Deutsches Krebsforschungszentrum, D-69120 Heidelberg, Germany.
J Chem Phys. 2010 Jul 14;133(2):025101. doi: 10.1063/1.3435345.
The metabolism of a living cell requires a permanent transfer of molecules throughout the cell and beyond its bounds. Within cell nuclei, molecules are predominantly driven by diffusion, which is influenced by the chromatin network. We propose a quantity related to the pair correlation function to measure the diffusion-relevant clumpiness of chromatin. Using Monte Carlo lattice simulations, we investigate to what extent diffusion can be anomalous due to obstruction by the chromatin network. Chromatin is simulated by a wormlike chain on a lattice, which exhibits different types of loop-induced compartmentalization on a subchromosomal level. Our simulation results show that the proposed measure of clumpiness is suitable to quantify the compartmentalization of chromatin and to connect it to diffusion anomaly parameters, critical molecule sizes for trapping and the transition lengths at which diffusion becomes normal at long times.
活细胞的新陈代谢需要分子在细胞内以及细胞边界处不断地转移。在细胞核内,分子主要通过扩散来移动,而扩散又受到染色质网络的影响。我们提出了一个与对关联函数有关的量来衡量染色质的扩散相关聚集程度。通过蒙特卡罗格子模拟,我们研究了由于染色质网络的阻碍,扩散会在多大程度上变得异常。用格子上的蠕虫链来模拟染色质,它在亚染色体水平上表现出不同类型的环诱导分区。我们的模拟结果表明,所提出的聚集度度量方法适合于量化染色质的分区,并将其与扩散异常参数、捕获关键分子大小以及扩散在长时间后变得正常的转变长度联系起来。