Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
复制标题
克隆动力学的普遍性对干细胞自我更新策略的识别提出了根本限制
DOI：
10.1101/2020.02.10.941286
复制
发表时间：
2020
期刊：
影响因子：
7.7
通讯作者：
P. Greulich
中科院分区：
文献类型：
--
作者：
C. Parigini;P. Greulich
成体干细胞如何维持自我更新组织通常通过分析来自细胞谱系追踪测定的克隆数据来体内评估。为了确定干细胞自我更新的策略，需要不同的干细胞命运选择模型预测足够不同的克隆统计。在这里，我们表明，细胞命运的选择模型，在稳态组织，可以被归类为两个“普适性类”，即同一类的模型预测，在渐近条件下，相同的克隆统计。这些类别涉及到典型的不对称与对称干细胞自我更新策略的泛化，并通过守恒定律进行区分。这对识别干细胞自我更新策略提出了挑战和机遇：虽然在渐近条件下，同一普适性类的自我更新模型不能仅通过克隆数据来区分，但不同类的模型可以通过简单的方法来区分。
How adult stem cells maintain self-renewing tissues is in vivo commonly assessed by analysing clonal data from 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 differentiated 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.
影响因子：
23.9
作者：
Klein, Allon M.;Nakagawa, Toshinori;Simons, Benjamin D.
通讯作者：
Simons, Benjamin D.
影响因子：
3.5
作者：
Greulich P
通讯作者：
Greulich P