data to explore the regulatory networks involved in DENV infection. Samples from both DENV-infected and control conditions were analyzed. Differential expression analysis identified significantly altered genes and miRNAs. Target genes of differentially expressed miRNAs (DEMs) were identified using miRNet. Metascape is used to perform the functional enrichment analysis of target genes. Employing Pearson correlation analysis, potential regulatory relationships between miRNAs and mRNAs were determined. Receiver Operating Characteristic (ROC) analysis assessed the diagnostic potential of key miRNA-mRNA pairs. Differential expression analysis revealed a distinct set of Differentially Expressed Genes (DEGs) and miRNAs. Functional enrichment analysis indicated that upregulated genes were involved in processes such as DNA-templated transcription and cell division, while downregulated genes were associated with TNF-alpha signaling and blood vessel development. Pearson correlation analysis highlighted key negatively correlated miRNA-mRNA pairs. ROC analysis demonstrated high diagnostic potential for pairs such as TUBA1A-hsa-mir-205-5p, CXCL16-hsa-mir-205-5p, MED29-hsa-mir-148b-5p, PPARA-hsa-mir-3614-5p, and PTPRJ-hsa-mir-96-5p, with Area Under the Curve (AUC) values of 1. The study provides valuable insights into the miRNA-mRNA regulatory networks in DENV infection, identifying potential therapeutic targets and diagnostic key genes. The identified miRNA-mRNA interactions offer promising avenues for developing targeted therapies and improving DENV diagnostics, contributing to better management of dengue virus infections.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13337-025-00915-z.</p>","PeriodicalId":23708,"journal":{"name":"VirusDisease","volume":"36 2","pages":"285-294"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12474751/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identification of miRNA-mRNA Co-expression by network analysis in dengue virus infection.\",\"authors\":\"Rajesh Das, Sasivarman Selvam, Vigneshwar Suriya Prakash Sinnarasan, Dahrii Paul, Md Mujibur Rahman Sheikh, Amouda Venkatesan\",\"doi\":\"10.1007/s13337-025-00915-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Dengue virus (DENV), transmitted by Aedes mosquitoes, causes various illnesses, from mild dengue fever to severe dengue hemorrhagic fever and dengue shock syndrome. Understanding the molecular mechanisms underlying DENV infection is crucial for developing effective diagnostics and treatments. This study integrates mRNA and miRNA sequencing data to explore the regulatory networks involved in DENV infection. Samples from both DENV-infected and control conditions were analyzed. Differential expression analysis identified significantly altered genes and miRNAs. Target genes of differentially expressed miRNAs (DEMs) were identified using miRNet. Metascape is used to perform the functional enrichment analysis of target genes. Employing Pearson correlation analysis, potential regulatory relationships between miRNAs and mRNAs were determined. Receiver Operating Characteristic (ROC) analysis assessed the diagnostic potential of key miRNA-mRNA pairs. Differential expression analysis revealed a distinct set of Differentially Expressed Genes (DEGs) and miRNAs. Functional enrichment analysis indicated that upregulated genes were involved in processes such as DNA-templated transcription and cell division, while downregulated genes were associated with TNF-alpha signaling and blood vessel development. Pearson correlation analysis highlighted key negatively correlated miRNA-mRNA pairs. ROC analysis demonstrated high diagnostic potential for pairs such as TUBA1A-hsa-mir-205-5p, CXCL16-hsa-mir-205-5p, MED29-hsa-mir-148b-5p, PPARA-hsa-mir-3614-5p, and PTPRJ-hsa-mir-96-5p, with Area Under the Curve (AUC) values of 1. The study provides valuable insights into the miRNA-mRNA regulatory networks in DENV infection, identifying potential therapeutic targets and diagnostic key genes. The identified miRNA-mRNA interactions offer promising avenues for developing targeted therapies and improving DENV diagnostics, contributing to better management of dengue virus infections.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13337-025-00915-z.</p>\",\"PeriodicalId\":23708,\"journal\":{\"name\":\"VirusDisease\",\"volume\":\"36 2\",\"pages\":\"285-294\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12474751/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"VirusDisease\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13337-025-00915-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"VirusDisease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13337-025-00915-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/12 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

