ArticleResearch and practice in thrombosis and haemostasis2023
Preanalytical conditions for multiparameter platelet flow cytometry.
Article in Research and practice in thrombosis and haemostasis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Tumor-educated platelets in cancer diagnostics and prognostics: A critical appraisal and roadmap for clinical translation.International journal of cancer · 2026Review
- A Multi-Omics and machine learning platelet-related prognostic signature in multiple myeloma.Annals of hematology · 2026Article
- Phenotyping of human platelets in response to platelet agonists and inhibitors using multiparameter flow cytometry and unbiased high-dimensional analysis.Research and practice in thrombosis and haemostasis · 2025Article
- Human platelets support Semliki Forest virus replication.BMC research notes · 2025Article
- Review
- Insulin resistance in type 1 diabetes is a key modulator of platelet hyperreactivity.Diabetologia · 2025Article
- Development of a Spectral Flow Cytometry Analysis Pipeline for High-dimensional Immune Cell Characterization.Journal of immunology (Baltimore, Md. : 1950) · 2024Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Flow cytometry is an important technique for understanding multiple aspects of blood platelet biology. Despite the widespread use of the platform for assessing platelet function, the optimization and careful consideration of preanalytical conditions, sample processing techniques, and data analysis strategies should be regularly assessed. When set up and designed with optimal conditions, it can ensure the acquisition of robust and reproducible flow cytometry data. However, these parameters are rarely described despite their importance. Objectives: We aimed to characterize the effects of several preanalytical variables on the analysis of blood platelets by multiparameter fluorescent flow cytometry. Methods: We assessed anticoagulant choice, sample material, sample processing, and storage times on 4 distinct and commonly used markers of platelet activation, including fibrinogen binding, expression of CD62P and CD42b, and phosphatidylserine exposure. Results: The use of suboptimal conditions led to increases in basal platelet activity and reduced sensitivities to stimulation; however, the use of optimal conditions protected the platelets from artifactual stimulation and preserved basal activity and sensitivity to activation. Conclusion: The optimal preanalytical conditions identified here for the measurement of platelet phenotype by flow cytometry suggest a framework for future development of multiparameter platelet assays for high-quality data sets and advanced analysis.
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