ArticleJournal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban2016
Computational analysis reveals microRNA-mRNA regulatory network in esophageal squamous cell carcinoma.
Article in Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
MicroRNAs (miRNAs) are known to regulate post-transcriptional gene expression. They are involved in carcinogenesis and tumor progression. The aim of this study was to explore the microRNA-mRNA regulatory network in esophageal squamous cell carcinoma (ESCC) using comprehensive computational approaches. In this study we have selected a total of 11 miRNAs from one previously reported study in ESCC. The mRNA targets of these miRNAs were predicted using various algorithms. The expression profiles of these mRNA targets were identified on DNA microarray experiment dataset across ESCC tissue samples. Based on the miRNA-mRNA regulatory relationships, the network was inferred. A total of 23 miRNA-mRNA regulatory interactions, with 11 miRNAs and 13 mRNA targets, were inferred in ESCC. The miRNA-mRNA regulatory network with increased confidence provides insights into the progression of ESCC and may serve as a biomarker for prognosis or the aggressiveness of ESCC. However, the results should be examined with further experimental validation.
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