IgA 肾病中的铁蛋白沉积相关基因:筛选机制的潜在靶点

Wenhui Zhu, Yao Chen, Jing Xiao, Chuchu Cheng, Guijie Ma, Yang Wang, Yonggang Zhang, Ming Chen
{"title":"IgA 肾病中的铁蛋白沉积相关基因:筛选机制的潜在靶点","authors":"Wenhui Zhu,&nbsp;Yao Chen,&nbsp;Jing Xiao,&nbsp;Chuchu Cheng,&nbsp;Guijie Ma,&nbsp;Yang Wang,&nbsp;Yonggang Zhang,&nbsp;Ming Chen","doi":"10.1155/2024/8851124","DOIUrl":null,"url":null,"abstract":"<p><b>Aims:</b> Exploring key genes and potential molecular pathways of ferroptosis in immunoglobulin A nephropathy (IgAN).</p><p><b>Methods:</b> The IgAN datasets and ferroptosis-related genes (FRGs) were obtained in the Gene Expression Omnibus (GEO) and FerrDb database. Differentially expressed genes (DEGs) were identified using R software and intersected with FRGs to obtain differentially expressed FRGs (DE-FRGs). After that, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (PEA) and Gene Ontology (GO) functional annotation were performed on DE-FRGs. In the Search Tool for the Retrieval of Interacting Genes (STRING) website, we construct a protein–protein interaction (PPI) network. The PPI network was further investigated with screening hub genes with Cytoscape software. The core genes were then subjected to gene set enrichment analysis (GSEA). Finally, the samples were analyzed for immune infiltration in R, and the correlation between hub genes and immune cells was analyzed.</p><p><b>Results:</b> A total of 347 DEGs were identified. CD44, CDO1, CYBB, IL1B, RRM2, AKR1C1, activated transcription factor-3 (ATF3), CDKN1A, GDF15, JUN, MGST1, MIOX, MT1G, NR4A1, PDK4, TNFAIP3, and ZFP36 were determined as DE-FRGs. JUN, IL1B, and ATF3 were then screened as hub genes. GSEA and immune infiltration analysis revealed that the hub genes were closely associated with immune inflammatory responses such as NOD-like receptor signaling, IL-17 signaling, and TNF signaling.</p><p><b>Conclusions:</b> Our results show that JUN and ATF3 are possibly critical genes in the process of IgAN ferroptosis and may be related with immune cell infiltration.</p>","PeriodicalId":55239,"journal":{"name":"Comparative and Functional Genomics","volume":"2024 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/8851124","citationCount":"0","resultStr":"{\"title\":\"Ferroptosis-Related Genes in IgA Nephropathy: Screening for Potential Targets of the Mechanism\",\"authors\":\"Wenhui Zhu,&nbsp;Yao Chen,&nbsp;Jing Xiao,&nbsp;Chuchu Cheng,&nbsp;Guijie Ma,&nbsp;Yang Wang,&nbsp;Yonggang Zhang,&nbsp;Ming Chen\",\"doi\":\"10.1155/2024/8851124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><b>Aims:</b> Exploring key genes and potential molecular pathways of ferroptosis in immunoglobulin A nephropathy (IgAN).</p><p><b>Methods:</b> The IgAN datasets and ferroptosis-related genes (FRGs) were obtained in the Gene Expression Omnibus (GEO) and FerrDb database. Differentially expressed genes (DEGs) were identified using R software and intersected with FRGs to obtain differentially expressed FRGs (DE-FRGs). After that, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (PEA) and Gene Ontology (GO) functional annotation were performed on DE-FRGs. In the Search Tool for the Retrieval of Interacting Genes (STRING) website, we construct a protein–protein interaction (PPI) network. The PPI network was further investigated with screening hub genes with Cytoscape software. The core genes were then subjected to gene set enrichment analysis (GSEA). Finally, the samples were analyzed for immune infiltration in R, and the correlation between hub genes and immune cells was analyzed.</p><p><b>Results:</b> A total of 347 DEGs were identified. CD44, CDO1, CYBB, IL1B, RRM2, AKR1C1, activated transcription factor-3 (ATF3), CDKN1A, GDF15, JUN, MGST1, MIOX, MT1G, NR4A1, PDK4, TNFAIP3, and ZFP36 were determined as DE-FRGs. JUN, IL1B, and ATF3 were then screened as hub genes. GSEA and immune infiltration analysis revealed that the hub genes were closely associated with immune inflammatory responses such as NOD-like receptor signaling, IL-17 signaling, and TNF signaling.</p><p><b>Conclusions:</b> Our results show that JUN and ATF3 are possibly critical genes in the process of IgAN ferroptosis and may be related with immune cell infiltration.</p>\",\"PeriodicalId\":55239,\"journal\":{\"name\":\"Comparative and Functional Genomics\",\"volume\":\"2024 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/8851124\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Comparative and Functional Genomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/2024/8851124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative and Functional Genomics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/8851124","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

