ArticleBiology direct2014
The human platelet: strong transcriptome correlations among individuals associate weakly with the platelet proteome.
Article in Biology direct, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.
- Genetic variants associated with platelet count are predictive of human disease and physiological markers.Communications biology · 2021Pooled it
- Platelets and inflammation-insights from platelet non-coding RNA content and release in the Bruneck study and the PACMAN-AMI trial.Cardiovascular research · 2025Trial
- Liquid biopsy: paving a new avenue for cancer research.Cell adhesion & migration · 2024Review
- Plasma growth factors maintain constitutive translation in platelets to regulate reactivity and thrombotic potential.Blood advances · 2024Article
- Alterations in the megakaryocyte transcriptome impacts platelet function in sepsis and COVID-19 infection.Thrombosis research · 2023Article
- Sources of variability in the human platelet transcriptome.Thrombosis research · 2023Review
- The Analysis of the Human Megakaryocyte and Platelet Coding Transcriptome in Healthy and Diseased Subjects.International journal of molecular sciences · 2022Review
- Platelets Purification Is a Crucial Step for Transcriptomic Analysis.International journal of molecular sciences · 2022Article
- Weaning differentially affects the maturation of piglet peripheral blood and jejunal Peyer's patches.Scientific reports · 2022Article
- Evaluation of serum proteome from Indian psoriasis patients.Bioinformation · 2022Article
- Platelet Microparticles Decrease Daunorubicin-Induced DNA Damage and Modulate Intrinsic Apoptosis in THP-1 Cells.International journal of molecular sciences · 2021Article
- Assessment of a complete and classified platelet proteome from genome-wide transcripts of human platelets and megakaryocytes covering platelet functions.Scientific reports · 2021Article
- Platelets and tumor-associated RNA transfer.Blood · 2021Review
- Multimodal analysis for humaniScience · 2021Article
- Transcriptional profile of platelets and iPSC-derived megakaryocytes from whole-genome and RNA sequencing.Blood · 2021Article
- Post-Transcriptional Expression Control in Platelet Biogenesis and Function.International journal of molecular sciences · 2020Review
- Article
- Platelets Fuel the Inflammasome Activation of Innate Immune Cells.Cell reports · 2020Article
- Article
- Impacts of Cancer on Platelet Production, Activation and Education and Mechanisms of Cancer-Associated Thrombosis.Cancers · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundFor 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.
resultsWe 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.
conclusionsThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.