ArticleJournal of thrombosis and haemostasis : JTH2020
High-content, label-free analysis of proplatelet production from megakaryocytes.
Article in Journal of thrombosis and haemostasis : JTH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The trial behind it
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Platelet dysfunction in chronic kidney disease arises from bone marrow remodeling and megakaryocyte reprogramming.Blood advances · 2026Article
- Platelets and diseases: signal transduction and advances in targeted therapy.Signal transduction and targeted therapy · 2025Review
- Cell cycle-dependent centrosome clustering precedes proplatelet formation.Science advances · 2024Article
- Machine learning-based morphological quantification of replicative senescence in human fibroblasts.GeroScience · 2024Article
- Dynamic actin/septin network in megakaryocytes coordinates proplatelet elaboration.Haematologica · 2024Article
- Efficient megakaryopoiesis and platelet production require phospholipid remodeling and PUFA uptake through CD36.Nature cardiovascular research · 2023Article
- Proceedings of the immune thrombocytopenia summit: new concepts in mechanisms, diagnosis, and management.Research and practice in thrombosis and haemostasis · 2023Review
- Article
- Platelet Membrane: An Outstanding Factor in Cancer Metastasis.Membranes · 2022Review
- Sequence-specific 2'-O-methoxyethyl antisense oligonucleotides activate human platelets through glycoprotein VI, triggering formation of platelet-leukocyte aggregates.Haematologica · 2022Article
- In Vitro Measurements of Shear-Mediated Platelet Adhesion Kinematics as Analyzed through Machine Learning.Annals of biomedical engineering · 2021Article
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 1 country.
Funding
Abstract
backgroundThe mechanisms that regulate platelet biogenesis remain unclear; factors that trigger megakaryocytes (MKs) to initiate platelet production are poorly understood. Platelet formation begins with proplatelets, which are cellular extensions originating from the MK cell body.
objectivesProplatelet formation is an asynchronous and dynamic process that poses unique challenges for researchers to accurately capture and analyze. We have designed an open-source, high-content, high-throughput, label-free analysis platform.
methodsPhase-contrast images of live, primary MKs are captured over a 24-hour period. Pixel-based machine-learning classification done by ilastik generates probability maps of key cellular features (circular MKs and branching proplatelets), which are processed by a customized CellProfiler pipeline to identify and filter structures of interest based on morphology. A subsequent reinforcement classification, by CellProfiler Analyst, improves the detection of cellular structures.
resultsThis workflow yields the percent of proplatelet production, area, count of proplatelets and MKs, and other statistics including skeletonization information for measuring proplatelet branching and length. We propose using a combination of these analyzed metrics, in particular the area measurements of MKs and proplatelets, when assessing in vitro proplatelet production. Accuracy was validated against manually counted images and an existing algorithm. We then used the new platform to test compounds known to cause thrombocytopenia, including bromodomain inhibitors, and uncovered previously unrecognized effects of drugs on proplatelet formation, thus demonstrating the utility of our analysis platform.
conclusionThis advance in creating unbiased data analysis will increase the scale and scope of proplatelet production studies and potentially serve as a valuable resource for investigating molecular mechanisms of thrombocytopenia.
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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.