Human platelet microRNA-mRNA networks associated with age and gender revealed by integrated plateletomics

Lukas M. Simon, Leonard C. Edelstein, Srikanth Nagalla, Angela B. Woodley, Edward S. Chen, Xianguo Kong, Lin Ma, Paolo Fortina, Satya Kunapuli, Michael Holinstat, Steven E. McKenzie, Jing Fei Dong, Chad A. Shaw, Paul F. Bray

Research output: Contribution to journalArticlepeer-review

178 Scopus citations

Abstract

There is little data considering relationships among human RNA, demographic variables, and primary human cell physiology. The platelet RNA and expression-1 study measured platelet aggregation to arachidonic acid, ADP, protease-activated receptor (PAR) 1 activation peptide (PAR1-AP), and PAR4-AP, as well as mRNA and microRNA (miRNA) levels in platelets from 84 white and 70 black healthy subjects. A total of 5911 uniquely mapped mRNAs and 181 miRNAs were commonly expressed and validated in a separate cohort. One hundred twenty-nine mRNAs and 15 miRNAs were differentially expressed (DE) by age, and targets of these miRNAs were over-represented among these mRNAs. Fifty-four mRNAs and 9 miRNAs were DE by gender. Networks of miRNAs targeting mRNAs, both DE by age and gender, were identified. The inverse relationship in these RNA pairs suggests miRNAs regulate mRNA levels on aging and between genders. A simple, interactive public web tool (www.plateletomics.com) was developed that permits queries of RNA levels and associations among RNA, platelet aggregation and demographic variables. Access to these data will facilitate discovery of mechanisms of miRNA regulation of gene expression. These results provide new insights into aging and gender, and future platelet RNA association studies must account for age and gender.

Original languageEnglish (US)
Pages (from-to)e37-e45
JournalBlood
Volume123
Issue number16
DOIs
StatePublished - Apr 17 2014

ASJC Scopus subject areas

  • Biochemistry
  • Immunology
  • Hematology
  • Cell Biology

Fingerprint

Dive into the research topics of 'Human platelet microRNA-mRNA networks associated with age and gender revealed by integrated plateletomics'. Together they form a unique fingerprint.

Cite this