Bioinformatic Interrogation of 5p-arm and 3p-arm Specific MiRNA Expression Using TCGA Datasets

Overview

Journal J Clin Med

Specialty General Medicine

Date 2015 Sep 22

PMID 26389959

Citations 11

Authors

Wei-Ting Kuo

Ming-Wei Su

Yungling Leo Lee

Chien-Hsiun Chen

Chew-Wun Wu

Wen-Liang Fang

Kuo-Hung Huang

Wen-Chang Lin

Affiliations

Soon will be listed here.

Abstract

MicroRNAs (miRNAs) play important roles in cellular functions and developmental processes. They are also implicated in oncogenesis mechanisms and could serve as potential cancer biomarkers. Using high-throughput miRNA sequencing information, expression of both the 5p-arm and 3p-arm mature miRNAs were demonstrated and generated from the single miRNA hairpin precursor. However, current miRNA annotations lack comprehensive 5p-arm/3p-arm feature annotations. Among known human mature miRNAs, only half of them are annotated with arm features. This generated ambiguous results in many miRNA-Sequencing (miRNA-Seq) studies. In this report, we have interrogated the TCGA (the Cancer Genome Atlas) miRNA expression datasets with an improved, fully annotated human 5p-arm and 3p-arm miRNA reference list. By utilizing this comprehensive miRNA arm-feature annotations, enhanced determinations and clear annotations were achieved for the miRNA isoforms (isomiRs) recognized from the sequencing reads. In the gastric cancer (STAD) dataset, as an example, 32 5p-arm/3p-arm OPEN ACCESS J. Clin. Med. 2015, 4 1799 specific miRNAs were found to be down-regulated and 24 5p-arm/3p-arm specific miRNAs were found to be up-regulated. We have further extended miRNA biomarker discoveries to additional TCGA miRNA-Seq datasets and provided extensive expression information on 5p-arm/3p-arm miRNAs across multiple cancer types. Our results identified several miRNAs that could be potential common biomarkers for human cancers.

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