Zechner Christoph, Jülicher Frank
Center for Systems Biology Dresden, Dresden, Germany; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany; Cluster of Excellence Physics of Life, TU Dresden, Dresden, Germany; Faculty of Computer Science, TU Dresden, Dresden, Germany.
Center for Systems Biology Dresden, Dresden, Germany; Max Planck Institute for the Physics of Complex Systems, Dresden, Germany; Cluster of Excellence Physics of Life, TU Dresden, Dresden, Germany.
Cell Syst. 2025 Feb 19;16(2):101168. doi: 10.1016/j.cels.2025.101168. Epub 2025 Feb 7.
Biomolecular condensates have been proposed to buffer intracellular concentrations and reduce noise. However, concentrations need not be buffered in multicomponent systems, leading to a non-constant saturation concentration (c) when individual components are varied. Simplified equilibrium considerations suggest that noise reduction might be closely related to concentration buffering and that a fixed saturation concentration is required for noise reduction to be effective. Here, we present a theoretical analysis to demonstrate that these suggestions do not apply to mesoscopic fluctuating systems. We show that concentration buffering and noise reduction are distinct concepts, which cannot be used interchangeably. We further demonstrate that concentration buffering and a constant c are neither necessary nor sufficient for noise reduction to be effective. Clarity about these concepts is important for studying the role of condensates in controlling cellular noise and for the interpretation of concentration relationships in cells. A record of this paper's transparent peer review process is included in the supplemental information.
生物分子凝聚物被认为可以缓冲细胞内浓度并降低噪声。然而,在多组分系统中浓度无需缓冲,当单个组分发生变化时会导致饱和浓度(c)不恒定。简化的平衡考虑表明,噪声降低可能与浓度缓冲密切相关,并且为使噪声降低有效需要固定的饱和浓度。在此,我们进行了一项理论分析以证明这些观点不适用于介观波动系统。我们表明浓度缓冲和噪声降低是不同的概念,不能相互替代使用。我们进一步证明,浓度缓冲和恒定的c对于有效降低噪声既非必要条件也非充分条件。明确这些概念对于研究凝聚物在控制细胞噪声中的作用以及解释细胞中的浓度关系很重要。本文透明的同行评审过程记录包含在补充信息中。