• 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

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。

Identification of key microRNAs, transcription factors and genes associated with congenital obstructive nephropathy in a mouse model of megabladder.

作者信息

Xin Guangda, Chen Rui, Zhang Xiaofei

机构信息

Department of Nephrology, China-Japan Union Hospital of Jilin University, Changchun 130033, China.

Department of Pediatrics, China-Japan Union Hospital of Jilin University, Changchun 130033, China.

出版信息

Gene. 2018 Apr 15;650:77-85. doi: 10.1016/j.gene.2018.01.063. Epub 2018 Feb 2.

DOI:10.1016/j.gene.2018.01.063
PMID:29410288
Abstract

OBJECTIVE

The present study aimed to investigate the molecular mechanism underlying congenital obstructive nephropathy (CON).

METHODS

The microarray dataset GSE70879 was downloaded from the Gene Expression Omnibus, including 3 kidney samples of megabladder mice and 4 control kidneys. Using this dataset, differentially expressed miRNAs (DEMs) were identified between the kidney samples from megabladder mice and controls, followed by identification of the target genes for these DEMs and construction of a DEM and target gene interaction network. Additionally, the target genes were subjected to Gene Ontology and pathway enrichment analyses, and were used for construction of a protein-protein interaction (PPI) network. Finally, regulatory networks were constructed to analyze transcription factors for the key miRNAs.

RESULTS

From 17 DEMs identified between kidney samples of megabladder mice and controls, 3 key miRNAs were screened, including mmu-miR-150-5p, mmu-miR-374b-5p and mmu-miR-126a-5p. The regulatory networks identified vascular endothelial growth factor A (Vegfa) as the common target gene of mmu-miR-150-5p and five transcription factors, including nuclear receptor subfamily 4, group A, member 2 (Nr4a2), Jun dimerisation protein 2 (Jdp2), Kruppel-like factor 6 (Klf6), Neurexophilin-3 (Nxph3) and RNA binding motif protein 17 (Rbm17). The gene encoding phosphatase and tensin homolog (Pten) was found to be co-regulated by mmu-miR-374b-5p and high mobility group protein A1 (Hmga1), whereas the kirsten rat sarcoma viral oncogene (Kras) was identified as a common target gene of mmu-miR-126a-5p and paired box 6 (Pax6).

CONCLUSIONS

In summary, the above-listed key miRNAs, transcription factors and key genes may be involved in the development of CON.

摘要

目的

本研究旨在探究先天性梗阻性肾病(CON)的分子机制。

方法

从基因表达综合数据库下载微阵列数据集GSE70879,其中包括3个巨膀胱小鼠的肾脏样本和4个对照肾脏样本。利用该数据集,鉴定巨膀胱小鼠肾脏样本与对照样本之间差异表达的miRNA(DEM),随后鉴定这些DEM的靶基因并构建DEM与靶基因的相互作用网络。此外,对靶基因进行基因本体论和通路富集分析,并用于构建蛋白质-蛋白质相互作用(PPI)网络。最后,构建调控网络以分析关键miRNA的转录因子。

结果

在巨膀胱小鼠肾脏样本与对照样本之间鉴定出的17个DEM中,筛选出3个关键miRNA,包括mmu-miR-150-5p、mmu-miR-374b-5p和mmu-miR-126a-5p。调控网络确定血管内皮生长因子A(Vegfa)是mmu-miR-150-5p和5个转录因子的共同靶基因,这5个转录因子包括核受体亚家族4 A组成员2(Nr4a2)、Jun二聚化蛋白2(Jdp2)、 Kruppel样因子6(Klf6)、神经亲环蛋白3(Nxph3)和RNA结合基序蛋白17(Rbm17)。发现编码磷酸酶和张力蛋白同源物(Pten)的基因受mmu-miR-374b-5p和高迁移率族蛋白A1(Hmga1)共同调控,而 Kirsten大鼠肉瘤病毒癌基因(Kras)被确定为mmu-miR-126a-5p和配对盒6(Pax6)的共同靶基因。

