Skip to Main content Skip to Navigation
Journal articles

Flow cytometry for receptor analysis from ex-vivo brain tissue in adult rat

Abstract : BACKGROUND: Flow cytometry allows single-cell analysis of peripheral biological samples and is useful in many fields of research and clinical applications, mainly in hematology, immunology, and oncology. In the neurosciences, the flow cytometry separation method was first applied to stem cell extraction from healthy or cerebral tumour tissue and was more recently tested in order to phenotype brain cells, hippocampal neurogenesis, and to detect prion proteins. However, it remains sparsely applied in quantifying membrane receptors in relation to synaptic plasticity. NEW METHOD: We aimed to optimize a flow cytometric procedure for receptor quantification in neurons and non-neurons. A neural dissociation process, myelin separation, fixation, and membrane permeability procedures were optimized to maximize cell survival and analysis in hippocampal tissue obtained from adult rodents. We then aimed to quantify membrane muscarinic acetylcholine receptors (mAChRs) in rats with and without bilateral vestibular loss (BVL). RESULTS: mAChR's were quantified for neuronal and non-neuronal cells in the hippocampus and striatum following BVL. At day 30 but not at day 7 following BVL, there was a significant increase (P ≤ 0.05) in the percentage of neurons expressing M2/4 mAChRs in both the hippocampus and the striatum. CONCLUSION: Here, we showed that flow cytometry appears to be a reliable method of membrane receptor quantification in ex-vivo brain tissue.
Document type :
Journal articles
Complete list of metadata
Contributor : Myriam Bodescot Connect in order to contact the contributor
Submitted on : Wednesday, April 10, 2019 - 2:44:23 PM
Last modification on : Friday, March 11, 2022 - 6:14:02 PM



Alice Benoit, Marilyne Guillamin, Phillip Aitken, Paul F Smith, Bruno Philoxene, et al.. Flow cytometry for receptor analysis from ex-vivo brain tissue in adult rat. Journal of Neuroscience Methods, Elsevier, 2018, 304, pp.11-23. ⟨10.1016/j.jneumeth.2018.04.005⟩. ⟨inserm-02095510⟩



Record views