Carignano Marcelo, Kröger Martin, Almassalha Luay, Agrawal Vasundhara, Li Wing Shun, Pujadas Emily M, Nap Rikkert J, Backman Vadim, Szleifer Igal
Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
These authors contributed equally: Marcelo Carignano. Martin Kröger and Luay Almassalha.
Res Sq. 2023 Oct 17:rs.3.rs-3399177. doi: 10.21203/rs.3.rs-3399177/v1.
We propose the Self Returning Excluded Volume (SR-EV) model for the structure of chromatin based on stochastic rules and physical interactions that is able to capture the observed behavior across imaging and sequencing based measures of chromatin organization. The SR-EV model takes the return rules of the Self Returning Random Walk, incorporates excluded volume interactions, chain connectivity and expands the length scales range from 10 nm to over 1 micron. The model is computationally fast and we created thousands of configurations that we grouped in twelve different ensembles according to the two main parameters of the model. The analysis of the configurations was done in a way completely analogous to the experimental treatments used to determine chromatin volume concentration, contact probability, packing domain identification and size characterization, and packing scaling behavior. We find a robust agreement between the theoretical and experimental results. The overall organization of the model chromatin is corrugated, with dense packing domains alternating with a very dilute regions in a manner that resembles the mixing of two disordered bi-continuous phases. The return rules combined with excluded volume interactions lead to the formation of packing domains. We observed a transition from a short scale regime to a long scale regime occurring at genomic separations of ~ 4 × 10 base pairs or ~ 100 nm in distance. The contact probability reflects this transition with a change in the scaling exponent from larger than -1 to approximately -1. The analysis of the pair correlation function reveals that chromatin organizes following a power law scaling with exponent in the transition region between the short and long distance regimes.
我们基于随机规则和物理相互作用提出了用于染色质结构的自返回排除体积(SR-EV)模型,该模型能够捕捉基于成像和测序的染色质组织测量中观察到的行为。SR-EV模型采用自返回随机游走的返回规则,纳入排除体积相互作用、链连通性,并将长度尺度范围从10纳米扩展到超过1微米。该模型计算速度快,我们创建了数千种构型,并根据模型的两个主要参数将其分组为十二个不同的系综。对构型的分析方式与用于确定染色质体积浓度、接触概率、堆积域识别和大小表征以及堆积标度行为的实验处理完全类似。我们发现理论结果与实验结果之间有很强的一致性。模型染色质的整体组织呈波纹状,密集堆积域与非常稀疏的区域交替出现,其方式类似于两个无序双连续相的混合。返回规则与排除体积相互作用相结合导致堆积域的形成。我们观察到在基因组间距约为4×10个碱基对或距离约为100纳米处发生从短尺度区域到长尺度区域的转变。接触概率反映了这种转变,标度指数从大于-1变为约-1。对成对相关函数的分析表明,染色质在短距离和长距离区域之间的转变区域遵循幂律标度,指数为 。