Plasma extracellular RNA profiles in healthy and cancer patients

Tiezheng Yuan, Xiaoyi Huang, Mark Woodcock, Meijun Du, Rachel Dittmar, Yuan Wang, Susan Tsai, Manish Kohli, Lisa Boardman, Tushar Patel, Liang Wang

Research output: Contribution to journalArticle

Abstract

Extracellular vesicles are selectively enriched in RNA that has potential as disease biomarkers. To systemically characterize circulating extracellular RNA (exRNA) profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 50 healthy individuals and 142 cancer patients. Of ∼12.6 million raw reads for each individual, the number of mappable reads aligned to RNA references was ∼5.4 million including miRNAs (∼40.4%), piwiRNAs (∼40.0%), pseudo-genes (∼3.7%), lncRNAs (∼2.4%), tRNAs (∼2.1%), and mRNAs (∼2.1%). By expression stability testing, we identified a set of miRNAs showing relatively consistent expression, which may serve as reference control for exRNA quantification. By performing multivariate analysis of covariance, we identified significant associations of these exRNAs with age, sex and different types of cancers. In particular, down-regulation of miR-125a-5p and miR-1343-3p showed an association with all cancer types tested (false discovery rate

Original languageEnglish (US)
Article number19413
JournalScientific Reports
Volume6
DOIs
StatePublished - Jan 20 2016
Externally publishedYes

Fingerprint

RNA
MicroRNAs
Neoplasms
Long Noncoding RNA
RNA Sequence Analysis
Transfer RNA
Down-Regulation
Multivariate Analysis
Biomarkers
Messenger RNA
Genes
Extracellular Vesicles

ASJC Scopus subject areas

  • General

Cite this

Yuan, T., Huang, X., Woodcock, M., Du, M., Dittmar, R., Wang, Y., ... Wang, L. (2016). Plasma extracellular RNA profiles in healthy and cancer patients. Scientific Reports, 6, [19413]. https://doi.org/10.1038/srep19413

Plasma extracellular RNA profiles in healthy and cancer patients. / Yuan, Tiezheng; Huang, Xiaoyi; Woodcock, Mark; Du, Meijun; Dittmar, Rachel; Wang, Yuan; Tsai, Susan; Kohli, Manish; Boardman, Lisa; Patel, Tushar; Wang, Liang.

In: Scientific Reports, Vol. 6, 19413, 20.01.2016.

Research output: Contribution to journalArticle

Yuan, T, Huang, X, Woodcock, M, Du, M, Dittmar, R, Wang, Y, Tsai, S, Kohli, M, Boardman, L, Patel, T & Wang, L 2016, 'Plasma extracellular RNA profiles in healthy and cancer patients', Scientific Reports, vol. 6, 19413. https://doi.org/10.1038/srep19413
Yuan T, Huang X, Woodcock M, Du M, Dittmar R, Wang Y et al. Plasma extracellular RNA profiles in healthy and cancer patients. Scientific Reports. 2016 Jan 20;6. 19413. https://doi.org/10.1038/srep19413
Yuan, Tiezheng ; Huang, Xiaoyi ; Woodcock, Mark ; Du, Meijun ; Dittmar, Rachel ; Wang, Yuan ; Tsai, Susan ; Kohli, Manish ; Boardman, Lisa ; Patel, Tushar ; Wang, Liang. / Plasma extracellular RNA profiles in healthy and cancer patients. In: Scientific Reports. 2016 ; Vol. 6.
@article{bbbb8e152f41443285361d6820e6a915,
title = "Plasma extracellular RNA profiles in healthy and cancer patients",
abstract = "Extracellular vesicles are selectively enriched in RNA that has potential as disease biomarkers. To systemically characterize circulating extracellular RNA (exRNA) profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 50 healthy individuals and 142 cancer patients. Of ∼12.6 million raw reads for each individual, the number of mappable reads aligned to RNA references was ∼5.4 million including miRNAs (∼40.4{\%}), piwiRNAs (∼40.0{\%}), pseudo-genes (∼3.7{\%}), lncRNAs (∼2.4{\%}), tRNAs (∼2.1{\%}), and mRNAs (∼2.1{\%}). By expression stability testing, we identified a set of miRNAs showing relatively consistent expression, which may serve as reference control for exRNA quantification. By performing multivariate analysis of covariance, we identified significant associations of these exRNAs with age, sex and different types of cancers. In particular, down-regulation of miR-125a-5p and miR-1343-3p showed an association with all cancer types tested (false discovery rate",
author = "Tiezheng Yuan and Xiaoyi Huang and Mark Woodcock and Meijun Du and Rachel Dittmar and Yuan Wang and Susan Tsai and Manish Kohli and Lisa Boardman and Tushar Patel and Liang Wang",
year = "2016",
month = "1",
day = "20",
doi = "10.1038/srep19413",
language = "English (US)",
volume = "6",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Plasma extracellular RNA profiles in healthy and cancer patients

AU - Yuan, Tiezheng

AU - Huang, Xiaoyi

AU - Woodcock, Mark

AU - Du, Meijun

AU - Dittmar, Rachel

AU - Wang, Yuan

AU - Tsai, Susan

AU - Kohli, Manish

AU - Boardman, Lisa

AU - Patel, Tushar

AU - Wang, Liang

PY - 2016/1/20

Y1 - 2016/1/20

N2 - Extracellular vesicles are selectively enriched in RNA that has potential as disease biomarkers. To systemically characterize circulating extracellular RNA (exRNA) profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 50 healthy individuals and 142 cancer patients. Of ∼12.6 million raw reads for each individual, the number of mappable reads aligned to RNA references was ∼5.4 million including miRNAs (∼40.4%), piwiRNAs (∼40.0%), pseudo-genes (∼3.7%), lncRNAs (∼2.4%), tRNAs (∼2.1%), and mRNAs (∼2.1%). By expression stability testing, we identified a set of miRNAs showing relatively consistent expression, which may serve as reference control for exRNA quantification. By performing multivariate analysis of covariance, we identified significant associations of these exRNAs with age, sex and different types of cancers. In particular, down-regulation of miR-125a-5p and miR-1343-3p showed an association with all cancer types tested (false discovery rate

AB - Extracellular vesicles are selectively enriched in RNA that has potential as disease biomarkers. To systemically characterize circulating extracellular RNA (exRNA) profiles, we performed RNA sequencing analysis on plasma extracellular vesicles derived from 50 healthy individuals and 142 cancer patients. Of ∼12.6 million raw reads for each individual, the number of mappable reads aligned to RNA references was ∼5.4 million including miRNAs (∼40.4%), piwiRNAs (∼40.0%), pseudo-genes (∼3.7%), lncRNAs (∼2.4%), tRNAs (∼2.1%), and mRNAs (∼2.1%). By expression stability testing, we identified a set of miRNAs showing relatively consistent expression, which may serve as reference control for exRNA quantification. By performing multivariate analysis of covariance, we identified significant associations of these exRNAs with age, sex and different types of cancers. In particular, down-regulation of miR-125a-5p and miR-1343-3p showed an association with all cancer types tested (false discovery rate

UR - http://www.scopus.com/inward/record.url?scp=84955275191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84955275191&partnerID=8YFLogxK

U2 - 10.1038/srep19413

DO - 10.1038/srep19413

M3 - Article

C2 - 26786760

AN - SCOPUS:84955275191

VL - 6

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 19413

ER -