目的:探索免疫球蛋白A肾病(IgAN)中铁蛋白沉积的关键基因和潜在分子通路:从基因表达总库(Gene Expression Omnibus,GEO)和FerrDb数据库中获取IgAN数据集和铁蛋白沉积相关基因(FRGs)。使用 R 软件识别差异表达基因(DEGs),并与 FRGs 相交,得到差异表达 FRGs(DE-FRGs)。然后,对 DE-FRGs 进行京都基因组百科全书(KEGG)通路富集分析(PEA)和基因本体(GO)功能注释。在检索相互作用基因的搜索工具(STRING)网站上,我们构建了一个蛋白质-蛋白质相互作用(PPI)网络。通过 Cytoscape 软件筛选中心基因,进一步研究了 PPI 网络。然后对核心基因进行基因组富集分析(GSEA)。最后,用 R 对样本进行免疫浸润分析,并分析中心基因与免疫细胞之间的相关性:结果:共鉴定出 347 个 DEGs。CD44、CDO1、CYBB、IL1B、RRM2、AKR1C1、活化转录因子-3(ATF3)、CDKN1A、GDF15、JUN、MGST1、MIOX、MT1G、NR4A1、PDK4、TNFAIP3和ZFP36被确定为DE-FRGs。然后筛选出 JUN、IL1B 和 ATF3 作为枢纽基因。GSEA和免疫浸润分析表明,枢纽基因与免疫炎症反应密切相关,如NOD样受体信号转导、IL-17信号转导和TNF信号转导:我们的研究结果表明,JUN和ATF3可能是IgAN铁变态反应过程中的关键基因,并可能与免疫细胞浸润有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Ferroptosis-Related Genes in IgA Nephropathy: Screening for Potential Targets of the Mechanism

Aims: Exploring key genes and potential molecular pathways of ferroptosis in immunoglobulin A nephropathy (IgAN).

Methods: The IgAN datasets and ferroptosis-related genes (FRGs) were obtained in the Gene Expression Omnibus (GEO) and FerrDb database. Differentially expressed genes (DEGs) were identified using R software and intersected with FRGs to obtain differentially expressed FRGs (DE-FRGs). After that, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (PEA) and Gene Ontology (GO) functional annotation were performed on DE-FRGs. In the Search Tool for the Retrieval of Interacting Genes (STRING) website, we construct a protein–protein interaction (PPI) network. The PPI network was further investigated with screening hub genes with Cytoscape software. The core genes were then subjected to gene set enrichment analysis (GSEA). Finally, the samples were analyzed for immune infiltration in R, and the correlation between hub genes and immune cells was analyzed.

Results: A total of 347 DEGs were identified. CD44, CDO1, CYBB, IL1B, RRM2, AKR1C1, activated transcription factor-3 (ATF3), CDKN1A, GDF15, JUN, MGST1, MIOX, MT1G, NR4A1, PDK4, TNFAIP3, and ZFP36 were determined as DE-FRGs. JUN, IL1B, and ATF3 were then screened as hub genes. GSEA and immune infiltration analysis revealed that the hub genes were closely associated with immune inflammatory responses such as NOD-like receptor signaling, IL-17 signaling, and TNF signaling.

Conclusions: Our results show that JUN and ATF3 are possibly critical genes in the process of IgAN ferroptosis and may be related with immune cell infiltration.

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
Comparative and Functional Genomics
Comparative and Functional Genomics 生物-生化与分子生物学
自引率
0.00%
发文量
0
审稿时长
2 months
期刊最新文献
A Prognostic Riskscore Model Related to Helicobacter pylori Infection in Stomach Adenocarcinoma Multiomics Analysis of Exportin Family Reveals XPO1 as a Novel Target for Clear Cell Renal Cell Carcinoma Identification of the hsa_circ_0001314-Related ceRNA Network in Breast Cancer With Bioinformatics Analysis The High-Quality Genome Sequencing and Analysis of Red Raspberry (Rubus idaeus L.) Pan-Cancer Analysis Reveals PRIM2 as a Potential Biomarker for Diagnosis, Prognosis, and Immunomodulatory
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1