Modelling cell lifespan and proliferation: is likelihood to die or to divide independent of age?

Dowling, Mark R., Milutinovic, Dejan and Hodgkin, Philip D. (2005) Modelling cell lifespan and proliferation: is likelihood to die or to divide independent of age?. Journal of The Royal Society Interface, 2 5: 517-526. doi:10.1098/rsif.2005.0069


Author Dowling, Mark R.
Milutinovic, Dejan
Hodgkin, Philip D.
Title Modelling cell lifespan and proliferation: is likelihood to die or to divide independent of age?
Journal name Journal of The Royal Society Interface   Check publisher's open access policy
ISSN 1742-5689
Publication date 2005
Sub-type Article (original research)
DOI 10.1098/rsif.2005.0069
Volume 2
Issue 5
Start page 517
End page 526
Total pages 10
Editor Trevor Stuart
William Bonfield
Place of publication United Kingdom
Publisher The Royal Society
Collection year 2005
Language eng
Subject C1
249999 Physical Sciences not elsewhere classified
780102 Physical sciences
Abstract In cell lifespan studies the exponential nature of cell survival curves is often interpreted as showing the rate of death is independent of the age of the cells within the population. Here we present an alternative model where cells that die are replaced and the age and lifespan of the population pool is monitored until a, steady state is reached. In our model newly generated individual cells are given a determined lifespan drawn from a number of known distributions including the lognormal, which is frequently found in nature. For lognormal lifespans the analytic steady-state survival curve obtained can be well-fit by a single or double exponential, depending on the mean and standard deviation. Thus, experimental evidence for exponential lifespans of one and/or two populations cannot be taken as definitive evidence for time and age independence of cell survival. A related model for a dividing population in steady state is also developed. We propose that the common adoption of age-independent, constant rates of change in biological modelling may be responsible for significant errors, both of interpretation and of mathematical deduction. We suggest that additional mathematical and experimental methods must be used to resolve the relationship between time and behavioural changes by cells that are predominantly unsynchronized.
Keyword Cell Lifespan: Cell Proliferation: Lymphocyte Half Lives: Lognormal
Multidisciplinary Sciences
Cell Lifespan
Cell Proliferation
Lymphocyte Half Lives
Lognormal
T-cells
B-cells
Survival
Naive
Lymphocytes
Selection
Calculus
Cycle
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2006 Higher Education Research Data Collection
School of Physical Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 18 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 17 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 15 Aug 2007, 07:18:44 EST