2008
DOI: 10.1103/physreve.78.060902
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Population mixture model for nonlinear telomere dynamics

Abstract: Telomeres are DNA repeats protecting chromosomal ends which shorten with each cell division, eventually leading to cessation of cell growth. We present a population mixture model that predicts an exponential decrease in telomere length with time. We analytically solve the dynamics of the telomere length distribution. The model provides an excellent fit to available telomere data and accounts for the previously unexplained observation of telomere elongation following stress and bone marrow transplantation, ther… Show more

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Cited by 7 publications
(19 citation statements)
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“…We find that fitting this same data with our Hayflick limit model leads to a small reduction (6%) in the mean square differences of the data and fitted functions relative to Ref. [14]. Other interesting biological information contained in these fits (rate constants in units of inverse weeks) are as follows.…”
Section: Application To Leukocyte Datamentioning
confidence: 84%
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“…We find that fitting this same data with our Hayflick limit model leads to a small reduction (6%) in the mean square differences of the data and fitted functions relative to Ref. [14]. Other interesting biological information contained in these fits (rate constants in units of inverse weeks) are as follows.…”
Section: Application To Leukocyte Datamentioning
confidence: 84%
“…[14]. In the former model one accounts for the presence of stem cells as being the progenitors of new cells with chromosomes having full-length telomeres, whereas in the latter model the replenishment via stem cells is not considered.…”
Section: Summary and Discussionmentioning
confidence: 98%
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