Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/93808
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dc.contributor.authorHo, V.-
dc.contributor.authorYeo, S.-
dc.contributor.authorKunasegaran, K.-
dc.contributor.authorDe Silva, D.-
dc.contributor.authorTarulli, G.-
dc.contributor.authorVoorhoeve, P.-
dc.contributor.authorPietersen, A.-
dc.date.issued2013-
dc.identifier.citationBioTechniques: the journal of laboratory technology for bioresearch, 2013; 54(4):208-211-
dc.identifier.issn0736-6205-
dc.identifier.issn1940-9818-
dc.identifier.urihttp://hdl.handle.net/2440/93808-
dc.description.abstractSince tissues and tumors are heterogenous populations containing different cell types, their transcriptomes are blends of multiple mRNA expression profiles. Although fluorescence-activated cell sorting (FACS) allows isolation of individual cell types, RNA isolation and quantification remain problematic from rare subsets, such as tissue stem cells. Likewise, identification of transcriptional changes relevant to the tumorigenic potential of mammalian cells while they are actively growing as colonies in soft agar is also hampered by limited amounts of starting material. Here we describe a convenient method that fills the gap between single cell and whole tissue mRNA analysis, enabling mRNA quantification for individual colonies picked from soft agar. Our method involves direct lysis, reverse transcription and quantitative PCR (RT-qPCR) on 500 sorted cells or a single soft agar colony, thus allowing evaluation of up to 20 transcripts in functionally distinct subpopulations without the need for RNA isolation or amplification.-
dc.description.statementofresponsibilityVictor Ho, Shi Yun Yeo, Kamini Kunasegaran, Duvini De Silva, Gerard A. Tarulli, P. Mathijs Voorhoeve, and Alexandra M. Pietersen-
dc.language.isoen-
dc.publisherBioTechniques-
dc.rightsCopyright status unknown-
dc.source.urihttp://www.biotechniques.com/multimedia/archive/00212/BTN_A_000114019_O_212466a.pdf-
dc.subjectFlow Cytometry-
dc.titleExpression analysis of rare cellular subsets: direct RT-PCR on limited cell numbers obtained by FACS or soft agar assays-
dc.typeJournal article-
dc.identifier.doi10.2144/000114019-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 7
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