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基于深度测序的鼻咽癌微小RNA调控网络综合分析

Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing.

作者信息

Wang Fan, Lu Juan, Peng Xiaohong, Wang Jie, Liu Xiong, Chen Xiaomei, Jiang Yiqi, Li Xiangping, Zhang Bao

机构信息

Department of Otolaryngology, Head and Neck Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.

Department of Guangdong No.2 District, BGI Genomics Co., Ltd, Shenzhen, 518083, China.

出版信息

J Exp Clin Cancer Res. 2016 Jan 22;35:17. doi: 10.1186/s13046-016-0292-4.

Abstract

BACKGROUND

MicroRNAs (miRNAs) have been shown to play a critical role in the development and progression of nasopharyngeal carcinoma (NPC). Although accumulating studies have been performed on the molecular mechanisms of NPC, the miRNA regulatory networks in cancer progression remain largely unknown. Laser capture microdissection (LCM) and deep sequencing are powerful tools that can help us to detect the integrated view of miRNA-target network.

METHODS

Illumina Hiseq2000 deep sequencing was used to screen differentially expressed miRNAs in laser-microdessected biopsies between 12 NPC and 8 chronic nasopharyngitis patients. The result was validated by real-time PCR on 201 NPC and 25 chronic nasopharyngitis patients. The potential candidate target genes of the miRNAs were predicted using published target prediction softwares (RNAhybrid, TargetScan, Miranda, PITA), and the overlay part was analyzed in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological process. The miRNA regulatory network analysis was performed using the Ingenuity Pathway Analysis (IPA) software.

RESULTS

Eight differentially expressed miRNAs were identified between NPC and chronic nasopharyngitis patients by deep sequencing. Further qRT-PCR assays confirmed 3 down-regulated miRNAs (miR-34c-5p, miR-375 and miR-449c-5p), 4 up-regulated miRNAs (miR-205-5p, miR-92a-3p, miR-193b-3p and miR-27a-5p). Additionally, the low level of miR-34c-5p (miR-34c) was significantly correlated with advanced TNM stage. GO and KEGG enrichment analyses showed that 914 target genes were involved in cell cycle, cytokine secretion and tumor immunology, and so on. IPA revealed that cancer was the top disease associated with those dysregulated miRNAs, and the genes regulated by miR-34c were in the center of miRNA-mRNA regulatory network, including TP53, CCND1, CDK6, MET and BCL2, and the PI3K/AKT/ mTOR signaling was regarded as a significant function pathway in this network.

CONCLUSION

Our study presents the current knowledge of miRNA regulatory network in NPC with combination of bioinformatics analysis and literature research. The hypothesis of miR-34c regulatory pathway may be beneficial in guiding further studies on the molecular mechanism of NPC tumorigenesis.

摘要

背景

微小RNA(miRNA)已被证明在鼻咽癌(NPC)的发生和发展中起关键作用。尽管对NPC的分子机制已进行了越来越多的研究,但癌症进展中的miRNA调控网络仍 largely未知。激光捕获显微切割(LCM)和深度测序是强大的工具,可帮助我们检测miRNA-靶标网络的整体情况。

方法

使用Illumina Hiseq2000深度测序筛选12例NPC患者和8例慢性鼻咽炎患者的激光显微切割活检组织中差异表达的miRNA。结果在201例NPC患者和25例慢性鼻咽炎患者中通过实时PCR进行验证。使用已发表的靶标预测软件(RNAhybrid、TargetScan、Miranda、PITA)预测miRNA的潜在候选靶基因,并在基因本体论(GO)和京都基因与基因组百科全书(KEGG)生物学过程中分析重叠部分。使用Ingenuity Pathway Analysis(IPA)软件进行miRNA调控网络分析。

结果

通过深度测序在NPC患者和慢性鼻咽炎患者之间鉴定出8种差异表达的miRNA。进一步的qRT-PCR分析证实了3种下调的miRNA(miR-34c-5p、miR-375和miR-449c-5p),4种上调的miRNA(miR-205-5p、miR-92a-3p、miR-193b-3p和miR-27a-5p)。此外,miR-34c-5p(miR-34c)的低水平与晚期TNM分期显著相关。GO和KEGG富集分析表明,914个靶基因参与细胞周期、细胞因子分泌和肿瘤免疫学等。IPA显示癌症是与那些失调的miRNA相关的首要疾病,并且由miR-34c调控的基因位于miRNA-mRNA调控网络的中心,包括TP53、CCND1、CDK6、MET和BCL2,并且PI3K/AKT/mTOR信号通路被认为是该网络中的重要功能途径。

结论

我们的研究结合生物信息学分析和文献研究,呈现了NPC中miRNA调控网络的当前知识。miR-34c调控途径的假设可能有助于指导对NPC肿瘤发生分子机制的进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db53/4722718/f3e730d540d1/13046_2016_292_Fig1_HTML.jpg

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