高通量测序技术筛选口腔扁平苔藓患者组织中microRNAs的差异表达谱及分析

doi:10.13701/j.cnki.kqyxyj.2022.08.014

口腔医学研究 ›› 2022, Vol. 38 ›› Issue (8): 768-772.DOI: 10.13701/j.cnki.kqyxyj.2022.08.014

高通量测序技术筛选口腔扁平苔藓患者组织中microRNAs的差异表达谱及分析

刘健^*, 李天翠, 吴景景, 姚曼曼, 许彦枝, 李京哲

河北医科大学第四医院口腔科河北石家庄 050011

收稿日期:2021-12-16 出版日期:2022-08-28 发布日期:2022-08-24
通讯作者: *刘健,E-mail:zjh888fff@163.com
作者简介:刘健(1975~ ),女,河北省景县人,硕士,副主任医师,研究方向:口腔黏膜病学及牙周病学。
基金资助:
2018 老年病防治项目(编号:361006)中国癌症基金会北京希望马拉松专项基金(编号:NCC2017A25)2019政府资助临床医学优秀人才培养项目

Differential Expression Profiles and Difference Analysis of MicroRNAs in Tissues of Patients with Oral Lichen Planus were Screened by High-throughput Sequencing

LIU Jian^*, LI Tiancui, WU Jingjing, YAO Manman, XU Yanzhi, LI Jingzhe

Department of Stomatology, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China

Received:2021-12-16 Online:2022-08-28 Published:2022-08-24

摘要/Abstract

摘要： 目的: 通过高通量测序筛选口腔扁平苔藓(oral lichen planus, OLP)患者和正常人口腔黏膜组织中差异表达的微小RNA(miRNAs),探讨miRNAs在OLP发病机制中的作用。方法: 收集3例就诊于河北医科大学第四医院口腔科的OLP患者病变组织(P组)和3例正常口腔黏膜组织(N组),进行illumina高通量测序,筛选差异表达的miRNAs,利用生物信息学分析对差异最显著的6个miRNA进行靶基因预测和功能富集分析。结果: 应用DESeq软件,筛选出两组间差异表达的miRNAs共61个(|log2FoldChange| > 1,P＜0.05),其中表达上调的23个,下调的38个。选择上调(miR-449c-5p、miR-663b和miR-196a-5p)和下调(miR-133b、miR-1-3p和miR-133a-3p)最显著的miRNA各3个进行靶基因预测,GO分析显示这些靶基因主要富集在细胞膜区域,可能参与了细胞迁移、分化、代谢和分泌调节等生物过程,KEGG分析显示这些靶基因显著富集在MAPK、Rap1、NF-κB、Ras等信号通路上。结论: OLP和正常口腔黏膜之间存在差异表达的miRNA,这些miRNA可通过SEMA3F、HECW1、POLDIP等靶基因作用于MAPK、NF-κB、Rap1等通路,参与OLP的发生发展。

关键词: 口腔扁平苔藓, 高通量测序, 微小RNA, 生物信息学分析

Abstract: Objective: To explore the role of microRNAs (miRNAs) in the pathogenesis of oral lichen planus (OLP). Methods: The tissues of 3 OLP patients (experimental group) and 3 normal individual (control group) were collected in the Department of Stomatology of the Fourth Hospital of Hebei Medical University for illumina high-throughput sequencing to screen the differentially expressed miRNAs. The target genes were predicted and analyzed by bioinformatics analyses. Results: A total of 61 differentially expressed miRNAs were screened between the two groups by using DESeq software, including 23 up-regulated and 38 down-regulated miRNAs. Three of the most significantly up-regulated (miR-449c-5p, miR-663b, and miR-196a-5p) and down-regulated (miR-133b, miR-1-3p, and miR-133a-3p) miRNAs were selected for target gene prediction, and GO analysis revealed that these targets were mainly enriched in the cell membrane region and might be involved in biological processes such as cell migration, differentiation, metabolism, and secretion regulation. KEGG analysis revealed that these targets were significantly enriched in MAPK, Rap1, NF-κB, Ras, and other signaling pathways. Conclusion: There are differentially expressed miRNAs between OLP and normal oral mucosa, and these miRNAs can act on MAPK, NF-κB, Rap1 and other pathways through SEMA3F, HECW1, POLDIP and other target genes to participate in the development and progression of OLP.

Key words: oral lichen planus, high-throughput nucleotide sequencing, microRNAs, bioinformatics analyses

刘健, 李天翠, 吴景景, 姚曼曼, 许彦枝, 李京哲. 高通量测序技术筛选口腔扁平苔藓患者组织中microRNAs的差异表达谱及分析[J]. 口腔医学研究, 2022, 38(8): 768-772.

LIU Jian, LI Tiancui, WU Jingjing, YAO Manman, XU Yanzhi, LI Jingzhe. Differential Expression Profiles and Difference Analysis of MicroRNAs in Tissues of Patients with Oral Lichen Planus were Screened by High-throughput Sequencing[J]. Journal of Oral Science Research, 2022, 38(8): 768-772.

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高通量测序技术筛选口腔扁平苔藓患者组织中microRNAs的差异表达谱及分析

Differential Expression Profiles and Difference Analysis of MicroRNAs in Tissues of Patients with Oral Lichen Planus were Screened by High-throughput Sequencing

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