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Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies

How adult stem cells maintain self-renewing tissues is commonly assessed by analysing clonal data from in vivo cell lineage-tracing assays. To identify strategies of stem cell self-renewal requires that different models of stem cell fate choice predict sufficiently different clonal statistics. Here,...

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Detalles Bibliográficos
Autores principales: Parigini, Cristina, Greulich, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444910/
https://www.ncbi.nlm.nih.gov/pubmed/32687057
http://dx.doi.org/10.7554/eLife.56532
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author Parigini, Cristina
Greulich, Philip
author_facet Parigini, Cristina
Greulich, Philip
author_sort Parigini, Cristina
collection PubMed
description How adult stem cells maintain self-renewing tissues is commonly assessed by analysing clonal data from in vivo cell lineage-tracing assays. To identify strategies of stem cell self-renewal requires that different models of stem cell fate choice predict sufficiently different clonal statistics. Here, we show that models of cell fate choice can, in homeostatic tissues, be categorized by exactly two ‘universality classes’, whereby models of the same class predict, under asymptotic conditions, the same clonal statistics. Those classes relate to generalizations of the canonical asymmetric vs. symmetric stem cell self-renewal strategies and are distinguished by a conservation law. This poses both challenges and opportunities to identify stem cell self-renewal strategies: while under asymptotic conditions, self-renewal models of the same universality class cannot be distinguished by clonal data only, models of different classes can be distinguished by simple means.
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spelling pubmed-74449102020-08-26 Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies Parigini, Cristina Greulich, Philip eLife Computational and Systems Biology How adult stem cells maintain self-renewing tissues is commonly assessed by analysing clonal data from in vivo cell lineage-tracing assays. To identify strategies of stem cell self-renewal requires that different models of stem cell fate choice predict sufficiently different clonal statistics. Here, we show that models of cell fate choice can, in homeostatic tissues, be categorized by exactly two ‘universality classes’, whereby models of the same class predict, under asymptotic conditions, the same clonal statistics. Those classes relate to generalizations of the canonical asymmetric vs. symmetric stem cell self-renewal strategies and are distinguished by a conservation law. This poses both challenges and opportunities to identify stem cell self-renewal strategies: while under asymptotic conditions, self-renewal models of the same universality class cannot be distinguished by clonal data only, models of different classes can be distinguished by simple means. eLife Sciences Publications, Ltd 2020-07-20 /pmc/articles/PMC7444910/ /pubmed/32687057 http://dx.doi.org/10.7554/eLife.56532 Text en © 2020, Parigini and Greulich http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Parigini, Cristina
Greulich, Philip
Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
title Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
title_full Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
title_fullStr Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
title_full_unstemmed Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
title_short Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
title_sort universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444910/
https://www.ncbi.nlm.nih.gov/pubmed/32687057
http://dx.doi.org/10.7554/eLife.56532
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AT greulichphilip universalityofclonaldynamicsposesfundamentallimitstoidentifystemcellselfrenewalstrategies