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系统性硬皮病-间质性肺病患者 miRNA 芯片数据集中小 miRNA 及其靶基因的检测和鉴定。

Detection and Characterization of microRNAs and Their Target Genes in microRNA Microarray Datasets from Patients with Systemic Sclerosis-Interstitial Lung Disease.

机构信息

Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.

Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, China.

出版信息

DNA Cell Biol. 2019 Sep;38(9):933-944. doi: 10.1089/dna.2019.4780. Epub 2019 Jul 30.

Abstract

Interstitial lung disease (ILD) is the main reason of death in patients with systemic sclerosis (SSc). The potential microRNA (miRNA)-messenger RNA (mRNA) interaction networks of SSc-ILD from a systematic biological perspective are unclear. To characterize differentially expressed miRNAs (DE-miRNAs) and differentially expressed genes (DEGs) likely related to SSc-ILD, we downloaded the miRNA microarray dataset (GSE81923) and mRNA datasets (GSE76808 and GSE81292) from the Gene Expression Omnibus database. Comprehensive bioinformatic analyses were conducted to predict target genes for DE-miRNAs and generate an miRNA-hub gene network with SSc-ILD. In total, 26 DE-miRNAs were detected in SSc-ILD, among which 2 were upregulated and 24 were downregulated. Additionally, 178 common DEGs (55 upregulated and 123 downregulated) were identified. miRNAs were primarily enriched in pathways involving inflammation and regulation of fibroblasts. The hub genes identified were and . We discovered the miRNA-mediated regulatory network in SSc-ILD using an integrated bioinformatic analysis. The findings provide novel insight and expand our comprehension of the molecular mechanisms participating in the pathogenesis of SSc-ILD, along with identification of new potential diagnostic biomarkers.

摘要

间质性肺病(ILD)是系统性硬皮病(SSc)患者死亡的主要原因。从系统生物学的角度来看,SSc-ILD 的潜在 microRNA(miRNA)-信使 RNA(mRNA)相互作用网络尚不清楚。为了描述与 SSc-ILD 相关的差异表达 miRNA(DE-miRNA)和差异表达基因(DEG),我们从基因表达综合数据库(GEO)下载了 miRNA 微阵列数据集(GSE81923)和 mRNA 数据集(GSE76808 和 GSE81292)。进行了综合生物信息学分析,以预测 DE-miRNA 的靶基因,并生成与 SSc-ILD 相关的 miRNA-枢纽基因网络。在 SSc-ILD 中检测到 26 个 DE-miRNA,其中 2 个上调,24 个下调。此外,还鉴定出 178 个共同的 DEG(55 个上调和 123 个下调)。miRNA 主要富集在涉及炎症和成纤维细胞调节的途径中。鉴定出的枢纽基因为和。我们使用综合生物信息学分析发现了 SSc-ILD 中的 miRNA 介导的调控网络。这些发现为 SSc-ILD 的发病机制提供了新的见解,并扩展了我们对参与 SSc-ILD 发病机制的分子机制的理解,同时还确定了新的潜在诊断生物标志物。

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