Literature DB >> 23303822

A novel flow cytometry-based platelet aggregation assay.

Iris M De Cuyper1, Marjolein Meinders, Edith van de Vijver, Dirk de Korte, Leendert Porcelijn, Masja de Haas, Johannes A Eble, Karl Seeger, Sergio Rutella, Daria Pagliara, Taco W Kuijpers, Arthur J Verhoeven, Timo K van den Berg, Laura Gutiérrez.   

Abstract

The main function of platelets is to maintain normal hemostasis. Inefficient platelet production and/or defective platelet function results in bleeding disorders resulting from a wide range of genetic traits and acquired pathologies. Several platelet function tests have been developed for use in the clinic and in experimental animal models. In particular, platelet aggregation is routinely measured in an aggregometer, which requires normal platelet counts and significant blood sample volumes. For this reason, the analysis of thrombocytopenic patients, infants, and animal models is problematic. We have developed a novel flow cytometry test of platelet aggregation, in which 10- to 25-fold lower platelet counts or sample volumes can be used, either of platelet-rich plasma or whole blood from human subjects or mice. This setup can be applied to test in small assay volumes the influence of a variety of stimuli, drugs, and plasma factors, such as antibodies, on platelet aggregation. The presented principle stands as a novel promising tool, which allows analysis of platelet aggregation in thrombocytopenic patients or infants, and facilitates studies in platelets obtained from experimental animal models without the need of special devices but a flow cytometer.

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Year:  2013        PMID: 23303822     DOI: 10.1182/blood-2012-06-437723

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  42 in total

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2.  Programmable 3D silk bone marrow niche for platelet generation ex vivo and modeling of megakaryopoiesis pathologies.

Authors:  Christian A Di Buduo; Lindsay S Wray; Lorenzo Tozzi; Alessandro Malara; Ying Chen; Chiara E Ghezzi; Daniel Smoot; Carla Sfara; Antonella Antonelli; Elise Spedden; Giovanna Bruni; Cristian Staii; Luigi De Marco; Mauro Magnani; David L Kaplan; Alessandra Balduini
Journal:  Blood       Date:  2015-01-09       Impact factor: 22.113

3.  C3G contributes to platelet activation and aggregation by regulating major signaling pathways.

Authors:  Cristina Fernández-Infante; Luis Hernández-Cano; Sara Gutiérrez-Herrero; Sara Ortiz-Rivero; Carlos Guijas; Víctor Martín-Granado; José Ramón González-Porras; Jesús Balsinde; Almudena Porras; Carmen Guerrero
Journal:  Signal Transduct Target Ther       Date:  2020-04-01

4.  Mouse RUNX1C regulates premegakaryocytic/erythroid output and maintains survival of megakaryocyte progenitors.

Authors:  Julia E Draper; Patrycja Sroczynska; Hui Sun Leong; Muhammad Z H Fadlullah; Crispin Miller; Valerie Kouskoff; Georges Lacaud
Journal:  Blood       Date:  2017-05-10       Impact factor: 22.113

5.  A characteristic flow cytometric pattern with broad forward scatter and narrowed side scatter helps diagnose immune thrombocytopenia (ITP).

Authors:  Raita Araki; Ryosei Nishimura; Rie Kuroda; Toshihiro Fujiki; Shintaro Mase; Kazuhiro Noguchi; Yasuhiro Ikawa; Hideaki Maeba; Akihiro Yachie
Journal:  Int J Hematol       Date:  2018-04-16       Impact factor: 2.490

6.  Assessment of neonatal platelet adhesion, activation, and aggregation.

Authors:  S M Baker-Groberg; S Lattimore; M Recht; O J T McCarty; K M Haley
Journal:  J Thromb Haemost       Date:  2016-03-16       Impact factor: 5.824

7.  NF-E2 p45 is important for establishing normal function of platelets.

Authors:  Rie Fujita; Mariko Takayama-Tsujimoto; Hironori Satoh; Laura Gutiérrez; Hiroyuki Aburatani; Satoshi Fujii; Akinori Sarai; Emery H Bresnick; Masayuki Yamamoto; Hozumi Motohashi
Journal:  Mol Cell Biol       Date:  2013-05-06       Impact factor: 4.272

8.  BMS-777607 promotes megakaryocytic differentiation and induces polyploidization in the CHRF-288-11 cells.

Authors:  Retno Wahyu Nurhayati; Yoshihiro Ojima; Masahito Taya
Journal:  Hum Cell       Date:  2014-10-11       Impact factor: 4.174

9.  A whole blood model of thrombocytopenia that controls platelet count and hematocrit.

Authors:  R S Bercovitz; M K Brenner; D K Newman
Journal:  Ann Hematol       Date:  2016-08-12       Impact factor: 3.673

10.  Characterization of multiple platelet activation pathways in patients with bleeding as a high-throughput screening option: use of 96-well Optimul assay.

Authors:  Marie Lordkipanidzé; Gillian C Lowe; Nicholas S Kirkby; Melissa V Chan; Martina H Lundberg; Neil V Morgan; Danai Bem; Shaista P Nisar; Vincenzo C Leo; Matthew L Jones; Stuart J Mundell; Martina E Daly; Andrew D Mumford; Timothy D Warner; Steve P Watson
Journal:  Blood       Date:  2014-01-09       Impact factor: 22.113

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