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Accurate Enumeration of Apoptotic Cancer Cells Using Flow Cytometry
Department of Medicine, University of Alcalá, Madrid, Spain.
Linköping University, Department of Biomedical and Clinical Sciences, Division of Children's and Women's Health. Linköping University, Faculty of Medicine and Health Sciences.
Department of Medicine, University of Alcalá, Madrid, Spain.
Department of Medicine, University of Alcalá, Madrid, Spain.
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2022 (English)In: Apoptosis and Cancer: Methods and Protocols / [ed] Hugo Barcenilla, David Diaz, New York, NY: Springer US , 2022, p. 35-44Chapter in book (Other academic)
Abstract [en]

The frequency of apoptotic cells in a given phenotypically defined population is usually calculated the apoptotic index (AI), i.e., the percentage of apoptotic cells displaying a specific linage antigen (LAg) within a population of cells that remain unfragmented and retain the expression of the LAg. However, this approach has two major limitations. Firstly, apoptotic cells fragment into apoptotic bodies that later disintegrate. Secondly, apoptotic cells frequently lose, partially or even completely, the cell surface expression of the LAg used for the identification of specific cell subsets. The present chapter will describe a flow cytometry method to calculate the apoptotic rate (AR) that takes into account both cell fragmentation and loss of lineage antigen expression on measurement of apoptosis using flow cytometry ratiometric cell enumeration that emerges as a more accurate method of measurement of the occurrence of apoptosis in normal and tumoral cell cultures.

Place, publisher, year, edition, pages
New York, NY: Springer US , 2022. p. 35-44
Series
Methods in molecular biology, ISSN 1064-3745, E-ISSN 1940-6029 ; 2543
Keywords [en]
Aptoptosis, Apoptotic rate, Apoptotic index, Cell enumeration, Accurate apoptosis measurement, Microbeads, Annexin V, Antigen loss, Cell fragmentation
National Category
Cell Biology
Identifiers
URN: urn:nbn:se:liu:diva-193503DOI: 10.1007/978-1-0716-2553-8_4Libris ID: vc540fgss0p812wlISBN: 9781071625521 (print)ISBN: 9781071625538 (electronic)OAI: oai:DiVA.org:liu-193503DiVA, id: diva2:1754186
Available from: 2023-05-02 Created: 2023-05-02 Last updated: 2023-08-17Bibliographically approved

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