Comprehensive comparison of neonate and adult human platelet transcriptomes

PLoS One. 2017 Aug 16;12(8):e0183042. doi: 10.1371/journal.pone.0183042. eCollection 2017.

Abstract

Understanding the underlying mechanisms of the well-substantiated platelet hyporeactivity in neonates is of interest given their implications for the clinical management of newborns, a population at higher bleeding risk than adults (especially sick and preterm infants), as well as for gaining insight into the regulatory mechanisms of platelet biology. Transcriptome analysis is useful in identifying mRNA signatures affecting platelet function. However, human fetal/neonatal platelet transcriptome analysis has never before been reported. We have used mRNA expression array for the first time to compare platelet transcriptome changes during development. Microarray analysis was performed in pure platelet RNA obtained from adult and cord blood, using the same platform in two independent laboratories. A high correlation was obtained between array results for both adult and neonate platelet samples. There was also good agreement between results in our adult samples and outcomes previously reported in three different studies. Gene enrichment analysis showed that immunity- and platelet function-related genes are highly expressed at both developmental stages. Remarkably, 201 genes were found to be differentially expressed throughout development. In particular, neonatal platelets contain higher levels of mRNA that are associated with protein synthesis and processing, while carrying significantly lower levels of genes involved in calcium transport/metabolism and cell signaling (including GNAZ). Overall, our results point to variations in platelet transcriptome as possibly underlining the hypo-functional phenotype of neonatal platelets and provide further support for the role of platelets in cellular immune response. Better characterization of the platelet transcriptome throughout development can contribute to elucidate how transcriptome changes impact different pathological conditions.

MeSH terms

  • Adult
  • Age Factors
  • Blood Platelets / metabolism*
  • Cluster Analysis
  • Computational Biology / methods
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation*
  • Humans
  • Infant, Newborn
  • Male
  • Reproducibility of Results
  • Signal Transduction
  • Transcriptome*

Grants and funding

This work was supported by a research grant from Instituto de Salud Carlos III P14/01956. Research by the authors group is further supported by grants from CIBERER (CB15/00055) and Fundación Séneca (grant19841/FPI/15 for ECP).