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), 63-69. (doi:10.1098/rsif.2005.0080). (PMID:16849218).


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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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1098/rsif.2005.0080
ISSNs: 1742-5689 (print)
Keywords: mathematical analysis, mesenchymal population, adhesion, image cytometry, tissue engineering
Subjects: Q Science > QA Mathematics
Q Science > QH Natural history > QH301 Biology
Divisions : University Structure - Pre August 2011 > School of Mathematics > Applied Mathematics
University Structure - Pre August 2011 > School of Mathematics > Statistics
University Structure - Pre August 2011 > School of Medicine
ePrint ID: 29272
Accepted Date and Publication Date:
22 February 2006Published
Date Deposited: 11 May 2006
Last Modified: 31 Mar 2016 11:54
Mathematical modelling of growth characteristics in hierarchically structured tissue-engineered populations
Funded by: EPSRC (EP/C003497/1)
4 April 2005 to 3 April 2008
URI: http://eprints.soton.ac.uk/id/eprint/29272

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