登革热病毒(DENV)由伊蚊传播,可引起各种疾病,从轻度登革热到严重登革出血热和登革休克综合征。了解DENV感染的分子机制对于开发有效的诊断和治疗至关重要。本研究整合mRNA和miRNA测序数据,探索DENV感染的调控网络。对denv感染和对照条件下的样本进行分析。差异表达分析发现了显著改变的基因和mirna。利用miRNet对差异表达miRNAs (DEMs)的靶基因进行鉴定。metscape用于对目标基因进行功能富集分析。采用Pearson相关分析,确定mirna和mrna之间潜在的调控关系。受试者工作特征(ROC)分析评估了关键miRNA-mRNA对的诊断潜力。差异表达分析显示了一组不同的差异表达基因(DEGs)和mirna。功能富集分析表明,上调基因参与dna模板转录和细胞分裂等过程,而下调基因与tnf - α信号传导和血管发育有关。Pearson相关分析突出了关键负相关的miRNA-mRNA对。ROC分析显示TUBA1A-hsa-mir-205-5p、CXCL16-hsa-mir-205-5p、MED29-hsa-mir-148b-5p、PPARA-hsa-mir-3614-5p和PTPRJ-hsa-mir-96-5p等对具有很高的诊断潜力,曲线下面积(AUC)值为1。该研究为DENV感染的miRNA-mRNA调控网络提供了有价值的见解,确定了潜在的治疗靶点和诊断关键基因。已确定的miRNA-mRNA相互作用为开发靶向治疗和改进登革热病毒诊断提供了有希望的途径,有助于更好地管理登革热病毒感染。补充信息:在线版本包含补充资料,提供地址为10.1007/s13337-025-00915-z。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of miRNA-mRNA Co-expression by network analysis in dengue virus infection.

Dengue virus (DENV), transmitted by Aedes mosquitoes, causes various illnesses, from mild dengue fever to severe dengue hemorrhagic fever and dengue shock syndrome. Understanding the molecular mechanisms underlying DENV infection is crucial for developing effective diagnostics and treatments. This study integrates mRNA and miRNA sequencing data to explore the regulatory networks involved in DENV infection. Samples from both DENV-infected and control conditions were analyzed. Differential expression analysis identified significantly altered genes and miRNAs. Target genes of differentially expressed miRNAs (DEMs) were identified using miRNet. Metascape is used to perform the functional enrichment analysis of target genes. Employing Pearson correlation analysis, potential regulatory relationships between miRNAs and mRNAs were determined. Receiver Operating Characteristic (ROC) analysis assessed the diagnostic potential of key miRNA-mRNA pairs. Differential expression analysis revealed a distinct set of Differentially Expressed Genes (DEGs) and miRNAs. Functional enrichment analysis indicated that upregulated genes were involved in processes such as DNA-templated transcription and cell division, while downregulated genes were associated with TNF-alpha signaling and blood vessel development. Pearson correlation analysis highlighted key negatively correlated miRNA-mRNA pairs. ROC analysis demonstrated high diagnostic potential for pairs such as TUBA1A-hsa-mir-205-5p, CXCL16-hsa-mir-205-5p, MED29-hsa-mir-148b-5p, PPARA-hsa-mir-3614-5p, and PTPRJ-hsa-mir-96-5p, with Area Under the Curve (AUC) values of 1. The study provides valuable insights into the miRNA-mRNA regulatory networks in DENV infection, identifying potential therapeutic targets and diagnostic key genes. The identified miRNA-mRNA interactions offer promising avenues for developing targeted therapies and improving DENV diagnostics, contributing to better management of dengue virus infections.

Supplementary information: The online version contains supplementary material available at 10.1007/s13337-025-00915-z.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
VirusDisease
VirusDisease Medicine-Infectious Diseases
CiteScore
7.00
自引率
0.00%
发文量
46
期刊介绍: VirusDisease, formerly known as ''Indian Journal of Virology'', publishes original research on all aspects of viruses infecting animal, human, plant, fish and other living organisms.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信