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角膜圆锥角膜的发生和进展中轴的作用。

Role of the axis in the development and progression of keratoconus.

机构信息

Department of Ophthalmology, the Second Hospital of Jilin University, Changchun 130000, Jilin Province, China.

出版信息

Mol Vis. 2020 Feb 1;26:1-13. eCollection 2020.

Abstract

BACKGROUND

As a disorder occurs in the eyes, keratoconus (KC) is induced by the thinning of the corneal stroma. This study was designed to reveal the key long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs involved in the mechanisms of KC.

METHODS

Transcriptome RNA-seq data set GSE112155 was acquired from the Gene Expression Omnibus database, which contained 10 KC samples and 10 myopic control samples. Using the edgeR package, the differentially expressed (DE)-mRNAs between KC and control samples were screened. The DE-lncRNAs and DE-miRNAs in this data set were identified using the HUGO Gene Nomenclature Committee (HGNC). Using the pheatmap package, bidirectional hierarchical clustering of the DE-RNAs was conducted. Then, an enrichment analysis of the DE-mRNAs was performed using the DAVID tool. Moreover, a competitive endogenous RNA (ceRNA) regulatory network was built using the Cytoscape software. After KC-associated pathways were searched within the Comparative Toxicogenomics Database, a KC-associated ceRNA regulatory network was constructed.

RESULTS

There were 282 DE-lncRNAs (192 upregulated and 90 downregulated), 40 DE-miRNAs (29 upregulated and 11 downregulated), and 910 DE-mRNAs (554 upregulated and 356 downregulated) between the KC and control samples. A total of 34 functional terms and 9 pathways were enriched for the DE-mRNAs. In addition, 6 mRNAs (including , , , and ), 5 miRNAs (including ), 9 lncRNAs (including ), and the axis were involved in the KC-associated ceRNA regulatory network.

CONCLUSIONS

, , , , , and might be correlated with the development of KC. Further, the axis might be implicated in the pathogenesis of KC.

摘要

背景

圆锥角膜(KC)是由于角膜基质变薄而引起的眼部疾病。本研究旨在揭示与 KC 发病机制相关的关键长非编码 RNA(lncRNA)、微小 RNA(miRNA)和信使 RNA(mRNA)。

方法

从基因表达综合数据库(GEO)中获取了包含 10 例 KC 样本和 10 例近视对照样本的转录组 RNA-seq 数据集 GSE112155。使用 edgeR 包筛选 KC 与对照样本之间的差异表达(DE)-mRNA。使用人类基因命名委员会(HGNC)识别该数据集的 DE-lncRNA 和 DE-miRNA。使用 pheatmap 包对 DE-RNAs 进行双向层次聚类。然后,使用 DAVID 工具对 DE-mRNAs 进行富集分析。此外,使用 Cytoscape 软件构建了竞争性内源性 RNA(ceRNA)调控网络。在比较毒理学基因组数据库中搜索与 KC 相关的通路后,构建了与 KC 相关的 ceRNA 调控网络。

结果

KC 与对照样本之间有 282 个 DE-lncRNA(192 个上调,90 个下调)、40 个 DE-miRNA(29 个上调,11 个下调)和 910 个 DE-mRNAs(554 个上调,356 个下调)。DE-mRNAs 共富集到 34 个功能术语和 9 条通路。此外,在与 KC 相关的 ceRNA 调控网络中涉及 6 个 mRNA(包括、、、、和)、5 个 miRNA(包括)、9 个 lncRNA(包括)和 轴。

结论

、、、、、和可能与 KC 的发生发展有关。此外,轴可能与 KC 的发病机制有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efef/7043645/0c5dcad4d8fa/mv-v26-1-f1.jpg

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