Microarray-based analysis of gene regulation by transcription factors and microRNAs in glioma

被引:22
|
作者
Yu, Junchi [1 ]
Cai, Xuejian [1 ]
He, Jianqing [1 ]
Zhao, Wei [1 ]
Wang, Qiang [1 ]
Liu, Bin [1 ]
机构
[1] Mil Peoples Liberat Army 101 Hosp, Traumat Brain Injury Ctr, Dept Neurosurg, Wuxi 214000, Jiangsu, Peoples R China
关键词
Transcription factors; MicroRNAs; Glioma; Pathway; GROWTH-FACTOR RECEPTOR; MALIGNANT GLIOMA; GLIOBLASTOMA; EXPRESSION; PROLIFERATION; DISCOVERY; PATHWAYS; CALCIUM; CELLS; SMAD;
D O I
10.1007/s10072-012-1228-1
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Transcription factor (TF) and microRNA (miRNA) are two best characterized gene regulators that have been found to play an important role in gene regulation. However, high throughput screening the interaction relationships between transcription factors, microRNAs, and target genes in gliomas remains rare. Using GSE16666 and GSE13091 datasets downloaded from Gene Expression Omnibus data, we first screened the differentially expressed genes in gliomas. We explored the regulation relationship among TFs, miRNAs and target genes by different algorithms. The underlying molecular mechanisms of these crucial target genes were investigated by Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Our study has developed three regulation relationships between two TFs and three miRNAs, including TP53/hsa-mir-155, TP53/hsa-mir-125b, and KLF2/hsa-mir-126. In addition, we also constructed a regulation network of the target genes by transcription factors and miRNAs. Some of them had been demonstrated to be involved in glioma progression via various pathways. For example, ATP2B2 target gene could be regulated by has-mir-181a to involve in calcium signaling pathway. RB1 could be regulated by has-miR-26a to participate in pathways in cancer. Smad7 could be regulated by has-miR-21 via intracellular TGF-beta signal transduction. We constructed a comprehensive regulatory network which was found to play an important role in gliomas progression.
引用
收藏
页码:1283 / 1289
页数:7
相关论文
共 50 条
  • [11] Microarray-Based Gene Expression Analysis of Hepatocellular Carcinoma
    Maass, Thorsten
    Sfakianakis, Ioannis
    Staib, Frank
    Krupp, Markus
    Galle, Peter R.
    Teufel, Andreas
    CURRENT GENOMICS, 2010, 11 (04) : 261 - 268
  • [12] Microarray-based analysis of gene activity patterns in osteosarcoma
    Anne Forus
    Javed Khan
    Ola Myklebost
    Paul S. Meltzer
    Nature Genetics, 2001, 27 (Suppl 4) : 75 - 75
  • [13] Gene Regulation by Transcription Factors and Splicing Factors Coupled With microRNAs in Animals
    Pang Jian-Hui
    Ren Chang-Hong
    Li Zhi-Feng
    Liu Hu-Qi
    Zhang Cheng-Gang
    PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2009, 36 (02) : 151 - 156
  • [14] Microarray-based analysis of cadmium-responsive microRNAs in rice (Oryza sativa)
    Ding, Yanfei
    Chen, Zhen
    Zhu, Cheng
    JOURNAL OF EXPERIMENTAL BOTANY, 2011, 62 (10) : 3563 - 3573
  • [15] Microarray-based analysis: Identification of hypoxia-regulated microRNAs in retinoblastoma cells
    Xu, Xiaofang
    Jia, Renbing
    Zhou, Yixiong
    Song, Xin
    Wang, Jing
    Qian, Guanxiang
    Ge, Shengfang
    Fan, Xianqun
    INTERNATIONAL JOURNAL OF ONCOLOGY, 2011, 38 (05) : 1385 - 1393
  • [16] Microarray-based Analysis of Genes, Transcription Factors, and Epigenetic Modifications in Lung Cancer Exposed to Nitric Oxide
    Maiuthed, Arnatchai
    Prakhongcheep, Ornjira
    Chanvorachote, Pithi
    CANCER GENOMICS & PROTEOMICS, 2020, 17 (04) : 401 - 415
  • [17] Microarray-based Epitope Analysis
    Shimaoka, Hideyuki
    Takada, Wataru
    Matsushita, Takahiko
    GLYCOBIOLOGY, 2013, 23 (11) : 1363 - 1364
  • [18] Automated target preparation for microarray-based gene expression analysis
    Raymond, Frederic
    Metairon, Sylviane
    Borner, Roland
    Hofmann, Markus
    Kussmann, Martin
    ANALYTICAL CHEMISTRY, 2006, 78 (18) : 6299 - 6305
  • [19] Microarray-based gene set analysis: a comparison of current methods
    Sarah Song
    Michael A Black
    BMC Bioinformatics, 9
  • [20] Microarray-based gene set analysis: a comparison of current methods
    Song, Sarah
    Black, Michael A.
    BMC BIOINFORMATICS, 2008, 9 (1)