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生物分子凝聚物的成核景观。

Nucleation landscape of biomolecular condensates.

机构信息

Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.

Center for the Physics of Biological Function, Princeton University, Princeton, NJ, USA.

出版信息

Nature. 2021 Nov;599(7885):503-506. doi: 10.1038/s41586-021-03905-5. Epub 2021 Sep 22.

DOI:10.1038/s41586-021-03905-5
PMID:34552246
Abstract

All structures within living cells must form at the right time and place. This includes condensates such as the nucleolus, Cajal bodies and stress granules, which form via liquid-liquid phase separation of biomolecules, particularly proteins enriched in intrinsically disordered regions (IDRs). In non-living systems, the initial stages of nucleated phase separation arise when thermal fluctuations overcome an energy barrier due to surface tension. This phenomenon can be modelled by classical nucleation theory (CNT), which describes how the rate of droplet nucleation depends on the degree of supersaturation, whereas the location at which droplets appear is controlled by interfacial heterogeneities. However, it remains unknown whether this framework applies in living cells, owing to the multicomponent and highly complex nature of the intracellular environment, including the presence of diverse IDRs, whose specificity of biomolecular interactions is unclear. Here we show that despite this complexity, nucleation in living cells occurs through a physical process similar to that in inanimate materials, but the efficacy of nucleation sites can be tuned by their biomolecular features. By quantitatively characterizing the nucleation kinetics of endogenous and biomimetic condensates in living cells, we find that key features of condensate nucleation can be quantitatively understood through a CNT-like theoretical framework. Nucleation rates can be substantially enhanced by compatible biomolecular (IDR) seeds, and the kinetics of cellular processes can impact condensate nucleation rates and specificity of location. This quantitative framework sheds light on the intracellular nucleation landscape, and paves the way for engineering synthetic condensates precisely positioned in space and time.

摘要

所有活细胞内的结构都必须在正确的时间和位置形成。这包括液-液相分离生物分子形成的凝聚体,如核仁、Cajal 体和应激颗粒,特别是富含无规卷曲区域(IDR)的蛋白质。在非生命系统中,当热波动克服由于表面张力引起的能垒时,成核相分离的初始阶段就会出现。这一现象可以通过经典成核理论(CNT)来模拟,该理论描述了液滴成核率如何取决于过饱和度的程度,而液滴出现的位置则由界面不均匀性控制。然而,由于细胞内环境的多组分和高度复杂性质,包括存在多种 IDR,其生物分子相互作用的特异性尚不清楚,因此尚不清楚这个框架是否适用于活细胞。尽管存在这种复杂性,但活细胞中的成核是通过类似于无生命物质的物理过程发生的,但是成核位点的功效可以通过其生物分子特征来调节。通过定量表征活细胞内源性和仿生凝聚体的成核动力学,我们发现通过类似 CNT 的理论框架可以定量理解凝聚体成核的关键特征。相容的生物分子(IDR)种子可以大大增强成核速率,细胞过程的动力学可以影响凝聚体成核速率和位置的特异性。这个定量框架揭示了细胞内成核景观,并为在空间和时间上精确定位合成凝聚体铺平了道路。

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Nucleation landscape of biomolecular condensates.生物分子凝聚物的成核景观。
Nature. 2021 Nov;599(7885):503-506. doi: 10.1038/s41586-021-03905-5. Epub 2021 Sep 22.
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