Microarray and bioinformatics analysis of circular RNAs expression profile in traumatic lung injury
Microarray and bioinformatics analysis of circular RNAs expression profile in traumatic lung injury
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创伤性肺损伤中环状RNA表达谱的微阵列和生物信息学分析
DOI：
10.3892/etm.2020.8686
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发表时间：
2020-07-01
影响因子：
2.7
通讯作者：
Xia, Zhao-Fan
中科院分区：
文献类型：
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作者：
Jiang, Yong;Zhu, Feng;Xia, Zhao-Fan
急性肺损伤（ALI）和呼吸窘迫综合征是常见的，潜在的致命伤害，主要发生在胸部创伤。环状RNA（CircRNA）是一类广泛表达于不同器官的稳定、保守的非编码RNA。据我们所知，没有先前的研究表明circRNA是否参与创伤性肺损伤（TLI）。本研究的目的是鉴定TLI患者血浆样本中高表达的circRNA，并探讨其在TLI发病机制中的潜在功能。使用高通量circRNA微阵列研究来自5名TLI患者和配对对照样品的血浆样品中circRNA的表达谱。随后，使用逆转录-定量PCR（RT-qPCR）研究了总共五种异常表达的circRNA。进行生物信息学分析以预测竞争性内源RNA（ceRNA）网络。此外，基因本体论（GO）和京都基因和基因组百科全书（KEGG）的分析被用来确定主要的生物过程和途径。最后，测试额外的样品以鉴定所选circRNA的表达谱。在微阵列分析中高度表达的310个circRNA中，60个在TLI患者中上调，250个下调。RT-qPCR结果表明，两个下调的circRNA（circ_102927和circ_100562）和一个上调的circRNA（circ_101523）与微阵列结果匹配。生物信息学分析构建了基于三个验证的circRNA的靶向网络。GO和KEGG分析确定了前十个丰富的注释。在扩大尺寸验证中，TLI患者血浆中的智人环状RNA 102927（hsa_circRNA_102927）表达是对照组的0.34倍。本研究的结果鉴定了TLI患者血浆中差异表达的circRNA，并提供了参与ceRNA网络的高表达circRNA可能在TLI的病理生理学中起作用的证据。
Acute lung injury (ALI) and respiratory distress syndrome are common, potentially lethal injuries that predominantly occur following chest trauma. Circular RNAs (circRNAs) are stable conserved non-coding RNAs that are widely expressed in different organs. To the best of our knowledge, no previous studies have shown whether circRNAs are involved in traumatic lung injury (TLI). The aim of the present study was to identify highly expressed circRNAs in plasma samples from patients with TLI and explore their potential functions in the pathogenesis of TLI. A high-throughput circRNA microarray was used to investigate the expression profile of circRNAs in plasma samples from five patients with TLI and paired control samples. Subsequently, a total of five abnormally expressed circRNAs were investigated using reverse transcription-quantitative PCR (RT-qPCR). A bioinformatics analysis was performed to predict a competitive endogenous RNA (ceRNA) network. In addition, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to identify the main biological processes and pathways. Finally, additional samples were tested to identify the expression profiles of the selected circRNAs. Among the 310 circRNAs that were highly expressed in the microarray analysis, 60 were upregulated and 250 were downregulated in patients with TLI. RT-qPCR results indicated that two downregulated circRNAs (circ_102927 and circ_100562) and one upregulated circRNA (circ_101523) matched the microarray results. The bioinformatics analysis constructed a targeting network based on the three validated circRNAs. GO and KEGG analyses identified the top ten enriched annotations. The expression of homo sapiens circular RNA 102927 (hsa_circRNA_102927) in the plasma of patients with TLI was 0.34-fold compared with the control group in expanded size validation. The results of the present study identified the differentially expressed circRNAs in the plasma of patients with TLI and provided evidence that highly expressed circRNAs involved in the ceRNA network may serve a role in the pathophysiology of TLI.