title: Transcriptome analysis reveals non-identical microRNA profiles between arterial and venous plasma.
abstract: 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.
authors.affiliation: Department of Physiology and Pathophysiology, Department of Biomedical Informatics, Centre for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
authors.forename: Wenjing
authors.initials: W
authors.lastname: Xu
authors.affiliation: Department of Physiology and Pathophysiology, Department of Biomedical Informatics, Centre for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Department of Physiology and Pathophysiology, Department of Biomedical Informatics, Centre for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
authors.forename: Guoheng
authors.initials: G
authors.lastname: Xu
authors.affiliation: Department of Physiology and Pathophysiology, Department of Biomedical Informatics, Centre for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Geng
authors.affiliation: Department of Physiology and Pathophysiology, Department of Biomedical Informatics, Centre for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
authors.forename: Qinghua
authors.initials: Q
authors.lastname: Cui
mesh_terms: D000818:Animals; D001158:Arteries; D015415:Biomarkers; D000074166:Circulating MicroRNA; D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D000073890:Liquid Biopsy; D008297:Male; D035683:MicroRNAs / Q000097:blood* / Q000235:genetics*; D009928:Organ Specificity; D051381:Rats; D059467:Transcriptome; D014680:Veins
chemical_list: D015415:Biomarkers; D000074166:Circulating MicroRNA; D035683:MicroRNAs
keywords: arterial plasma; circulating microRNA; expression profile; microarray; venous plasma