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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,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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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. |
format | Online Article Text |
id | pubmed-7444910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT pariginicristina universalityofclonaldynamicsposesfundamentallimitstoidentifystemcellselfrenewalstrategies AT greulichphilip universalityofclonaldynamicsposesfundamentallimitstoidentifystemcellselfrenewalstrategies |