1972
DOI: 10.1111/j.1365-2184.1972.tb00355.x
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The Labelled Mitoses Curve and the Estimation of the Parameters of the Cell Cycle

Abstract: A method is described for fitting a 'fraction labelled mitoses' curve to a set of data points and for estimating the values of the best fitting parameters of the cell cycle. Estimates of the SE of the parameters are obtained. The method depends on the fact that when gamma distributions are used t o describe the durations of the phases ofthe cell cycle, the Laplace transform of a FLM curve can be described by simple analytic functions enabling a least squares fit to be made to a set of Laplace transforms of the… Show more

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Cited by 25 publications
(22 citation statements)
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“…For each area 100 mitotic figures were analysed and the proportion showing 3H labelling was determined. FLM curves were constructed, and the data were analysed using a modification of the method of Gilbert (1972).…”
Section: Methodsmentioning
confidence: 99%
“…For each area 100 mitotic figures were analysed and the proportion showing 3H labelling was determined. FLM curves were constructed, and the data were analysed using a modification of the method of Gilbert (1972).…”
Section: Methodsmentioning
confidence: 99%
“…P. SUNTER, 1). R. APPLETON, N. A. WRIGHT AND A. J. WXATSON str-ucted, and the data were analysed by the metlhod of Gilbert (1972). V;inocristinte stuidies. Eighteen animals which had received 24 w^eekly injections of DM1H w<ere given vincristine sulphate (Oncovin, Eli Lilly) by i.p.…”
Section: Methodsmentioning
confidence: 99%
“…The cell-cycle phase durations calculated from the curves fitted to the whole-crypt FLM data are shown in Table III Table III are the estimates of the coefficient of variation of Tc provided by the Gilbert (1972) programme, and estimates of the theoretical labelling indices. In the calculation of this latter parameter we have assumed a rectangular age distribution, and have compensated for the variability of Tc .…”
Section: Results and Interpretationmentioning
confidence: 99%