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Simultaneous flow cytometric characterization of multiple cell types retrieved from mouse brain/spinal cord through different homogenization methods

Articolo
Data di Pubblicazione:
2019
Abstract:
Recent advances in viral vector and nanomaterial sciences have opened the way for new cutting-edge approaches to investigate or manipulate the central nervous system (CNS). However, further optimization of these technologies would benefit from methods allowing rapid and streamline determination of the extent of CNS and cell-specific targeting upon administration of viral vectors or nanoparticles in the body. Here, we present a protocol that takes advantage of the high throughput and multiplexing capabilities of flow cytometry to allow a straightforward quantification of different cell subtypes isolated from mouse brain or spinal cord, namely microglia/macrophages, lymphocytes, astrocytes, oligodendrocytes, neurons and endothelial cells. We apply this approach to highlight critical differences between two tissue homogenization methods in terms of cell yield, viability and composition. This could instruct the user to choose the best method depending on the cell type(s) of interest and the specific application. This method is not suited for analysis of anatomical distribution, since the tissue is homogenized to generate a single-cell suspension. However, it allows to work with viable cells and it can be combined with cell-sorting, opening the way for several applications that could expand the repertoire of tools in the hands of the neuroscientist, ranging from establishment of primary cultures derived from pure cell populations, to gene-expression analyses and biochemical or functional assays on well-defined cell subtypes in the context of neurodegenerative diseases, upon pharmacological treatment or gene therapy.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Astrocytes; Endothelium; Flow cytometry; Issue 153; Medicine; Microglia; Mouse brain; Mouse spinal cord; Neurons; Oligodendrocytes; Tissue homogenization
Elenco autori:
Estevez, F. J. M.; Mathews, T. D.; Biffi, A.; Peviani, M.
Autori di Ateneo:
PEVIANI MARCO
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1341571
Pubblicato in:
JOURNAL OF VISUALIZED EXPERIMENTS
Journal
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