Identification of potential therapeutic target genes, key miRNAs and mechanisms in oral lichen planus by bioinformatics analysis

被引:5
|
作者
Gong, Cuihua [1 ]
Sun, Shangtong [2 ]
Liu, Bing [3 ]
Wang, Jing [4 ]
Chen, Xiaodong [5 ]
机构
[1] Dalian Hosp Stomatol, Dept Gen Emergency, Dalian 116021, Liaoning, Peoples R China
[2] Dalian Hosp Stomatol, Dept Periodontal Mucosa, Dalian 116021, Liaoning, Peoples R China
[3] Dalian Med Univ, Dept Orthoped Trauma, Affiliated Hosp 1, Dalian 116011, Liaoning, Peoples R China
[4] Dalian Med Univ, Dept Cosmet Surg, Affiliated Hosp 1, Dalian 116011, Liaoning, Peoples R China
[5] Dalian Hosp Stomatol, Dept Reconstruct Surg, 935 Changjiang Rd, Dalian 116021, Liaoning, Peoples R China
关键词
Oral lichen planus; Differentially expressed genes; Differentially expressed miRNA; Bioinformatics analysis; NF-KAPPA-B; SQUAMOUS-CELL CARCINOMA; MICRORNA TARGETS; CYCLE ARREST; APOPTOSIS; EXPRESSION; PATHOGENESIS; ASSOCIATION; ACTIVATION; PREDICTION;
D O I
10.1016/j.archoralbio.2017.02.013
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
The study aimed to identify the potential target genes and key miRNAs as well as to explore the underlying mechanisms in the pathogenesis of oral lichen planus (OLP) by bioinformatics analysis. The microarray data of GSE38617 were downloaded from Gene Expression Omnibus (GEO) database. A total of 7 OLP and 7 normal samples were used to identify the differentially expressed genes (DEGs) and miRNAs. The DEGs were then performed functional enrichment analyses. Furthermore, DEG-miRNA network and miRNA-function network were constructed by Cytoscape software. Total 1758 DEGs (598 up- and 1160 down-regulated genes) and 40 miRNAs (17 up- and 23 down-regulated miRNAs) were selected. The up-regulated genes were related to nuclear factor-Kappa B (NF-KB) signaling pathway, while down-regulated genes were mainly enriched in the function of ribosome. Tumor necrosis factor (TNF), caspase recruitment domain family, member 11 (CARD11) and mitochondrial ribosomal protein (MRP) genes were identified in these functions. In addition, miR-302 was a hub node in DEG-miRNA network and regulated cyclin D1 (CCND1). MiR-548a-2 was the key miRNA in miRNA-function network by regulating multiple functions including ribosomal function. The NF-KB signaling pathway and ribosome function may be the pathogenic mechanisms of OLP. The genes such as TNF, CARD11, MRP genes and CCND1 may be potential therapeutic target genes in OLP. MiR-548a-2 and miR-302 may play important roles in OLP development. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:122 / 128
页数:7
相关论文
共 50 条
  • [31] Human -Defensin 2 Expression in Oral Epithelium: Potential Therapeutic Targets in Oral Lichen Planus
    Salem, Abdelhakim
    Almahmoudi, Rabeia
    Hagstrom, Jaana
    Stark, Holger
    Nordstrom, Dan
    Salo, Tuula
    Eklund, Kari K.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (07)
  • [32] Identification of key genes and therapeutic drugs for cocaine addiction using integrated bioinformatics analysis
    Wang, Xu
    Sun, Shibin
    Chen, Hongwei
    Yun, Bei
    Zhang, Zihan
    Wang, Xiaoxi
    Wu, Yifan
    Lv, Junjie
    He, Yuehan
    Li, Wan
    Chen, Lina
    FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [33] Identification of miRNAs and target genes associated with lymph node metastasis in cervical cancer using bioinformatics analysis
    Ding, Yishan
    Wu, Xiaorong
    Yang, Xiaofeng
    TOXICOLOGY MECHANISMS AND METHODS, 2023, 33 (08) : 625 - 635
  • [34] Identification of potential therapeutic target genes and mechanisms in non-small-cell lung carcinoma in non-smoking women based on bioinformatics analysis
    Zhou, W.
    Yin, M.
    Cui, H.
    Wang, N.
    Zhao, L. -L.
    Yuan, L. -Z.
    Yang, X. -P.
    Ding, X. -M.
    Men, F. -Z.
    Ma, X.
    Na, J. -R.
    EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2015, 19 (18) : 3375 - 3384
  • [36] Bioinformatics analyses of potential ACLF biological mechanisms and identification of immune-related hub genes and vital miRNAs
    Jiajun Liang
    Xiaoyi Wei
    Weixin Hou
    Hanjing Wang
    Qiuyun Zhang
    Yanbin Gao
    Yuqiong Du
    Scientific Reports, 12
  • [37] Bioinformatics analyses of potential ACLF biological mechanisms and identification of immune-related hub genes and vital miRNAs
    Liang, Jiajun
    Wei, Xiaoyi
    Hou, Weixin
    Wang, Hanjing
    Zhang, Qiuyun
    Gao, Yanbin
    Du, Yuqiong
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [38] Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis
    Chen, Xiaojie
    Pan, Yuanbo
    Yan, Mengxia
    Bao, Guanshui
    Sun, Xuhong
    MOLECULAR MEDICINE REPORTS, 2020, 22 (02) : 859 - 869
  • [39] Identification of Key Genes and Underlying Mechanisms in Acute Kawasaki Disease Based on Bioinformatics Analysis
    Gao, Side
    Ma, Wenjian
    Lin, Xuze
    Huang, Sizhuang
    Yu, Mengyue
    MEDICAL SCIENCE MONITOR, 2021, 27
  • [40] Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis
    Zhang, Lijie
    Lu, Donghui
    Liu, Meiqin
    Zhang, Mingjin
    Peng, Quan
    MOLECULAR MEDICINE REPORTS, 2019, 20 (03) : 2316 - 2324