结论

综上所述,上述关键miRNA、转录因子和关键基因可能参与了CON的发生发展。

相似文献

1
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.
2
Both Peripheral Blood and Urinary miR-195-5p, miR-192-3p, miR-328-5p and Their Target Genes PPM1A, RAB1A and BRSK1 May Be Potential Biomarkers for Membranous Nephropathy.外周血和尿液中的 miR-195-5p、miR-192-3p、miR-328-5p 及其靶基因 PPM1A、RAB1A 和 BRSK1 可能是膜性肾病的潜在生物标志物。
Med Sci Monit. 2019 Mar 13;25:1903-1916. doi: 10.12659/MSM.913057.
3
Co-expression network analysis identified hub genes critical to triglyceride and free fatty acid metabolism as key regulators of age-related vascular dysfunction in mice.共表达网络分析确定了对甘油三酯和游离脂肪酸代谢至关重要的枢纽基因,这些基因是小鼠年龄相关血管功能障碍的关键调节因子。
Aging (Albany NY). 2019 Sep 12;11(18):7620-7638. doi: 10.18632/aging.102275.
4
Identification of key microRNAs associated with diffuse large B-cell lymphoma by analyzing serum microRNA expressions.通过分析血清微小RNA表达鉴定与弥漫性大B细胞淋巴瘤相关的关键微小RNA
Gene. 2018 Feb 5;642:205-211. doi: 10.1016/j.gene.2017.11.022. Epub 2017 Nov 8.
5
Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.基于基因芯片数据的综合分析鉴定食管鳞癌差异表达基因和 miRNA。
Biomed Res Int. 2020 Jul 1;2020:1980921. doi: 10.1155/2020/1980921. eCollection 2020.
6
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.
7
Potential role of upregulated microRNA‑146b and ‑21 in renal fibrosis.上调的 microRNA-146b 和 -21 在肾纤维化中的潜在作用。
Mol Med Rep. 2017 Sep;16(3):2863-2867. doi: 10.3892/mmr.2017.6929. Epub 2017 Jul 5.
8
The regulatory axis is important for sepsis-induced acute kidney injury.调控轴对于脓毒症引起的急性肾损伤很重要。
Ren Fail. 2019 Nov;41(1):955-966. doi: 10.1080/0886022X.2019.1669460.
9
Microrna Expression Profiling of Macrophage Line Raw264.7 Infected by Candida Albicans.白色念珠菌感染的巨噬细胞系Raw264.7的微小RNA表达谱分析
Shock. 2017 Apr;47(4):520-530. doi: 10.1097/SHK.0000000000000766.
10
Identification of Pivotal MicroRNAs and Target Genes Associated with Persistent Atrial Fibrillation Based on Bioinformatics Analysis.基于生物信息学分析鉴定与持续性心房颤动相关的关键 microRNAs 和靶基因。
Comput Math Methods Med. 2021 Mar 6;2021:6680211. doi: 10.1155/2021/6680211. eCollection 2021.

引用本文的文献

1
TRH Regulates the Synthesis and Secretion of Prolactin in Rats with Adenohypophysis through the Differential Expression of miR-126a-5p.促甲状腺激素释放激素通过差异表达 miR-126a-5p 调节大鼠腺垂体泌乳素的合成和分泌。
Int J Mol Sci. 2022 Dec 14;23(24):15914. doi: 10.3390/ijms232415914.
2
Interplay of RNA-Binding Proteins and microRNAs in Neurodegenerative Diseases.RNA结合蛋白与微小RNA在神经退行性疾病中的相互作用
Int J Mol Sci. 2021 May 18;22(10):5292. doi: 10.3390/ijms22105292.
3
Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases.
基于 GEO 数据库的 IgA 肾病基因的筛选和生物信息学分析。
Biomed Res Int. 2019 Jul 16;2019:8794013. doi: 10.1155/2019/8794013. eCollection 2019.