Phenotyping of human platelets in response to platelet agonists and inhibitors using multiparameter flow cytometry and unbiased high-dimensional analysis

Yates, D.M., Spurgeon, B.E.J., Cheah, L.T. et al. (3 more authors) (2025) 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 (RPTH), 9 (7). 103189. ISSN: 2475-0379

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Yates, D.M.
  • Spurgeon, B.E.J.
  • Cheah, L.T.
  • Robinson, J.I.
  • Morgan, A.W.
  • Naseem, K.M.
Copyright, Publisher and Additional Information:

© 2025 The Authors. Published by Elsevier Inc. on behalf of International Society on Thrombosis and Haemostasis. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords: flow cytometry; machine learning; platelets; platelet inhibitors; platelet activation
Dates:
  • Accepted: 20 August 2025
  • Published (online): 23 September 2025
  • Published: October 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM)
Funding Information:
Funder
Grant number
British Heart Foundation Accounts Payable - Gloria Sankey
FS/4yPhD/F/21/34153
British Heart Foundation Accounts Payable - Gloria Sankey
RG/F/22/110067
Date Deposited: 01 Sep 2025 08:15
Last Modified: 29 Oct 2025 14:41
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.rpth.2025.103189
Open Archives Initiative ID (OAI ID):

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