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缺血性脑卒中关键长非编码 RNA 的鉴定与验证。

The Identification and Verification of Key Long Noncoding RNAs in Ischemic Stroke.

机构信息

Key Laboratory of Acupuncture and Medicine Research of the Ministry of Education, Nanjing University of Chinese Medicine, Nanjing 210028, China.

Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China.

出版信息

Biomed Res Int. 2020 Dec 29;2020:2094320. doi: 10.1155/2020/2094320. eCollection 2020.

Abstract

Stroke is a neurological disease with high rates of mortality and disability. The pathogenesis of stroke is acute focal injury of the central nervous system, leading to impaired neural function. Ischemic stroke accounts for the majority of cases. At present, the exact molecular mechanism of ischemic stroke remains unclear. Studies have shown that long noncoding RNAs (lncRNAs) have an important regulatory role in biological processes, participating in the regulation of transcription and affecting the processing and splicing of mRNAs. Abnormal lncRNA expression is associated with various diseases, including diseases of the nervous system. To identify and verify the key lncRNAs in ischemic stroke, we downloaded gene expression data from the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO) and obtain differentially expressed lncRNAs, miRNAs, and mRNAs by bioinformatics analysis. Cytoscape was used to reconstruct a lncRNA-miRNA-mRNA network on the basis of the competitive endogenous RNA theory. We performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the mRNAs regulated by lncRNAs in the lncRNA-miRNA-mRNA network. The resulting lncRNA-miRNA-mRNA network was composed of 91 lncRNA nodes, 70 mRNA nodes, 21 miRNA nodes, and 288 edges. GO analysis and KEGG pathway analysis have shown that 191 GO terms and 23 KEGG pathways were enriched. Finally, we found that four key lncRNAs were highly correlated with ischemic stroke and could be used as potential new targets for treatment.

摘要

中风是一种具有高死亡率和残疾率的神经系统疾病。中风的发病机制是中枢神经系统的急性局灶性损伤,导致神经功能受损。缺血性中风占大多数病例。目前,缺血性中风的确切分子机制尚不清楚。研究表明,长链非编码 RNA(lncRNA)在生物过程中具有重要的调节作用,参与转录的调节,并影响 mRNA 的加工和剪接。异常的 lncRNA 表达与各种疾病有关,包括神经系统疾病。为了鉴定和验证缺血性中风中的关键 lncRNA,我们从国家生物技术信息中心基因表达综合数据库(NCBI GEO)下载基因表达数据,并通过生物信息学分析获得差异表达的 lncRNA、miRNA 和 mRNA。基于竞争内源性 RNA 理论,我们使用 Cytoscape 在 lncRNA-miRNA-mRNA 网络上重建 lncRNA-miRNA-mRNA 网络。我们对 lncRNA-miRNA-mRNA 网络中受 lncRNA 调节的 mRNAs 进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路分析。所得 lncRNA-miRNA-mRNA 网络由 91 个 lncRNA 节点、70 个 mRNA 节点、21 个 miRNA 节点和 288 个边缘组成。GO 分析和 KEGG 通路分析表明,有 191 个 GO 术语和 23 个 KEGG 通路被富集。最后,我们发现四个关键 lncRNA 与缺血性中风高度相关,可作为潜在的新治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94d8/7789472/c953fc205797/BMRI2020-2094320.001.jpg

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