Shillcock Julian C, Thomas David B, Ipsen John H, Brown Andrew D
Blue Brain Project and Laboratory of Molecular and Chemical Biology of Neurodegeneration, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
Department of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK.
Biology (Basel). 2023 Jan 25;12(2):181. doi: 10.3390/biology12020181.
The crowded interior of a living cell makes performing experiments on simpler in vitro systems attractive. Although these reveal interesting phenomena, their biological relevance can be questionable. A topical example is the phase separation of intrinsically disordered proteins into biomolecular condensates, which is proposed to underlie the membrane-less compartmentalization of many cellular functions. How a cell reliably controls biochemical reactions in compartments open to the compositionally-varying cytoplasm is an important question for understanding cellular homeostasis. Computer simulations are often used to study the phase behavior of model biomolecular condensates, but the number of relevant parameters increases as the number of protein components increases. It is unfeasible to exhaustively simulate such models for all parameter combinations, although interesting phenomena are almost certainly hidden in their high-dimensional parameter space. Here, we have studied the phase behavior of a model biomolecular condensate in the presence of a polymeric crowding agent. We used a novel compute framework to execute dozens of simultaneous simulations spanning the protein/crowder concentration space. We then combined the results into a graphical representation for human interpretation, which provided an efficient way to search the model's high-dimensional parameter space. We found that steric repulsion from the crowder drives a near-critical system across the phase boundary, but the molecular arrangement within the resulting biomolecular condensate is rather insensitive to the crowder concentration and molecular weight. We propose that a cell may use the local cytoplasmic concentration to assist the formation of biomolecular condensates, while relying on the dense phase to reliably provide a stable, structured, fluid milieu for cellular biochemistry despite being open to its changing environment.
活细胞内部拥挤不堪,这使得在更简单的体外系统上进行实验颇具吸引力。尽管这些实验揭示了有趣的现象,但其生物学相关性可能存疑。一个典型的例子是内在无序蛋白质相分离形成生物分子凝聚物,这被认为是许多细胞功能无膜区室化的基础。细胞如何在向成分不断变化的细胞质开放的区室中可靠地控制生化反应,是理解细胞稳态的一个重要问题。计算机模拟常被用于研究模型生物分子凝聚物的相行为,但随着蛋白质成分数量的增加,相关参数的数量也会增加。尽管有趣的现象几乎肯定隐藏在其高维参数空间中,但详尽地模拟所有参数组合的此类模型是不可行的。在这里,我们研究了在存在聚合物拥挤剂的情况下模型生物分子凝聚物的相行为。我们使用了一种新颖的计算框架来执行数十个同时跨越蛋白质/拥挤剂浓度空间的模拟。然后,我们将结果组合成一种便于人类解读的图形表示,这提供了一种搜索模型高维参数空间的有效方法。我们发现,拥挤剂的空间排斥作用驱使一个接近临界的系统跨越相界,但由此产生的生物分子凝聚物内部分子排列对拥挤剂浓度和分子量相当不敏感。我们提出,细胞可能利用局部细胞质浓度来辅助生物分子凝聚物的形成,同时尽管其向不断变化的环境开放,但依靠致密相来可靠地为细胞生物化学提供一个稳定、结构化的流体环境。