Research Papers:

Transcriptome analysis reveals non-identical microRNA profiles between arterial and venous plasma

Wenjing Xu, Yuan Zhou, Guoheng Xu, Bin Geng and Qinghua Cui _

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Oncotarget. 2017; 8:28471-28480. https://doi.org/10.18632/oncotarget.15310

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Wenjing Xu1,*, Yuan Zhou1,*, Guoheng Xu1, Bin Geng1, Qinghua Cui1

1School of Basic Medical Sciences, Peking University, Beijing, 100191, China

*These authors have contributed equally to this work

Correspondence to:

Qinghua Cui, email: cuiqinghua@hsc.pku.edu.cn

Guoheng Xu, email: xug@hsc.pku.edu.cn

Bin Geng, email: bingeng@hsc.pku.edu.cn

Keywords: circulating microRNA, arterial plasma, venous plasma, expression profile, microarray

Abbreviations: qRT-PCR, real-time quantitative reverse transcription polymerase chain reaction; FDR, false discovery rate

Received: November 22, 2016     Accepted: January 24, 2017     Published: February 14, 2017


Circulating microRNAs presented in venous plasma have been demonstrated as powerful biomarkers for the complex diseases like cancer. Nevertheless, those presented in arterial plasma remained largely unexplored. Here, using microarray technique, we compared microRNA expression profiles of the matched arterial and venous plasma samples from the same male rats. Though the microRNA profiles were largely similar, we identified 24 differentially expressed microRNAs, including 10 arterial highly expressed microRNAs and 14 venous highly expressed microRNAs. The differentially expressed microRNAs were validated by qRT-PCR. Computational analysis of these microRNAs and their targets indicated that arterial highly expressed microRNAs were overrepresented for functional terms like hematopoiesis and diseases like Crohn's Disease and leukemia; while venous highly expressed microRNAs were enriched for cell differentiation function, and diseases like distal myopathies and heart failure. Our analysis also suggested significant correlations between plasma microRNA expression and tissue microRNA expression. Four arterial highly expressed microRNAs also showed enriched expression in specific tissues and would be novel biomarker candidates.

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