Literature DB >> 28587377

Network of microRNA, transcription factors, target genes and host genes in human mesothelioma.

Guanhua Zhang1,2, Zhiwen Xu1,2,3, Ning Wang2,3.   

Abstract

Significant progress has been made into the elucidation of the etiology of mesothelioma at the level of the genes and miRNA. Nevertheless, researchers in this field remain unable to systematically construct a network that demonstrates the specific relationships between genes, miRNA and transcription factors (TFs). TFs are key regulatory elements that control gene expression. In the present study, according to the transcriptional regulatory rule, three regulatory networks were constructed using experimentally validated elements to explore the pathogenesis of mesothelioma. We focused on the regulatory relationship between the miRNA and its host gene, the miRNA and its target gene, and the miRNA and TFs. Expressed, related and global networks were constructed, and the similarities and differences between them were analyzed. Notably, the differentially expressed network used in the present study, which was based on experimentally validated data, contained numerous incorrect expression signal pathways for the pathogenesis of mesothelioma. In theory, if these errors are corrected, this cancer may be prevented or cured. Subsequent analysis of the differentially expressed nodes and pathways may help to explain the pathogenesis of mesothelioma. Notably, some of these exhibited a self-adaption relationship, which was detected by listing the upstream and downstream elements in a table with differentially expressed genes and miRNA. The findings of the present study demonstrated detailed transcriptional regulation, which may serve as a reference to aid further elucidation of the pathogenesis of mesothelioma.

Entities:  

Keywords:  host gene; mesothelioma; microRNA; network; target genes; transcription factors

Year:  2017        PMID: 28587377      PMCID: PMC5450609          DOI: 10.3892/etm.2017.4296

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


  24 in total

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Journal:  Database (Oxford)       Date:  2010-08-05       Impact factor: 3.451

5.  Differential patterns of microRNA expression in neuroblastoma are correlated with prognosis, differentiation, and apoptosis.

Authors:  Yongxin Chen; Raymond L Stallings
Journal:  Cancer Res       Date:  2007-02-01       Impact factor: 12.701

6.  Identification of mammalian microRNA host genes and transcription units.

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Journal:  Genome Res       Date:  2004-09-13       Impact factor: 9.043

7.  Epigenetics of renal cell carcinoma: the path towards new diagnostics and therapeutics.

Authors:  Mark R Morris; Eamonn R Maher
Journal:  Genome Med       Date:  2010-09-03       Impact factor: 11.117

8.  The UCSC Genome Browser database: update 2011.

Authors:  Pauline A Fujita; Brooke Rhead; Ann S Zweig; Angie S Hinrichs; Donna Karolchik; Melissa S Cline; Mary Goldman; Galt P Barber; Hiram Clawson; Antonio Coelho; Mark Diekhans; Timothy R Dreszer; Belinda M Giardine; Rachel A Harte; Jennifer Hillman-Jackson; Fan Hsu; Vanessa Kirkup; Robert M Kuhn; Katrina Learned; Chin H Li; Laurence R Meyer; Andy Pohl; Brian J Raney; Kate R Rosenbloom; Kayla E Smith; David Haussler; W James Kent
Journal:  Nucleic Acids Res       Date:  2010-10-18       Impact factor: 16.971

9.  miR2Disease: a manually curated database for microRNA deregulation in human disease.

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10.  Up-regulated MicroRNA-181a induces carcinogenesis in hepatitis B virus-related hepatocellular carcinoma by targeting E2F5.

Authors:  Chengcheng Zou; Yongguo Li; Yiyi Cao; Jinnan Zhang; Jingrong Jiang; Yanrui Sheng; Sen Wang; Ailong Huang; Hua Tang
Journal:  BMC Cancer       Date:  2014-02-17       Impact factor: 4.430

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  1 in total

Review 1.  Role of miRNAs in hypoxia-related disorders.

Authors:  A Gupta; R Sugadev; Y K Sharma; Y Yahmad; P Khurana
Journal:  J Biosci       Date:  2018-09       Impact factor: 1.826

  1 in total

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