Improved method for computing potential doubling time from flow cytometric data
Open Access
- 1 January 1990
- Vol. 11 (2), 314-317
- https://doi.org/10.1002/cyto.990110214
Abstract
Relative movement methods use the timed progression of the mean fluorescence of cells which have heen labeled with monoclonal antibodies against bromodeoxyuridine and displayed with bivariate flow cytometry according to DNA and label content to compute duration of DNA synthesis, Ts. The relative movement is the difference of the mean DNA fluorescence of the labeled undivided cells from the G1 channel relative to the difference between the G1 and G2M channels. In this communication, we show how to extend this method to compute the potential doubling time, Tpot, the time required for a population of cells to double, given quiescent cells but no cell loss. A quantity vis introduced that is a function of the fraction of labeled divided cells and the fraction of labeled undivided cells. We show that v is independent of time and is equal to In(2)T8/Tpot so that Tpot (equal to In(2)T8/v) can be directly found from the information available in computing the relative movement. The method is applied to Chinese hamster ovary cells to demonstrate its utility.Keywords
This publication has 7 references indexed in Scilit:
- CELL-KINETICS IN HUMAN MALIGNANCIES STUDIED WITH INVIVO ADMINISTRATION OF BROMODEOXYURIDINE AND FLOW-CYTOMETRY1988
- Human tumour cell kinetics using a monoclonal antibody against iododeoxyuridine: Intratumour sampling variationsRadiotherapy and Oncology, 1988
- An improved method for the immunocytochemical detection of bromodeoxyuridine labeled nuclei using flow cytometryCytometry, 1987
- A comment on “A method to measure the duration of DNA synthesis and the potential doubling time from a single sample”Cytometry, 1986
- A method to measure the duration of DNA syntheses and the potential doubling time from a single sampleCytometry, 1985
- Flow cytometric measurement of total DNA content and incorporated bromodeoxyuridine.Proceedings of the National Academy of Sciences, 1983
- An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of the Society for Industrial and Applied Mathematics, 1963