• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过微阵列分析研究糖尿病肾病相关关键基因。

Key Genes Involved in Diabetic Nephropathy Investigated by Microarray Analysis.

作者信息

Liu Xinxin, Li Xinqiang

机构信息

Public Health of College, Zhengzhou University, Zhengzhou, China.

The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.

出版信息

J Comput Biol. 2019 Dec;26(12):1438-1447. doi: 10.1089/cmb.2019.0182. Epub 2019 Jul 30.

DOI:10.1089/cmb.2019.0182
PMID:31356112
Abstract

We aimed to investigate significant genes associated with diabetic nephropathy (DN), and their potential mechanisms in the process of DN pathogenesis. We downloaded the microarray data of GSE111154 from gene expression omnibus (GEO) database. First, we analyzed differentially expressed genes (DEGs) between early diabetic nephropathy (EDN) samples and nondiabetic control samples. Functional and pathway enrichment analysis was carried out. Disease-related gene sets were analyzed. Then, we constructed the protein-protein interaction (PPI) network and predicted the relation. Finally, transcriptional regulation analyses of microRNA and transcription factors were performed. Totally 554 DEGs between EDN samples and nondiabetic control samples were obtained. Enrichment analysis of disease-related gene sets showed that transforming growth factor beta 1 () was significantly enriched in DN. TGFB1 was involved in more pathways, such as proteoglycans in cancer, malaria, and amebiasis. Furthermore, TGFB1 had the highest degree in PPI network. In addition, was correlated with miR-21-5p, miR-146a-5p, and RAD21. , miR-146a-5p, and miR-21-5p are important for DN development. Furthermore, may be involved in DN progression through the regulation of miR-21-5p, miR-146a-5p, and RAD21.

摘要

我们旨在研究与糖尿病肾病(DN)相关的重要基因及其在DN发病机制过程中的潜在机制。我们从基因表达综合数据库(GEO)下载了GSE111154的微阵列数据。首先,我们分析了早期糖尿病肾病(EDN)样本与非糖尿病对照样本之间的差异表达基因(DEG)。进行了功能和通路富集分析。分析了疾病相关基因集。然后,我们构建了蛋白质-蛋白质相互作用(PPI)网络并预测了其关系。最后,进行了微小RNA和转录因子的转录调控分析。在EDN样本与非糖尿病对照样本之间共获得554个DEG。疾病相关基因集的富集分析表明,转化生长因子β1()在DN中显著富集。TGFB1参与了更多的通路,如癌症、疟疾和阿米巴病中的蛋白聚糖。此外,TGFB1在PPI网络中具有最高度数。此外,与miR-21-5p、miR-146a-5p和RAD21相关。miR-146a-5p和miR-21-5p对DN的发展很重要。此外,可能通过调节miR-21-5p、miR-146a-5p和RAD21参与DN的进展。

