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利用基因芯片对中国滤泡性淋巴瘤进行微小RNA表达谱分析:一项初步研究。

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

作者信息

Pan Yi, Guo Yan, Luo Ye, Li Hua, Xu Yong

机构信息

Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer and Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.

Department of Epidemiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer and Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.

出版信息

Int Immunopharmacol. 2016 Oct;39:41-47. doi: 10.1016/j.intimp.2016.07.006. Epub 2016 Jul 10.

DOI:10.1016/j.intimp.2016.07.006
PMID:27409728
Abstract

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™ 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 upregulated and 68 miRNAs were downregulated, according to P-value (<0.05) and fold change (FC>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.

摘要

背景

微小RNA(miRNA)已被广泛认为是参与致癌作用的各种生物学过程中的关键调节因子。然而,中国滤泡性淋巴瘤(FL)的全面miRNA谱仍然完全未知。

方法

使用Exiqon miRCURY LNA™ microRNA Array(v.18.0)检测三个中国FL样本的miRNA表达谱,并与三个反应性淋巴结(RLN)进行比较。采用定量实时聚合酶链反应(qRT-PCR)在不同系列中确认所选的miRNA。使用三个数据库(miRAnda、miRBase和TargetScan)预测推定的靶基因。进行生物信息学分析(基因本体分析和通路分析)以进行进一步评估。

结果

微阵列分析表明有1643个miRNA表达;根据P值(<0.05)和倍数变化(FC>2倍),其中103个miRNA上调,68个miRNA下调。此外,qRT-PCR用于确认miR-17-5p、miR-20a-5p和miR-19a-3p上调,而miR-3615下调(P<0.05)。使用生物信息学分析(基因本体分析和通路分析)进行进一步评估。通路分析表明25条通路与差异表达的miRNA相对应(P值截止为0.05)。此外,在包括五个FL3a和五个RLN病例的独立系列中通过qRT-PCR验证了miR-17-5p、miR-20a-5p和miR-19a-3p。数据分析显示独立系列中miR-19a-3p和miR-17-5p表达的变化趋势与微阵列数据基本一致。

结论

我们的结果首次揭示了中国FL的miRNA表达谱以及三个上调的miRNA。此外,发现miR-19a-3p和miR-17-5p在FL3a中表达明显上调。迫切需要在不久的将来进行进一步研究以揭示其在FL发病机制中的潜在作用。

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