Evidence map›Paper›PMID 26367242›Full record

ArticlePlatelets2016

Characterization of the platelet transcriptome by RNA sequencing in patients with acute myocardial infarction.

John D Eicher, Yoshiyuki Wakabayashi, Olga Vitseva, Nada Esa, Yanqin Yang, Jun Zhu, Jane E Freedman, David D McManus, Andrew D Johnson

Open access · greenAbstract read
In one paragraph

Article in Platelets, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Single-cell RNA sequencing of platelets: challenges and potential.Journal of thrombosis and thrombolysis · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Looking Under the Hood at the Cytoskeletal Engine of Platelet Production.Arteriosclerosis, thrombosis, and vascular biology · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Review
  18. Review
  19. Article
  20. Non-coding RNA research · 2024
    Review

26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

John D Eichera The Framingham Heart Study , Framingham , MA , USA .
Yoshiyuki Wakabayashic National Heart, Lung, and Blood Institute, Division of Intramural Research, DNA Sequencing and Genomics Core Laboratory , Bethesda , MD , USA .
Olga Vitsevad Department of Medicine, Division of Cardiovascular Medicine , University of Massachusetts Medical School , Worcester , MA , USA , and.
Nada Esae Memorial Heart and Vascular Center, University of Massachusetts , Worcester , MA , USA.
Yanqin Yangc National Heart, Lung, and Blood Institute, Division of Intramural Research, DNA Sequencing and Genomics Core Laboratory , Bethesda , MD , USA .
Jun Zhuc National Heart, Lung, and Blood Institute, Division of Intramural Research, DNA Sequencing and Genomics Core Laboratory , Bethesda , MD , USA .
Jane E Freedmane Memorial Heart and Vascular Center, University of Massachusetts , Worcester , MA , USA.
David D McManuse Memorial Heart and Vascular Center, University of Massachusetts , Worcester , MA , USA.
Andrew D Johnsona The Framingham Heart Study , Framingham , MA , USA .
National Heart Lung and Blood Institute · USFramingham Heart Study · USNational Heart, Lung, and Blood Institute Division of Intramural ResearchNaval Research Laboratory Information Technology DivisionUniversity of Massachusetts Chan Medical School · US

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
Cardiovascular Genomics and Bioinformatics projectsZIAHL006170 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI JOHNSON, ANDREW · 2013 to 2025
$25.3M
DNA Sequencing Core (DSC)ZICHL006058 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHU, JUN · 2010 to 2016
$16.6M
TRACE-COREU01HL105268 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2010 to 2013
$5.8M
University of Massachusetts Center for Clinical and Translational ScienceKL2RR031981 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$1.2M
RNA systems biologyZIAHL006230 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHU, JUN · 2017 to 2018
$1.0M
Intramural NIH HHS Z99 HL999999Intramural NIH HHS ZIA HL006170NCATS NIH HHS UL1 TR001453NCRR NIH HHS KL2 RR031981NCRR NIH HHS KL2RR031981NHLBI NIH HHS 1U01HL105268-01NHLBI NIH HHS RFA-HL-12-008NHLBI NIH HHS U01 HL105268
6 · The paper itself

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.

Indexed as

Gene Expression RegulationTranscriptomeAgedAged, 80 and overBlood PlateletsElectrocardiographyFemaleGene Expression ProfilingHumansMaleMiddle AgedMyocardial InfarctionPlatelet ActivationPlatelet AggregationPlatelet Function TestsRisk FactorsGene expressionmyocardial infarctionplatelet aggregationRNA-seq

Identifiers

PMID26367242
PMCPMC4933502
OpenAlexW2335453170

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.