相似文献

1
Key Genes Involved in Diabetic Nephropathy Investigated by Microarray Analysis.通过微阵列分析研究糖尿病肾病相关关键基因。
J Comput Biol. 2019 Dec;26(12):1438-1447. doi: 10.1089/cmb.2019.0182. Epub 2019 Jul 30.
2
Investigation of mechanisms of mesenchymal stem cells for treatment of diabetic nephropathy via construction of a miRNA-TF-mRNA network.通过构建 miRNA-TF-mRNA 网络研究间充质干细胞治疗糖尿病肾病的机制。
Ren Fail. 2018 Nov;40(1):136-145. doi: 10.1080/0886022X.2017.1421556. Epub 2018 Mar 13.
3
Identification of tubulointerstitial genes and ceRNA networks involved in diabetic nephropathy via integrated bioinformatics approaches.通过综合生物信息学方法鉴定糖尿病肾病相关的肾小管间质基因和 ceRNA 网络。
Hereditas. 2022 Sep 26;159(1):36. doi: 10.1186/s41065-022-00249-6.
4
Comprehensive analysis of diabetic nephropathy expression profile based on weighted gene co-expression network analysis algorithm.基于加权基因共表达网络分析算法的糖尿病肾病表达谱综合分析。
BMC Nephrol. 2021 Jul 2;22(1):245. doi: 10.1186/s12882-021-02447-2.
5
Identification of key microRNAs, transcription factors and genes associated with congenital obstructive nephropathy in a mouse model of megabladder.在巨膀胱小鼠模型中鉴定与先天性梗阻性肾病相关的关键微小RNA、转录因子和基因。
Gene. 2018 Apr 15;650:77-85. doi: 10.1016/j.gene.2018.01.063. Epub 2018 Feb 2.
6
Crucial genes associated with diabetic nephropathy explored by microarray analysis.通过微阵列分析探索与糖尿病肾病相关的关键基因。
BMC Nephrol. 2016 Sep 9;17(1):128. doi: 10.1186/s12882-016-0343-2.
7
Identification of miRNAs-genes regulatory network in diabetic nephropathy based on bioinformatics analysis.基于生物信息学分析的糖尿病肾病中微小RNA-基因调控网络的鉴定
Medicine (Baltimore). 2019 Jul;98(27):e16225. doi: 10.1097/MD.0000000000016225.
8
Identification of key genes and biological regulatory mechanisms in diabetic nephropathy: Meta-analysis of gene expression datasets.鉴定糖尿病肾病中的关键基因和生物学调控机制:基因表达数据集的荟萃分析。
Nefrologia (Engl Ed). 2023 Sep-Oct;43(5):575-586. doi: 10.1016/j.nefroe.2022.06.006. Epub 2023 Jan 19.
9
Revealing the underlying mechanism of diabetic nephropathy viewed by microarray analysis.通过微阵列分析揭示糖尿病肾病的潜在机制。
Exp Clin Endocrinol Diabetes. 2015 Jun;123(6):353-9. doi: 10.1055/s-0035-1548849. Epub 2015 Apr 28.
10
Network pharmacology-based identification of miRNA expression of Astragalus membranaceus in the treatment of diabetic nephropathy.基于网络药理学的黄芪治疗糖尿病肾病的 miRNA 表达研究。
Medicine (Baltimore). 2022 Feb 4;101(5):e28747. doi: 10.1097/MD.0000000000028747.

引用本文的文献

1
Cellular crosstalk of mesangial cells and tubular epithelial cells in diabetic kidney disease.糖尿病肾病中系膜细胞和肾小管上皮细胞的细胞串扰。
Cell Commun Signal. 2023 Oct 16;21(1):288. doi: 10.1186/s12964-023-01323-w.
2
MicroRNA-21: A Critical Pathogenic Factor of Diabetic Nephropathy.miR-21:糖尿病肾病的关键致病因子。
Front Endocrinol (Lausanne). 2022 Jul 5;13:895010. doi: 10.3389/fendo.2022.895010. eCollection 2022.
3
Single-nuclear transcriptomics reveals diversity of proximal tubule cell states in a dynamic response to acute kidney injury.
单核转录组学揭示了急性肾损伤动态反应中近端肾小管细胞状态的多样性。
Proc Natl Acad Sci U S A. 2021 Jul 6;118(27). doi: 10.1073/pnas.2026684118.
4
Revealing the Interactions Between Diabetes, Diabetes-Related Diseases, and Cancers Based on the Network Connectivity of Their Related Genes.基于相关基因的网络连通性揭示糖尿病、糖尿病相关疾病与癌症之间的相互作用
Front Genet. 2020 Dec 14;11:617136. doi: 10.3389/fgene.2020.617136. eCollection 2020.
5
Urinary MicroRNA-21-5p as Potential Biomarker of Interstitial Fibrosis and Tubular Atrophy (IFTA) in Kidney Transplant Recipients.尿微小RNA-21-5p作为肾移植受者间质纤维化和肾小管萎缩(IFTA)的潜在生物标志物
Diagnostics (Basel). 2020 Feb 19;10(2):113. doi: 10.3390/diagnostics10020113.