Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA.
Department of Molecular, Cellular, and Developmental Biology, University of Colorado-Boulder, Boulder, CO, 80309, USA.
Sci Rep. 2022 Oct 12;12(1):17074. doi: 10.1038/s41598-022-14946-9.
Evidence from models and experiments suggests that the networked structure observed in mitochondria emerges at the critical point of a phase transition controlled by fission and fusion rates. If mitochondria are poised at criticality, the relevant network quantities should scale with the system's size. However, whether or not the expected finite-size effects take place has not been demonstrated yet. Here, we first provide a theoretical framework to interpret the scaling behavior of mitochondrial network quantities by analyzing two conceptually different models of mitochondrial dynamics. Then, we perform a finite-size scaling analysis of real mitochondrial networks extracted from microscopy images and obtain scaling exponents comparable with critical exponents from models and theory. Overall, we provide a universal description of the structural phase transition in mammalian mitochondria.
从模型和实验中得到的证据表明，线粒体中观察到的网络结构出现在由裂变和融合速率控制的相变临界点。如果线粒体处于临界点，那么相关的网络数量应该与系统的大小成比例。然而，是否存在预期的有限大小效应尚未得到证明。在这里，我们首先通过分析两种不同的线粒体动力学模型，提供了一个解释线粒体网络数量标度行为的理论框架。然后，我们对从显微镜图像中提取的真实线粒体网络进行了有限大小标度分析，并获得了与模型和理论中的临界指数相当的标度指数。总的来说，我们为哺乳动物线粒体中的结构相变提供了一个通用的描述。
