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

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 microv...

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Autores principales: Miranda, Kevin C., Bond, Daniel T., Levin, Joshua Z., Adiconis, Xian, Sivachenko, Andrey, Russ, Carsten, Brown, Dennis, Nusbaum, Chad, Russo, Leileata M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015934/
https://www.ncbi.nlm.nih.gov/pubmed/24816817
http://dx.doi.org/10.1371/journal.pone.0096094
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author Miranda, Kevin C.
Bond, Daniel T.
Levin, Joshua Z.
Adiconis, Xian
Sivachenko, Andrey
Russ, Carsten
Brown, Dennis
Nusbaum, Chad
Russo, Leileata M.
author_facet Miranda, Kevin C.
Bond, Daniel T.
Levin, Joshua Z.
Adiconis, Xian
Sivachenko, Andrey
Russ, Carsten
Brown, Dennis
Nusbaum, Chad
Russo, Leileata M.
author_sort Miranda, Kevin C.
collection PubMed
description 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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spelling pubmed-40159342014-05-14 Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA Miranda, Kevin C. Bond, Daniel T. Levin, Joshua Z. Adiconis, Xian Sivachenko, Andrey Russ, Carsten Brown, Dennis Nusbaum, Chad Russo, Leileata M. PLoS One Research Article 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. Public Library of Science 2014-05-09 /pmc/articles/PMC4015934/ /pubmed/24816817 http://dx.doi.org/10.1371/journal.pone.0096094 Text en © 2014 Miranda et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Miranda, Kevin C.
Bond, Daniel T.
Levin, Joshua Z.
Adiconis, Xian
Sivachenko, Andrey
Russ, Carsten
Brown, Dennis
Nusbaum, Chad
Russo, Leileata M.
Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA
title Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA
title_full Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA
title_fullStr Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA
title_full_unstemmed Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA
title_short Massively Parallel Sequencing of Human Urinary Exosome/Microvesicle RNA Reveals a Predominance of Non-Coding RNA
title_sort massively parallel sequencing of human urinary exosome/microvesicle rna reveals a predominance of non-coding rna
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015934/
https://www.ncbi.nlm.nih.gov/pubmed/24816817
http://dx.doi.org/10.1371/journal.pone.0096094
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