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https://hdl.handle.net/1959.11/30373
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Farrow, L F | en |
dc.contributor.author | Andronicos, N M | en |
dc.contributor.author | McDonald, P G | en |
dc.contributor.author | Hamlin, A S | en |
dc.date.accessioned | 2021-04-07T05:24:47Z | - |
dc.date.available | 2021-04-07T05:24:47Z | - |
dc.date.issued | 2021-03-15 | - |
dc.identifier.citation | Journal of Neuroscience Methods, v.352, p. 1-7 | en |
dc.identifier.issn | 1872-678X | en |
dc.identifier.issn | 0165-0270 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/30373 | - |
dc.description.abstract | <i>Background:</i> 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.<br/> <i>New method:</i> 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.<br/> <i>Comparison with existing methods:</i> The results obtained were comparable to those identified using stereological counting methods.<br/> <i>Results:</i> 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.<br/> <i>Conclusion:</i> 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. | en |
dc.language | en | en |
dc.publisher | Elsevier BV | en |
dc.relation.ispartof | Journal of Neuroscience Methods | en |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Quantitative determination of neuronal size and density using flow cytometry | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1016/j.jneumeth.2021.109081 | en |
dc.identifier.pmid | 33484745 | en |
dcterms.accessRights | UNE Green | en |
local.contributor.firstname | L F | en |
local.contributor.firstname | N M | en |
local.contributor.firstname | P G | en |
local.contributor.firstname | A S | en |
local.subject.for2008 | 060805 Animal Neurobiology | en |
local.subject.for2008 | 060807 Animal Structure and Function | en |
local.subject.for2008 | 060112 Structural Biology (incl. Macromolecular Modelling) | en |
local.subject.seo2008 | 970106 Expanding Knowledge in the Biological Sciences | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | lfarrow3@une.edu.au | en |
local.profile.email | nandroni@une.edu.au | en |
local.profile.email | pmcdon21@une.edu.au | en |
local.profile.email | ahamlin@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | Netherlands | en |
local.identifier.runningnumber | 109081 | en |
local.format.startpage | 1 | en |
local.format.endpage | 7 | en |
local.identifier.scopusid | 85100056804 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 352 | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Farrow | en |
local.contributor.lastname | Andronicos | en |
local.contributor.lastname | McDonald | en |
local.contributor.lastname | Hamlin | en |
dc.identifier.staff | une-id:lfarrow3 | en |
dc.identifier.staff | une-id:nandroni | en |
dc.identifier.staff | une-id:pmcdon21 | en |
dc.identifier.staff | une-id:ahamlin | en |
local.profile.orcid | 0000-0001-5881-2296 | en |
local.profile.orcid | 0000-0002-9541-3304 | en |
local.profile.orcid | 0000-0003-0495-1973 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/30373 | en |
local.date.onlineversion | 2021-01-20 | - |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Quantitative determination of neuronal size and density using flow cytometry | en |
local.relation.fundingsourcenote | This project was funded partially by the Holsworth Wildlife Research Endowment – Equity Trustees Charitable Foundation & the Ecological Society of Australia (Awarded to LF) and internal PhD research funding from the University of New England (to LF). | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Farrow, L F | en |
local.search.author | Andronicos, N M | en |
local.search.author | McDonald, P G | en |
local.search.author | Hamlin, A S | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/641ac15c-bb97-4b6c-b459-53769e3ab20f | en |
local.uneassociation | Yes | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.identifier.wosid | 000632485100001 | en |
local.year.available | 2021 | en |
local.year.published | 2021 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/641ac15c-bb97-4b6c-b459-53769e3ab20f | en |
local.fileurl.openpublished | https://rune.une.edu.au/web/retrieve/641ac15c-bb97-4b6c-b459-53769e3ab20f | en |
local.subject.for2020 | 310906 Animal neurobiology | en |
local.subject.for2020 | 320903 Central nervous system | en |
local.subject.for2020 | 310911 Animal structure and function | en |
local.subject.seo2020 | 280102 Expanding knowledge in the biological sciences | en |
local.codeupdate.date | 2021-10-26T15:45:17.443 | en |
local.codeupdate.eperson | ahamlin@une.edu.au | en |
local.codeupdate.finalised | true | en |
local.original.for2020 | 310911 Animal structure and function | en |
local.original.for2020 | 310112 Structural biology (incl. macromolecular modelling) | en |
local.original.for2020 | 310906 Animal neurobiology | en |
local.original.seo2020 | 280102 Expanding knowledge in the biological sciences | en |
Appears in Collections: | Journal Article School of Environmental and Rural Science School of Science and Technology |
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openpublished/QuantitativeFarrowAndronicosMcDonaldHamlin2021JournalArticle.pdf | Published version | 2.71 MB | Adobe PDF Download Adobe | View/Open |
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