MicroRNA expression profiling of Chinese follicular lymphoma by microarray: A preliminary study

MicroRNA expression profiling of Chinese follicular lymphoma by microarray: A preliminary study
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DOI:
10.1016/j.intimp.2016.07.006
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发表时间:
2016-10-01
影响因子:
5.6
通讯作者:
Xu, Yong
Xu, Yong
中科院分区:
医学2区
文献类型:
--
作者:
Pan, Yi;Guo, Yan;Xu, Yong

文献摘要

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背景:microRNAs(miRNAs)被广泛认为是参与肿瘤发生的多种生物学过程的重要调控因子。方法:应用miRCURY LNA(TM)microRNA Array(v.18.0)芯片检测3例中国人滤泡性淋巴瘤(FL)组织中的miRNA表达谱,并与3例反应性淋巴结(RLN)进行比较。使用定量实时聚合酶链反应(qRT-PCR)来确认在不同系列中选择的miRNA。使用三个数据库(米兰达、miRBase和TargetScan)来预测推定的靶基因。结果:基因芯片分析显示,在1643个miRNAs中,有103个miRNAs表达上调,68个miRNAs表达下调,P值为2倍。qRT-PCR结果显示,miR-17- 5 p、miR-20 a-5 p和miR-19 a-3 p表达上调,miR-3615表达下调(P <0. 05)。生物信息学分析(基因本体分析和途径分析)用于进一步评估。通路分析表明,25条通路对应于差异表达的miRNA(P值截止值为0.05)。此外,在包括5例FL 3a和5例RLN病例的独立系列中,通过qRT-PCR验证了miR-17- 5 p、miR-20 a-5 p和miR-19 a-3 p。数据分析显示,miR-19 a-3 p和miR-17- 5 p在独立序列中的表达变化趋势与微阵列数据基本一致。结论:本研究首次揭示了中国人FL及3种上调的miRNA的表达谱。此外,发现miR-19 a-3 p和miR-17- 5 p的表达在FL 3a中显著上调。其在FL发病机制中的作用有待进一步研究。(C)© 2016 Elsevier B. V.版权所有。
Background: MicroRNAs (miRNAs) have been widely regarded as crucial regulators in various biological processes involved in carcinogenesis. However, the comprehensive miRNA profiles of Chinese follicular lymphoma (FL) remains completely unknown.Methods: The Exiqon miRCURY LNA (TM) microRNA Array (v.18.0) was used to detect the miRNA expression profiles of three Chinese FL samples, and compared to three reactive lymphatic nodes (RLN). Quantitative real-time polymerase chain reaction (qRT-PCR) was used to confirm the selected miRNAs in different series. Three databases (miRAnda, miRBase and TargetScan) were used to predict the putative target genes. Bioinformatic analysis (gene ontology analysis and pathway analysis) was performed for further evaluation.Results: The microarray assay demonstrated that 1643 miRNAs were expressed; in which 103 miRNAs were up regulated and 68 miRNAs were downregulated, according to P-value ( 2-fold). Furthermore, qRT-PCR was used to confirm that miR-17-5p, miR-20a-5p and miR-19a-3p were upregulated, and miR-3615 was downregulated (P < 0.05). Bioinformatic analysis (gene ontology analysis and pathway analysis) was used for further evaluation. Pathway analysis indicated that 25 pathways corresponded to differentially expressed miRNAs (P-value cut-off is 0.05). Furthermore, miR-17-5p, miR-20a-5p and miR-19a-3p were validated by qRT-PCR in an independent series including five FL3a and five RLN cases. Data analysis revealed that the changing trend of miR-19a-3p and miR-17-5p expression in the independent series was basically identical with that of the microarray data.Conclusions: Our results are the first to reveal the miRNA expression profiling of Chinese FL and three upregulated miRNAs. Furthermore, the expression of miR-19a-3p and miR-17-5p were found to be significantly upregulated in FL3a. Further study needs to be urgently performed to reveal its potential role in the pathogenesis of FL in the near future. (C) 2016 Elsevier B.V. All rights reserved.