Deep sequencing of circulating miRNAs and target mRNAs level in deep venous thrombosis patients

IF 1.9 4区 生物学 Q4 CELL BIOLOGY IET Systems Biology Pub Date : 2023-07-19 DOI:10.1049/syb2.12071
Qingxian Wang, Yunhe Chang, Xuqing Yang, Ziwang Han
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Abstract

Deep venous thrombosis is one of the most common peripheral vascular diseases that lead to major morbidity and mortality. The authors aimed to identify potential differentially expressed miRNAs and target mRNAs, which were helpful in understanding the potential molecule mechanism of deep venous thrombosis. The plasma samples of patients with deep venous thrombosis were obtained for the RNA sequencing. Differentially expressed miRNAs were identified, followed by miRNA-mRNA target analysis. Enrichment analysis was used to analyze the potential biological function of target mRNAs. GSE19151 and GSE173461 datasets were used for expression validation of mRNAs and miRNAs. 131 target mRNAs of 21 differentially expressed miRNAs were identified. Among which, 8 differentially expressed miRNAs including hsa-miR-150-5p, hsa-miR-326, hsa-miR-144-3p, hsa-miR-199a-5p, hsa-miR-199b-5p, hsa-miR-125a-5p, hsa-let-7e-5p and hsa-miR-381-3p and their target mRNAs (PRKCA, SP1, TP53, SLC27A4, PDE1B, EPHB3, IRS1, HIF1A, MTUS1 and ZNF652) were found associated with deep venous thrombosis for the first time. Interestingly, PDE1B and IRS1 had a potential diagnostic value for patients. Additionally, 3 important signaling pathways including p53, PI3K-Akt and MAPK were identified in the enrichment analysis of target mRNAs (TP53, PRKCA and IRS1). Identified circulating miRNAs and target mRNAs and related signaling pathways may be involved in the process of deep venous thrombosis.

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深静脉血栓患者循环mirna和靶mrna水平的深度测序
深静脉血栓形成是最常见的外周血管疾病之一,导致主要的发病率和死亡率。作者旨在鉴定潜在的差异表达mirna和靶mrna,这有助于了解深静脉血栓形成的潜在分子机制。取深静脉血栓患者血浆样本进行RNA测序。鉴定差异表达的mirna,然后进行miRNA-mRNA靶分析。富集分析用于分析目标mrna的潜在生物学功能。使用GSE19151和GSE173461数据集进行mrna和mirna的表达验证。鉴定出21种差异表达mirna中的131种靶mrna。其中,首次发现hsa-miR-150-5p、hsa-miR-326、hsa-miR-144-3p、hsa-miR-199a-5p、hsa-miR-199b-5p、hsa-miR-125a-5p、hsa-let-7e-5p、hsa-miR-381-3p等8种差异表达mirna及其靶mrna (PRKCA、SP1、TP53、SLC27A4、PDE1B、EPHB3、IRS1、HIF1A、MTUS1、ZNF652)与深静脉血栓形成相关。有趣的是,PDE1B和IRS1对患者具有潜在的诊断价值。此外,在靶mrna (TP53、PRKCA和IRS1)富集分析中,鉴定出p53、PI3K-Akt和MAPK 3条重要信号通路。已确定的循环mirna和靶mrna及其相关信号通路可能参与深静脉血栓形成的过程。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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