Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/117022
Title: A flow cytometry-based examination of the mouse white blood cell differential in the context of age and sex
Author(s): Arlt, Elise
Kindermann, Andrea
Fritsche, Anne-Kristin
Santos, Alexander Navarrete
Kielstein, Heike
Bazwinsky-Wutschke, Ivonne
Issue Date: 2024
Type: Article
Language: English
Abstract: Analysis of the white blood cell differential as part of a flow cytometry-based approach is a common routine diagnostic tool used in clinics and research. For human blood, the methodological approach, suitable markers, and gating strategies are well-established. However, there is a lack of information regarding the mouse blood count. In this article, we deliver a fast and easy protocol for reprocessing mouse blood for the purpose of flow cytometric analysis, as well as suitable markers and gating strategies. We also present two possible applications: for the analysis of the whole blood count, with blood from a cardiac puncture, and for the analysis of a certain leukocyte subset at multiple time points in the framework of a mouse experiment, using blood from the facial vein. Additionally, we provide orientation values by applying the method to 3-month-old and 24-month-old male and female C57BL/6J mice. Our analyses demonstrate differences in the leukocyte fractions depending on age and sex. We discuss the influencing factors and limitations that can affect the results and that, therefore, need to be considered when applying this method. The present study fills the gap in the knowledge related to the rare information on flow cytometric analysis of mouse blood and, thus, lays the foundation for further investigations in this area.
URI: https://opendata.uni-halle.de//handle/1981185920/118982
http://dx.doi.org/10.25673/117022
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Cells
Publisher: MDPI
Publisher Place: Basel
Volume: 13
Issue: 18
Original Publication: 10.3390/cells13181583
Appears in Collections:Open Access Publikationen der MLU

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