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Biomedical subjects

E O Voit

Publications and source records attributed to E O Voit.

21 records · Page 2Linked to original sources

Cell cycles and growth laws: the CCC model.

In the cell-cycle-with-control model (CCC model), cells have to satisfy a condition before they are allowed to pass a control point during G1. Different cycle durations within a cell population are explained by individual time spans needed to satisfy the passing condition. If the distribution of cycle durations is time invariant, the population will grow exponentially. However, if the average cycle duration becomes longer, while the population grows, non-exponential population growth results. Simple functions for the lengthening of the average cycle duration, like linear or exponential ones, yield the well-known growth laws found in the biological literature. The same functions can be represented by an "S-system" differential equation that was derived earlier as an approximation for biochemical systems with many fast reactions (metabolism) and one slow process (e.g. ageing).

Cell Cycle↗

Derivation of the frequency distributions of cycle durations from continuous labeling curves.

In cell populations that are continuously exposed to radioactive thymidine over a long period, all proliferating cells become labeled as they pass through their DNA-replicating phase. The continuous labeling curve (CLC) shows the percentage of labeled cells versus time. Expected CLCs are calculated for cell populations with arbitrary frequency distributions of cycle durations. By optimizing the parameter values of a general probability function in the formula for CLC, frequency distributions of cycle durations are estimated from experimental CLCs. The analysis of several fetal rat tissues shows that the cycle durations vary over quite a wide range within the same tissue.

Animals↗

Encounters in predator-prey systems: a simple discrete model.

Predator-prey systems are often described by exploitation models. These models can mimic experimental data very accurately, but it is sometimes difficult to realize the relationships between the models and the behavior of individual predator and prey animals. A simple discrete model is proposed here that tries to elucidate the connections between: the animals' movements, the predator/prey encounters; and the dynamics in the system as globally represented by the exploitation models. In these models, the term "area of discovery" plays an essential role. This term is shown to be a predictable coefficient that is composed of measurable physical properties of the analyzed predator-prey system. The model takes into account that predators and prey in experimental systems often do not search randomly but prefer some parts of the test area. The model is applied to the mite system Phytoseiulus persimilis/Tetranychus urticae under simple artificial conditions.

Animals↗