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

Files in This Item:
2 files
File Description SizeFormat 
openpublished/QuantitativeFarrowAndronicosMcDonaldHamlin2021JournalArticle.pdfPublished version2.71 MBAdobe PDF
Download Adobe
View/Open
Show full item record

SCOPUSTM   
Citations

4
checked on Dec 14, 2024

Page view(s)

1,312
checked on Mar 7, 2023

Download(s)

30
checked on Mar 7, 2023
Google Media

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons