ReviewInternational journal of molecular sciences2022
The Analysis of the Human Megakaryocyte and Platelet Coding Transcriptome in Healthy and Diseased Subjects.
Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed, 16 citations in OpenAlex.
- Whole genome duplication through mitotic slippage causes nuclear instability.The EMBO journal · 2026Article
- Review
- Platelets in systemic lupus erythematosus: from hemostatic allies to pathogenic drivers.Frontiers in immunology · 2026Review
- Platelet activation plays a pro-inflammatory role in myasthenia gravis.Nature communications · 2025Article
- Article
- Review
- Venous thrombosis and obesity: from clinical needs to therapeutic challenges.Internal and emergency medicine · 2025Review
- Inhibiting the P2YJACC. Basic to translational science · 2024Article
- Heterogeneity of platelets and their responses.Research and practice in thrombosis and haemostasis · 2024Article
- Sources of variability in the human platelet transcriptome.Thrombosis research · 2023Review
- Platelet proteo-transcriptomic profiling validates mediators of thrombosis and proteostasis in patients with myeloproliferative neoplasms.bioRxiv : the preprint server for biology · 2023Article
- Circulating SARS-CoV-2+ megakaryocytes are associated with severe viral infection in COVID-19.Blood advances · 2023Article
- The Novel Role of Noncoding RNAs in Modulating Platelet Function: Implications in Activation and Aggregation.International journal of molecular sciences · 2023Review
- Anagrelide: A Clinically Effective cAMP Phosphodiesterase 3A Inhibitor with Molecular Glue Properties.ACS medicinal chemistry letters · 2023Article
- Mechanisms of platelet activation in cancer-associated thrombosis: a focus on myeloproliferative neoplasms.Frontiers in cell and developmental biology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Platelets are generated and released into the bloodstream from their precursor cells, megakaryocytes that reside in the bone marrow. Though platelets have no nucleus or DNA, they contain a full transcriptome that, during platelet formation, is transported from the megakaryocyte to the platelet. It has been described that transcripts in platelets can be translated into proteins that influence platelet response. The platelet transcriptome is highly dynamic and has been extensively studied using microarrays and, more recently, RNA sequencing (RNA-seq) in relation to diverse conditions (inflammation, obesity, cancer, pathogens and others). In this review, we focus on bulk and single-cell RNA-seq studies that have aimed to characterize the coding transcriptome of healthy megakaryocytes and platelets in humans. It has been noted that bulk RNA-seq has limitations when studying in vitro-generated megakaryocyte cultures that are highly heterogeneous, while single-cell RNA-seq has not yet been applied to platelets due to their very limited RNA content. Next, we illustrate how these methods can be applied in the field of inherited platelet disorders for gene discovery and for unraveling novel disease mechanisms using RNA from platelets and megakaryocytes and rare disease bioinformatics. Next, future perspectives are discussed on how this field of coding transcriptomics can be integrated with other next-generation technologies to decipher unexplained inherited platelet disorders in a multiomics approach.
Indexed as
Identifiers
What Socratic 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 Socratic graph.