Measuring the complexity of cell cycle arrest and killing of drugs: kinetics of phase-specific effects induced by taxol.

BACKGROUND: Paclitaxel (Taxol) is known to act mainly in mitosis, interfering with microtubule dynamics, but effects on the other cells cycle phases have been reported also. However, a comparative picture of perturbation and killing in the G(1), S and G(2)M phases after drug treatment is lacking. The approach developed by our group tackles the problem of the complexity of cell cycle effects with the aid of a computer program simulating cell cycle progression and new quantities measuring cell-cycle arrest and death. METHODS: The program generates data that were compared with those given by absolute cell counts and by different flow cytometry techniques, enabling us to follow the fate of G(1) and G(2)M blocked cells either re-entering the cycle or dying, distinguishing cytostatic and cytotoxic effects. Apoptosis was analyzed in order to refine the description of cytotoxic effects. RESULTS: We estimated the number of blocked and dead cells after short-term Taxol treatments in a range of concentrations and post-drug incubation times. G(2)M block was immediately active at low concentrations but was reversible, becoming irreversible only at the highest concentrations. G(1)block became active later, allowing cell cycle progression of cells initially in G(1), but was still active 48 h post-treatment, at intermediate concentrations. S-phase delay was detected after 24 h. The death rate was much higher within G(1)than G(2)M blocked cells. CONCLUSIONS: Our analysis unraveled the complexity of cell cycle effects of the drug, and revealed the activity of G(1) checkpoint, hidden by a prompter but less cytotoxic G(2)M block.

Dose estimate of exposure to radioisotopes in molecular and cellular biology.

A method for prospectively evaluating the annual equivalent doses and effective dose to biomedical researchers working with unsealed radioisotopes, and their classification, is presented here. Simplified formulae relate occupational data to a reasonable overestimate of the annual effective dose, and the equivalent doses to the hands and to the skin. The procedure, up to the classification of personnel and laboratories, can be made fully automatic, using a common spreadsheet on a personal computer. The method is based on occupational data, accounting for the amounts of each radioisotope used by a researcher, the time of exposure and the overall amounts employed in the laboratories where experiments are performed. The former data serve to forecast a contribution to the dose arising from a researcher's own work, the latter to a forecast of an 'environmental' contribution deriving simply from the presence in a laboratory where other people are working with radioisotopes. The estimates of the doses due to one's own radioisotope handling and to 'environment' were corrected for accidental exposure, considered as a linear function of the manipulated activity or of the time spent in the laboratories respectively, and summed up to give the effective dose. The effective dose associated with some common experiments in molecular and cellular biology is pre-evaluated by this method.