Direct computations of viscoelastic moduli of biomolecular condensates.

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2024-09-07 DOI:10.1063/5.0223001
Samuel R Cohen, Priya R Banerjee, Rohit V Pappu
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Abstract

Biomolecular condensates are viscoelastic materials defined by time-dependent, sequence-specific complex shear moduli. Here, we show that viscoelastic moduli can be computed directly using a generalization of the Rouse model that leverages information regarding intra- and inter-chain contacts, which we extract from equilibrium configurations of lattice-based Metropolis Monte Carlo (MMC) simulations of phase separation. The key ingredient of the generalized Rouse model is a graph Laplacian that we compute from equilibrium MMC simulations. We compute two flavors of graph Laplacians, one based on a single-chain graph that accounts only for intra-chain contacts, and the other referred to as a collective graph that accounts for inter-chain interactions. Calculations based on the single-chain graph systematically overestimate the storage and loss moduli, whereas calculations based on the collective graph reproduce the measured moduli with greater fidelity. However, in the long time, low-frequency domain, a mixture of the two graphs proves to be most accurate. In line with the theory of Rouse and contrary to recent assertions, we find that a continuous distribution of relaxation times exists in condensates. The single crossover frequency between dominantly elastic vs dominantly viscous behaviors does not imply a single relaxation time. Instead, it is influenced by the totality of the relaxation modes. Hence, our analysis affirms that viscoelastic fluid-like condensates are best described as generalized Maxwell fluids. Finally, we show that the complex shear moduli can be used to solve an inverse problem to obtain the relaxation time spectra that underlie the dynamics within condensates. This is of practical importance given advancements in passive and active microrheology measurements of condensate viscoelasticity.

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生物分子凝聚物粘弹性模量的直接计算。
生物分子凝聚物是一种粘弹性材料,由随时间变化的特定序列复合剪切模量定义。我们从基于晶格的 Metropolis Monte Carlo(MMC)相分离模拟的平衡构型中提取了链内和链间接触的信息,在这里,我们展示了粘弹性模量可以直接利用罗兹模型的广义化来计算。广义劳斯模型的关键要素是图拉普拉奇,我们从 MMC 平衡模拟中计算出该图拉普拉奇。我们计算了两种图形拉普拉斯,一种基于单链图形,只考虑链内接触;另一种称为集合图形,考虑链间相互作用。基于单链图的计算系统性地高估了存储模量和损耗模量,而基于集合图的计算则更真实地再现了测量模量。然而,在长时间、低频率领域,两种图形的混合被证明是最准确的。与劳斯的理论一致,也与最近的论断相反,我们发现在凝聚态中存在着弛豫时间的连续分布。主要弹性行为与主要粘性行为之间的单一交叉频率并不意味着单一的弛豫时间。相反,它受到所有弛豫模式的影响。因此,我们的分析证实,粘弹性流体状凝聚态最适合描述为广义麦克斯韦流体。最后,我们证明了复剪切模量可用于求解逆问题,从而获得弛豫时间谱,这是凝结物内部动力学的基础。鉴于冷凝物粘弹性的被动和主动微流变测量的进步,这一点具有重要的实际意义。
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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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