Amitai A, Holcman D
Group of Computational Biology and Applied Mathematics, Institute of Biology, Ecole Normale Supérieure, 46 rue d'Ulm, 75005 Paris, France.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Nov;88(5):052604. doi: 10.1103/PhysRevE.88.052604. Epub 2013 Nov 27.
Chromatin inside the cell nucleus consists of the DNA and its hierarchy of interacting molecules, which can be modeled as a complex polymer. To describe the chromatin dynamic, we develop and analyze here a polymer model that accounts for long-range interactions and not just those between the closest neighbors as in the Rouse polymer model. Our construction of the polymer model allows us to recover the local interaction between monomers from the anomalous diffusion exponent, which can be directly measured experimentally. We compute asymptotically for this polymer model the cross-correlation function for a given monomer and the mean time for a loop to be formed. Finally, we discuss some possible applications for interpretation of chromosome capture data.
细胞核内的染色质由DNA及其相互作用分子的层级结构组成,可将其建模为一种复杂聚合物。为描述染色质动力学,我们在此开发并分析了一种聚合物模型,该模型考虑了长程相互作用,而不仅仅是像Rouse聚合物模型那样只考虑最近邻之间的相互作用。我们构建的聚合物模型使我们能够从反常扩散指数中恢复单体之间的局部相互作用,而反常扩散指数可通过实验直接测量。我们针对该聚合物模型渐近计算给定单体的互相关函数以及形成一个环的平均时间。最后,我们讨论了一些用于解释染色体捕获数据的可能应用。