Dynamics of mutant cells in hierarchical organized tissues.

Most tissues in multicellular organisms are maintained by continuous cell renewal processes. However, high turnover of many cells implies a large number of error-prone cell divisions. Hierarchical organized tissue structures with stem cell driven cell differentiation provide one way to prevent the a...

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Main Authors: Benjamin Werner, David Dingli, Tom Lenaerts, Jorge M Pacheco, Arne Traulsen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-12-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3228763?pdf=render
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spelling doaj-9e6a84b9de8547e2915cbb058522089d2020-11-25T01:11:55ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582011-12-01712e100229010.1371/journal.pcbi.1002290Dynamics of mutant cells in hierarchical organized tissues.Benjamin WernerDavid DingliTom LenaertsJorge M PachecoArne TraulsenMost tissues in multicellular organisms are maintained by continuous cell renewal processes. However, high turnover of many cells implies a large number of error-prone cell divisions. Hierarchical organized tissue structures with stem cell driven cell differentiation provide one way to prevent the accumulation of mutations, because only few stem cells are long lived. We investigate the deterministic dynamics of cells in such a hierarchical multi compartment model, where each compartment represents a certain stage of cell differentiation. The dynamics of the interacting system is described by ordinary differential equations coupled across compartments. We present analytical solutions for these equations, calculate the corresponding extinction times and compare our results to individual based stochastic simulations. Our general compartment structure can be applied to different tissues, as for example hematopoiesis, the epidermis, or colonic crypts. The solutions provide a description of the average time development of stem cell and non stem cell driven mutants and can be used to illustrate general and specific features of the dynamics of mutant cells in such hierarchically structured populations. We illustrate one possible application of this approach by discussing the origin and dynamics of PIG-A mutant clones that are found in the bloodstream of virtually every healthy adult human. From this it is apparent, that not only the occurrence of a mutant but also the compartment of origin is of importance.http://europepmc.org/articles/PMC3228763?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Benjamin Werner
David Dingli
Tom Lenaerts
Jorge M Pacheco
Arne Traulsen
spellingShingle Benjamin Werner
David Dingli
Tom Lenaerts
Jorge M Pacheco
Arne Traulsen
Dynamics of mutant cells in hierarchical organized tissues.
PLoS Computational Biology
author_facet Benjamin Werner
David Dingli
Tom Lenaerts
Jorge M Pacheco
Arne Traulsen
author_sort Benjamin Werner
title Dynamics of mutant cells in hierarchical organized tissues.
title_short Dynamics of mutant cells in hierarchical organized tissues.
title_full Dynamics of mutant cells in hierarchical organized tissues.
title_fullStr Dynamics of mutant cells in hierarchical organized tissues.
title_full_unstemmed Dynamics of mutant cells in hierarchical organized tissues.
title_sort dynamics of mutant cells in hierarchical organized tissues.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2011-12-01
description Most tissues in multicellular organisms are maintained by continuous cell renewal processes. However, high turnover of many cells implies a large number of error-prone cell divisions. Hierarchical organized tissue structures with stem cell driven cell differentiation provide one way to prevent the accumulation of mutations, because only few stem cells are long lived. We investigate the deterministic dynamics of cells in such a hierarchical multi compartment model, where each compartment represents a certain stage of cell differentiation. The dynamics of the interacting system is described by ordinary differential equations coupled across compartments. We present analytical solutions for these equations, calculate the corresponding extinction times and compare our results to individual based stochastic simulations. Our general compartment structure can be applied to different tissues, as for example hematopoiesis, the epidermis, or colonic crypts. The solutions provide a description of the average time development of stem cell and non stem cell driven mutants and can be used to illustrate general and specific features of the dynamics of mutant cells in such hierarchically structured populations. We illustrate one possible application of this approach by discussing the origin and dynamics of PIG-A mutant clones that are found in the bloodstream of virtually every healthy adult human. From this it is apparent, that not only the occurrence of a mutant but also the compartment of origin is of importance.
url http://europepmc.org/articles/PMC3228763?pdf=render
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