Exploring the miRNA-mRNA Regulatory Network in Clear Cell Renal Cell Carcinomas by Next-Generation Sequencing Expression ProfilesReport as inadecuate




Exploring the miRNA-mRNA Regulatory Network in Clear Cell Renal Cell Carcinomas by Next-Generation Sequencing Expression Profiles - Download this document for free, or read online. Document in PDF available to download.

BioMed Research International - Volume 2014 2014, Article ID 948408, 11 pages -

Research Article

Plant Molecular Biology, Molecular BioSciences, Goethe University, Marie-Curie-Street 9, 60439 Frankfurt, Germany

GenXpro GmbH, Frankfurt Biotechnology Innovation Center, Altenhöferallee 3, 60438 Frankfurt, Germany

Department of Legal Science, Goethe University, Grüneburgplatz 1, 60323 Frankfurt, Germany

Received 8 March 2014; Accepted 22 April 2014; Published 22 May 2014

Academic Editor: Paul Crispen

Copyright © 2014 Sören Müller and Katharina Nowak. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Altered microRNA miRNA expression is a hallmark of many cancer types. The combined analysis of miRNA and messenger RNA mRNA expression profiles is crucial to identifying links between deregulated miRNAs and oncogenic pathways. Therefore, we investigated the small non-coding snc transcriptomes of nine clear cell renal cell carcinomas ccRCCs and adjacent normal tissues for alterations in miRNA expression using a publicly available small RNA-Sequencing sRNA-Seq raw-dataset. We constructed a network of deregulated miRNAs and a set of differentially expressed genes publicly available from an independent study to in silico determine miRNAs that contribute to clear cell renal cell carcinogenesis. From a total of 1,672 sncRNAs, 61 were differentially expressed across all ccRCC tissue samples. Several with known implications in ccRCC development, like the upregulated miR-21-5p, miR-142-5p, as well as the downregulated miR-106a-5p, miR-135a-5p, or miR-206. Additionally, novel promising candidates like miR-3065, which i.a. targets NRP2 and FLT1, were detected in this study. Interaction network analysis revealed pivotal roles for miR-106a-5p, whose loss might contribute to the upregulation of 49 target mRNAs, miR-135a-5p 32 targets, miR-206 28 targets, miR-363-3p 22 targets, and miR-216b 13 targets. Among these targets are the angiogenesis, metastasis, and motility promoting oncogenes c-MET, VEGFA, NRP2, and FLT1, the latter two coding for VEGFA receptors.





Author: Sören Müller and Katharina Nowak

Source: https://www.hindawi.com/



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