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Updated: May 10, 2026

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Quantification of Microglial Engulfment of Synaptic Material Using Flow Cytometry
Published on: May 31, 2024
Quantification of microglial proliferation and apoptosis by flow cytometry
Alicia A Babcock1, Martin Wirenfeldt, Bente Finsen
1Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Methods in Molecular Biology (Clifton, N.J.)
|July 2, 2013
Summary
This study quantifies microglial cell proliferation and apoptosis in adult mice. These methods aid in understanding microglial turnover during neuroinflammation.
Area of Science:
- Neuroscience
- Immunology
- Cell Biology
Background:
- Microglia are the resident innate immune cells of the central nervous system (CNS).
- They originate from primitive yolk sac myeloid progenitors and colonize the CNS during development.
- Microglia possess a high proliferation capacity and can undergo apoptosis to regulate population size, maintaining low turnover in the normal CNS.
Purpose of the Study:
- To develop and present quantitative methods for analyzing microglial cell proliferation and apoptosis.
- To enable the distinction of microglia from perivascular and infiltrating macrophages.
- To provide tools for studying microglial dynamics in neuroinflammatory conditions.
Main Methods:
- Isolation of microglial cells from individual adult mice.
- Quantitative analysis using flow cytometry.
- Distinguishing microglia from other myeloid cells based on CD45 expression levels.
Main Results:
- Established flow cytometry protocols for precise quantification of microglial proliferation and apoptosis.
- Demonstrated the ability to differentiate microglia from macrophages using CD45 expression.
- Provided a method applicable to various neuroinflammation models.
Conclusions:
- The described flow cytometry methods offer a robust approach to analyze microglial turnover.
- These techniques are valuable for investigating the role of microglia in CNS homeostasis and disease.
- The study facilitates research into neuroinflammatory processes by quantifying microglial dynamics.
