Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/35939
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dc.contributor.authorFlynn J.en
dc.contributor.authorGorry P.en
dc.date.accessioned2021-05-14T12:10:10Zen
dc.date.available2021-05-14T12:10:10Zen
dc.date.created20190907en
dc.date.issued2019en
dc.identifier.citationMethods in Molecular Biology. 2048 (pp 15-25), 2019. Date of Publication: 2019.en
dc.identifier.issn1064-3745en
dc.identifier.urihttps://repository.monashhealth.org/monashhealthjspui/handle/1/35939en
dc.description.abstractFlow cytometry is a powerful tool, which uses lasers to analyze a wide range of different characteristics of cells. It is commonly used to determine the expression of cell surface markers and intracellular molecules to define cells into different populations using cell size, granularity, and fluorescently labeled antibodies. Thus, flow cytometry enables simultaneous and mutliparameter analysis of single cells. During the staining procedure, a single cell suspension is created for staining with flow cytometry antibodies for analysis on the flow cytometer. The staining methods from this technique can be used for different cell types by changing the surface marker targeted by the flow antibody, provided all antibodies are titrated prior to use, and are chosen with knowledge of the density of surface molecule for detection and brightness of fluorochrome to guide antibody selection. This chapter's protocol has been designed specifically for detection of human CD4+ T cell subsets defining naive and memory subpopulations by surface marker phenotyping.Copyright © Springer Science+Business Media, LLC, part of Springer Nature 2019.en
dc.languageenen
dc.languageEnglishen
dc.publisherHumana Press Inc. (E-mail: humana@humanapr.com)en
dc.relation.ispartofMethods in Molecular Biologyen
dc.titleFlow Cytometry Analysis to Identify Human CD4+ T Cell Subsets.en
dc.typeChapteren
dc.typeChapter-
dc.identifier.doihttp://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-1-4939-9728-2_2en
dc.publisher.placeUnited Statesen
dc.identifier.pubmedid31396925 [http://www.ncbi.nlm.nih.gov/pubmed/?term=31396925]en
dc.identifier.source629122204en
dc.identifier.institution(Flynn) Rheumatology Research Group, Centre for Inflammatory Diseases, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia (Flynn, Gorry) School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia (Flynn) Burnet Institute, Melbourne, VIC, Australiaen
dc.description.addressJ. Flynn, Burnet Institute, Melbourne, VIC, Australia. E-mail: jacqueline.flynn@monash.eduen
dc.description.publicationstatusEmbaseen
dc.rights.statementCopyright 2019 Elsevier B.V., All rights reserved.en
dc.subect.keywordsCD markers CD4+ T cells Flow cytometry Memory T cells Naive T cells T cell subsetsen
dc.identifier.authoremailFlynn J.; jacqueline.flynn@monash.eduen
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeChapter-
item.openairetypeChapter-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
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