Incorporating the Hayflick Limit into a model of Telomere Dynamics

TL;DR

This paper introduces a telomere dynamics model that incorporates the Hayflick Limit, showing non-monotonic telomere length changes and better fitting biological data compared to previous models.

Contribution

It extends existing models by including the Hayflick Limit, revealing new behaviors in telomere length and cell population evolution, and improves data fit.

Findings

Non-monotonic telomere length over time.

Different evolution patterns for total cell populations.

Better fit to leukocyte baboon data.

Abstract

A model of telomere dynamics is proposed and examined. Our model, which extends a previously introduced two-compartment model that incorporates stem cells as progenitors of new cells, imposes the Hayflick Limit, the maximum number of cell divisions that are possible. This new model leads to cell populations for which the average telomere length is not necessarily a monotonically decreasing function of time, in contrast to previously published models. We provide a phase diagram indicating where such results would be expected. In addition, qualitatively different results are obtained for the evolution of the total cell population. Last, in comparison to available leukocyte baboon data, this new model is shown to provide a better fit to biological data.