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Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA

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2014

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Public Library of Science
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Miranda, Kevin C., Daniel T. Bond, Joshua Z. Levin, Xian Adiconis, Andrey Sivachenko, Carsten Russ, Dennis Brown, Chad Nusbaum, and Leileata M. Russo. 2014. “Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA.” PLoS ONE 9 (5): e96094. doi:10.1371/journal.pone.0096094. http://dx.doi.org/10.1371/journal.pone.0096094.

Abstract

Intact RNA from exosomes/microvesicles (collectively referred to as microvesicles) has sparked much interest as potential biomarkers for the non-invasive analysis of disease. Here we use the Illumina Genome Analyzer to determine the comprehensive array of nucleic acid reads present in urinary microvesicles. Extraneous nucleic acids were digested using RNase and DNase treatment and the microvesicle inner nucleic acid cargo was analyzed with and without DNase digestion to examine both DNA and RNA sequences contained in microvesicles. Results revealed that a substantial proportion (∼87%) of reads aligned to ribosomal RNA. Of the non-ribosomal RNA sequences, ∼60% aligned to non-coding RNA and repeat sequences including LINE, SINE, satellite repeats, and RNA repeats (tRNA, snRNA, scRNA and srpRNA). The remaining ∼40% of non-ribosomal RNA reads aligned to protein coding genes and splice sites encompassing approximately 13,500 of the known 21,892 protein coding genes of the human genome. Analysis of protein coding genes specific to the renal and genitourinary tract revealed that complete segments of the renal nephron and collecting duct as well as genes indicative of the bladder and prostate could be identified. This study reveals that the entire genitourinary system may be mapped using microvesicle transcript analysis and that the majority of non-ribosomal RNA sequences contained in microvesicles is potentially functional non-coding RNA, which play an emerging role in cell regulation.

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Biology and Life Sciences, Cell Biology, Molecular Cell Biology, Molecular Biology, Molecular Biology Techniques, Sequencing Techniques, Computational Biology, Biochemistry, Biomarkers, Nucleic Acids, RNA, Genetics, Genomics, Systems Biology, Medicine and Health Sciences, Diagnostic Medicine, Nephrology

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