Department of Biomedical Engineering, Northwestern University, Evanston, Illinois; Chemistry of Life Processes Institute, Northwestern University, Evanston, Illinois.
Department of Biomedical Engineering, Northwestern University, Evanston, Illinois.
Biophys J. 2020 May 5;118(9):2117-2129. doi: 10.1016/j.bpj.2019.11.007. Epub 2019 Nov 15.
The nuclear environment is highly crowded by biological macromolecules, including chromatin and mobile proteins, which alter the kinetics and efficiency of transcriptional machinery. These alterations have been described, both theoretically and experimentally, for steady-state crowding densities; however, temporal changes in crowding density ("dynamic crowding") have yet to be integrated with gene expression. Dynamic crowding is pertinent to nuclear biology because processes such as chromatin translocation and protein diffusion lend to highly mobile biological crowders. Therefore, to capture such dynamic crowding and investigate its influence on transcription, we employ a three-pronged, systems-molecular approach. A system of chemical reactions represents the transcription pathway, the rates of which are determined by molecular-scale simulations; Brownian dynamics and Monte Carlo simulations quantify protein diffusion and DNA-protein binding affinity, dependent on macromolecular density. Altogether, this approach shows that transcription depends critically on dynamic crowding as the gene expression resultant from dynamic crowding can be profoundly different than that of steady-state crowding. In fact, expression levels can display both amplification and suppression and are notably different for genes or gene populations with different chemical and structural properties. These properties can be exploited to impose circadian expression, which is asymmetric and varies in strength, or to explain expression in cells under biomechanical stress. Therefore, this work demonstrates that dynamic crowding nontrivially alters transcription kinetics and presents dynamic crowding within the bulk nuclear nanoenvironment as a novel regulatory framework for gene expression.
核环境高度拥挤着生物大分子,包括染色质和可移动的蛋白质,它们改变了转录机器的动力学和效率。这些改变无论是在理论上还是在实验上都已经被描述过了,适用于稳态拥挤密度;然而,拥挤密度的时间变化(“动态拥挤”)尚未与基因表达相结合。动态拥挤与核生物学有关,因为诸如染色质易位和蛋白质扩散等过程导致生物拥挤者高度移动。因此,为了捕捉这种动态拥挤并研究其对转录的影响,我们采用了一种三管齐下的系统-分子方法。化学反应系统代表转录途径,其速率由分子尺度模拟确定;布朗动力学和蒙特卡罗模拟根据大分子密度量化蛋白质扩散和 DNA-蛋白质结合亲和力。总的来说,这种方法表明转录严重依赖于动态拥挤,因为动态拥挤的基因表达结果可能与稳态拥挤有很大的不同。事实上,表达水平可以显示放大和抑制,并且对于具有不同化学和结构特性的基因或基因群体,表达水平明显不同。这些特性可以被用来施加生物钟表达,其不对称且强度变化,或解释在生物力学应激下的细胞中的表达。因此,这项工作表明,动态拥挤会改变转录动力学,并将核内纳米环境中的动态拥挤作为基因表达的一个新的调控框架。