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A non-invasive method for in situ quantification of subpopulation behaviour in mixed cell culture

MacArthur, B.D., Tare, R.S., Please, C.P., Prescott, P. and Oreffo, R.C. (2006) A non-invasive method for in situ quantification of subpopulation behaviour in mixed cell culture Journal of the Royal Society Interface, 3, (6), pp. 63-69. (doi:10.1098/rsif.2005.0080). (PMID:16849218).

Record type: Article


Ongoing advances in quantitative molecular- and cellular-biology highlight the need for correspondingly quantitative methods in tissue-biology, in which the presence and activity of specific cell-subpopulations can be assessed in situ. However, many experimental techniques disturb the natural tissue balance, making it difficult to draw realistic conclusions concerning in situ cell behaviour. In this study, we present a widely applicable and minimally invasive method which combines fluorescence cell labelling, retrospective image analysis and mathematical data processing to detect the presence and activity of cell subpopulations, using adhesion patterns in STRO-1 immunoselected human mesenchymal populations and the homogeneous osteoblast-like MG63 continuous cell line as an illustration.

Adhesion is considered on tissue culture plastic and fibronectin surfaces, using cell area as a readily obtainable and individual cell specific measure of spreading. The underlying statistical distributions of cell areas are investigated and mappings between distributions are examined using a combination of graphical and non-parametric statistical methods. We show that activity can be quantified in subpopulations as small as 1% by cell number, and outline behaviour of significant subpopulations in both STRO-1+/? fractions. This method has considerable potential to understand in situ cell behaviour and thus has wide applicability, for example in developmental biology and tissue engineering.

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More information

Published date: 22 February 2006
Keywords: mathematical analysis, mesenchymal population, adhesion, image cytometry, tissue engineering
Organisations: Statistics


Local EPrints ID: 29272
ISSN: 1742-5689
PURE UUID: 264b7473-4266-4621-a6a8-e559e87f1e1c
ORCID for R.S. Tare: ORCID iD
ORCID for R.C. Oreffo: ORCID iD

Catalogue record

Date deposited: 11 May 2006
Last modified: 17 Jul 2017 15:58

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