Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30373
Title: Quantitative determination of neuronal size and density using flow cytometry
Contributor(s): Farrow, L F  (author); Andronicos, N M  (author)orcid ; McDonald, P G  (author)orcid ; Hamlin, A S  (author)orcid 
Publication Date: 2021-03-15
Early Online Version: 2021-01-20
Open Access: Yes
DOI: 10.1016/j.jneumeth.2021.109081
Handle Link: https://hdl.handle.net/1959.11/30373
Abstract: Background: Recent anthropomorphic disturbances are occurring at an increasing rate leading to organisms facing a variety of challenges. This change is testing the information processing capacity (IPC) of all animals. Brain function is widely accepted to be influenced by a variety of factors, including relative size, number of neurons and neuronal densities. Therefore, in order to understand what drives an animals IPC, a methodological approach to analyze these factors must be established.
New method: Here we created a protocol that allowed for high-throughput, non-biased quantification of neuronal density and size across six regions of the brain. We used the Isotropic Fractionator method in combination with flow cytometry to identify neuronal and non-neuronal cells in the brains of adult rats.
Comparison with existing methods: The results obtained were comparable to those identified using stereological counting methods.
Results: By employing this new method, the number of nuclei in a specific brain region can be compared between replicate animals within an experiment. By calibrating the forward scatter channel of the flow cytometer with size standard beads, neuronal and non-neuronal nuclear sizes can be estimated simultaneously with nuclei enumeration. These techniques for nuclear counting and size estimation are technically and biologically reproducible.
Conclusion: Use of flow cytometry provides a methodological approach that allows for consistency in research, so that information on brain morphology, and subsequent function, will become comparable across taxa.
Publication Type: Journal Article
Source of Publication: Journal of Neuroscience Methods, v.352, p. 1-7
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 1872-678X
0165-0270
Fields of Research (FoR) 2008: 060805 Animal Neurobiology
060807 Animal Structure and Function
060112 Structural Biology (incl. Macromolecular Modelling)
Fields of Research (FoR) 2020: 310906 Animal neurobiology
320903 Central nervous system
310911 Animal structure and function
Socio-Economic Objective (SEO) 2008: 970106 Expanding Knowledge in the Biological Sciences
Socio-Economic Objective (SEO) 2020: 280102 Expanding knowledge in the biological sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science
School of Science and Technology

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