Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30373
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dc.contributor.authorFarrow, L Fen
dc.contributor.authorAndronicos, N Men
dc.contributor.authorMcDonald, P Gen
dc.contributor.authorHamlin, A Sen
dc.date.accessioned2021-04-07T05:24:47Z-
dc.date.available2021-04-07T05:24:47Z-
dc.date.issued2021-03-15-
dc.identifier.citationJournal of Neuroscience Methods, v.352, p. 1-7en
dc.identifier.issn1872-678Xen
dc.identifier.issn0165-0270en
dc.identifier.urihttps://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.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofJournal of Neuroscience Methodsen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleQuantitative determination of neuronal size and density using flow cytometryen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.jneumeth.2021.109081en
dc.identifier.pmid33484745en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameL Fen
local.contributor.firstnameN Men
local.contributor.firstnameP Gen
local.contributor.firstnameA Sen
local.subject.for2008060805 Animal Neurobiologyen
local.subject.for2008060807 Animal Structure and Functionen
local.subject.for2008060112 Structural Biology (incl. Macromolecular Modelling)en
local.subject.seo2008970106 Expanding Knowledge in the Biological Sciencesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Science and Technologyen
local.profile.emaillfarrow3@une.edu.auen
local.profile.emailnandroni@une.edu.auen
local.profile.emailpmcdon21@une.edu.auen
local.profile.emailahamlin@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeNetherlandsen
local.identifier.runningnumber109081en
local.format.startpage1en
local.format.endpage7en
local.identifier.scopusid85100056804en
local.peerreviewedYesen
local.identifier.volume352en
local.access.fulltextYesen
local.contributor.lastnameFarrowen
local.contributor.lastnameAndronicosen
local.contributor.lastnameMcDonalden
local.contributor.lastnameHamlinen
dc.identifier.staffune-id:lfarrow3en
dc.identifier.staffune-id:nandronien
dc.identifier.staffune-id:pmcdon21en
dc.identifier.staffune-id:ahamlinen
local.profile.orcid0000-0001-5881-2296en
local.profile.orcid0000-0002-9541-3304en
local.profile.orcid0000-0003-0495-1973en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/30373en
local.date.onlineversion2021-01-20-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleQuantitative determination of neuronal size and density using flow cytometryen
local.relation.fundingsourcenoteThis 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.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorFarrow, L Fen
local.search.authorAndronicos, N Men
local.search.authorMcDonald, P Gen
local.search.authorHamlin, A Sen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/641ac15c-bb97-4b6c-b459-53769e3ab20fen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000632485100001en
local.year.available2021en
local.year.published2021en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/641ac15c-bb97-4b6c-b459-53769e3ab20fen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/641ac15c-bb97-4b6c-b459-53769e3ab20fen
local.subject.for2020310906 Animal neurobiologyen
local.subject.for2020320903 Central nervous systemen
local.subject.for2020310911 Animal structure and functionen
local.subject.seo2020280102 Expanding knowledge in the biological sciencesen
local.codeupdate.date2021-10-26T15:45:17.443en
local.codeupdate.epersonahamlin@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.for2020310911 Animal structure and functionen
local.original.for2020310112 Structural biology (incl. macromolecular modelling)en
local.original.for2020310906 Animal neurobiologyen
local.original.seo2020280102 Expanding knowledge in the biological sciencesen
Appears in Collections:Journal Article
School of Environmental and Rural Science
School of Science and Technology
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