Ontology highlight
ABSTRACT:
SUBMITTER: Parigini C
PROVIDER: S-EPMC7444910 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Parigini Cristina C Greulich Philip P
eLife 20200720
How adult stem cells maintain self-renewing tissues is commonly assessed by analysing clonal data from <i>in vivo</i> 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 ...[more]