title: The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome.
abstract: BACKGROUND
  For the anucleate platelet it has been unclear how well platelet transcriptomes correlate among different donors or across different RNA profiling platforms, and what the transcriptomes' relationship is with the platelet proteome. We profiled the platelet transcriptome of 10 healthy young males (5 white and 5 black) with no notable clinical history using RNA sequencing and by Affymetrix microarray.
  
  
  RESULTS
  We found that the abundance of platelet mRNA transcripts was highly correlated across the 10 individuals, independently of race and of the employed technology. Our RNA-seq data showed that these high inter-individual correlations extend beyond mRNAs to several categories of non-coding RNAs. Pseudogenes represented a notable exception by exhibiting a difference in expression by race. Comparison of our mRNA signatures to a publicly available quantitative platelet proteome showed that most (87.5%) identified platelet proteins had a detectable corresponding mRNA. However, a high number of mRNAs that were present in the transcriptomes of all 10 individuals had no representation in the proteome. Spearman correlations of the relative abundances for those genes represented by both an mRNA and a protein showed a weak (~0.3) connection. Further analysis of the overlapping and non-overlapping platelet mRNAs and proteins identified gene groups corresponding to distinct cellular processes.
  
  
  CONCLUSIONS
  The results of our analyses provide novel insights for platelet biology, show only a weak connection between the platelet transcriptome and proteome, and indicate that it is feasible to assemble a platelet mRNA-ome that can serve as a reference for future platelet transcriptomic studies of human health and disease.
authors: Eric R
authors: ER
authors: Londin
authors: Eleftheria
authors: E
authors: Hatzimichael
authors: Phillipe
authors: P
authors: Loher
authors: Leonard
authors: L
authors: Edelstein
authors: Chad
authors: C
authors: Shaw
authors: Kathleen
authors: K
authors: Delgrosso
authors: Paolo
authors: P
authors: Fortina
authors: Paul F
authors: PF
authors: Bray
authors: Steven E
authors: SE
authors: McKenzie
authors: Computational Medicine Center, Thomas Jefferson University, Philadelphia, PA 19107, USA. Isidore.Rigoutsos@jefferson.edu.
authors: Isidore
authors: I
authors: Rigoutsos
mesh_terms: D000328:Adult; D001792:Blood Platelets / Q000378:metabolism*; D006801:Humans; D008297:Male; D020411:Oligonucleotide Array Sequence Analysis; D016133:Polymerase Chain Reaction; D020543:Proteome / Q000032:analysis*; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D017423:Sequence Analysis, RNA; D059467:Transcriptome; D055815:Young Adult
chemical_list: D020543:Proteome; D012333:RNA, Messenger