Tannenbaum Emmanuel, Sherley James L, Shakhnovich Eugene I
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Apr;71(4 Pt 1):041914. doi: 10.1103/PhysRevE.71.041914. Epub 2005 Apr 27.
This paper develops a point-mutation model describing the evolutionary dynamics of a population of adult stem cells. Such a model may prove useful for quantitative studies of tissue aging and the emergence of cancer. We consider two modes of chromosome segregation: (1) random segregation, where the daughter chromosomes of a given parent chromosome segregate randomly into the stem cell and its differentiating sister cell and (2) "immortal DNA strand" co-segregation, for which the stem cell retains the daughter chromosomes with the oldest parent strands. Immortal strand co-segregation is a mechanism, originally proposed by [Cairns Nature (London) 255, 197 (1975)], by which stem cells preserve the integrity of their genomes. For random segregation, we develop an ordered strand pair formulation of the dynamics, analogous to the ordered strand pair formalism developed for quasispecies dynamics involving semiconservative replication with imperfect lesion repair (in this context, lesion repair is taken to mean repair of postreplication base-pair mismatches). Interestingly, a similar formulation is possible with immortal strand co-segregation, despite the fact that this segregation mechanism is age dependent. From our model we are able to mathematically show that, when lesion repair is imperfect, then immortal strand co-segregation leads to better preservation of the stem cell lineage than random chromosome segregation. Furthermore, our model allows us to estimate the optimal lesion repair efficiency for preserving an adult stem cell population for a given period of time. For human stem cells, we obtain that mispaired bases still present after replication and cell division should be left untouched, to avoid potentially fixing a mutation in both DNA strands.
本文建立了一个点突变模型,用于描述成体干细胞群体的进化动力学。这样的模型可能对组织衰老和癌症发生的定量研究有用。我们考虑两种染色体分离模式:(1)随机分离,即给定亲本染色体的子染色体随机分离到干细胞及其分化的姐妹细胞中;(2)“永生DNA链”共分离,即干细胞保留带有最古老亲本链的子染色体。永生链共分离是一种最初由[凯恩斯,《自然》(伦敦)255, 197(1975)]提出的机制,通过该机制干细胞保持其基因组的完整性。对于随机分离,我们开发了一种动力学的有序链对公式,类似于为涉及半保留复制和不完全损伤修复的准种动力学开发的有序链对形式主义(在这种情况下,损伤修复是指复制后碱基对错配的修复)。有趣的是,尽管这种分离机制与年龄有关,但对于永生链共分离也可以有类似的公式。从我们的模型中,我们能够从数学上证明,当损伤修复不完全时,永生链共分离比随机染色体分离能更好地保存干细胞谱系。此外,我们的模型使我们能够估计在给定时间段内保存成体干细胞群体的最佳损伤修复效率。对于人类干细胞,我们得出在复制和细胞分裂后仍存在的错配碱基应保持不变,以避免潜在地在两条DNA链中固定一个突变。