Characterization of the platelet transcriptome by RNA sequencing in patients with acute myocardial infarction. (2nd April 2016)

• Record Type: Journal Article
• Authors: Eicher, John D.; Wakabayashi, Yoshiyuki; Vitseva, Olga; Esa, Nada; Yang, Yanqin; Zhu, Jun; Freedman, Jane E.; McManus, David D.; Johnson, Andrew D.
• Is Part Of: Platelets. Volume 27:Number 3(2016)
• Page Start: 230
• Page End: 239
• Publication Date: 2016-04-02
• Subjects: Gene expression -- myocardial infarction -- platelet aggregation -- RNA-seq; Blood platelets -- Periodicals; Blood Platelets -- Periodicals; 615.39
• DOI: 10.3109/09537104.2015.1083543
• Languages: English
• ISSNs: 0953-7104

Abstract

Abstract: Transcripts in platelets are largely produced in precursor megakaryocytes but remain physiologically active as platelets translate RNAs and regulate protein/RNA levels. Recent studies using transcriptome sequencing (RNA-seq) characterized the platelet transcriptome in limited number of non-diseased individuals. Here, we expand upon these RNA-seq studies by completing RNA-seq in platelets from 32 patients with acute myocardial infarction (MI). Our goals were to characterize the platelet transcriptome using a population of patients with acute MI and relate gene expression to platelet aggregation measures and ST-segment elevation MI (STEMI) ( n = 16) vs. non-STEMI (NSTEMI) ( n = 16) subtypes. Similar to other studies, we detected 9565 expressed transcripts, including several known platelet-enriched markers (e.g. PPBP, OST4 ). Our RNA-seq data strongly correlated with independently ascertained platelet expression data and showed enrichment for platelet-related pathways (e.g. wound response, hemostasis, and platelet activation), as well as actin-related and post-transcriptional processes. Several transcripts displayed suggestively higher ( FBXL4, ECHDC3, KCNE1, TAOK2, AURKB, ERG, and FKBP5 ) and lower ( MIAT, PVRL3, and PZP ) expression in STEMI platelets compared to NSTEMI. We also identified transcripts correlated with platelet aggregation to TRAP ( ATP6V1G2, SLC2A3 ), collagen ( CEACAM1, ITGA2 ), and ADP ( PDGFB, PDGFC, ST3GAL6 ). Our study adds to current platelet gene expression resources by providing transcriptome-wide analyses in platelets isolated from patients with acute MI. In concert with prior studies, we identify various genes for further study in regards to platelet function and acute MI. Future platelet RNA-seq studies examining more diverse sets of healthy and diseased samples will add to our understanding of platelet thrombotic and non-thrombotic functions.