染色质转录中桥接诱导相分离和环挤压驱动噪声

IF 9 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Michael Chiang, Cleis Battaglia, Giada Forte, Chris A. Brackley, Nick Gilbert, Davide Marenduzzo
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引用次数: 0

摘要

细胞间转录的异质性,或转录噪声,在细胞发育和疾病中是重要的。然而,驱动它的分子机制是难以捉摸和理解的。在这里,我们使用计算机模拟来探索三维染色质结构在驱动转录噪声中的作用。我们研究了一个简单的聚合物模型,其中转录因子和聚合酶的蛋白质模拟复合物多价结合到转录单位-模拟调控元件,如启动子和增强子。我们还包括挤压染色质环的内聚因子,这对染色体的生理折叠很重要。我们发现转录因子结合在转录动力学中创造了时空模式和高度可变的相关时间,这与基因表达的细胞间变异有关。环路挤压也会产生噪声,因为这一过程的随机性导致我们模型中不同细胞中的内聚素环路网络不同。我们的结果可以用单细胞实验进行测试,并为理解转录可塑性的基本原理提供了一条途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bridging-Induced Phase Separation and Loop Extrusion Drive Noise in Chromatin Transcription
Cell-to-cell heterogeneity in transcription, or transcriptional noise, is important in cellular development and in disease. The molecular mechanisms driving it are, however, elusive and ill-understood. Here, we use computer simulations to explore the role of 3D chromatin structure in driving transcriptional noise. We study a simple polymer model where proteins—modeling complexes of transcription factors and polymerases—bind multivalently to transcription units—modeling regulatory elements such as promoters and enhancers. We also include cohesinlike factors that extrude chromatin loops that are important for the physiological folding of chromosomes. We find that transcription factor binding creates spatiotemporal patterning and a highly variable correlation time in transcriptional dynamics, which is linked to the cell-to-cell variation in gene expression. Loop extrusion also contributes to noise, as the stochastic nature of this process leads to different networks of cohesin loops in different cells in our model. Our results could be tested with single-cell experiments and provide a pathway to understanding the principles underlying transcriptional plasticity .
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来源期刊
Physical review letters
Physical review letters 物理-物理:综合
CiteScore
16.50
自引率
7.00%
发文量
2673
审稿时长
2.2 months
期刊介绍: Physical review letters(PRL)covers the full range of applied, fundamental, and interdisciplinary physics research topics: General physics, including statistical and quantum mechanics and quantum information Gravitation, astrophysics, and cosmology Elementary particles and fields Nuclear physics Atomic, molecular, and optical physics Nonlinear dynamics, fluid dynamics, and classical optics Plasma and beam physics Condensed matter and materials physics Polymers, soft matter, biological, climate and interdisciplinary physics, including networks
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