Gamuyao Rico, Chang Chi-Lun
Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, United States.
Front Cell Dev Biol. 2024 Sep 24;12:1466915. doi: 10.3389/fcell.2024.1466915. eCollection 2024.
Organelle contact sites are regions where two heterologous membranes are juxtaposed by molecular tethering complexes. These contact sites are important in inter-organelle communication and cellular functional integration. However, visualizing these minute foci and identifying contact site proteomes have been challenging. In recent years, fluorescence-based methods have been developed to visualize the dynamic physical interaction of organelles while proximity labeling approaches facilitate the profiling of proteomes at contact sites. In this review, we explain the design principle for these contact site reporters: a dual-organelle interaction mechanism based on how endogenous tethers and/or tethering complexes localize to contact sites. We classify the contact site reporters into three categories: (i) single-protein systems, (ii) two-component systems with activated reporter signal upon organelle proximity, and (iii) reporters for contact site proteomes. We also highlight advanced imaging analysis with high temporal-spatial resolution and the use of machine-learning algorithms for detecting contact sites.
细胞器接触位点是通过分子拴系复合物使两个异源膜并列的区域。这些接触位点在细胞器间通讯和细胞功能整合中很重要。然而,可视化这些微小焦点并鉴定接触位点蛋白质组一直具有挑战性。近年来,已开发出基于荧光的方法来可视化细胞器的动态物理相互作用,而邻近标记方法则有助于对接触位点的蛋白质组进行分析。在本综述中,我们解释了这些接触位点报告分子的设计原理:一种基于内源性拴系蛋白和/或拴系复合物如何定位于接触位点的双细胞器相互作用机制。我们将接触位点报告分子分为三类:(i)单蛋白系统,(ii)细胞器接近时报告信号被激活的双组分系统,以及(iii)接触位点蛋白质组的报告分子。我们还强调了具有高时空分辨率的先进成像分析以及使用机器学习算法来检测接触位点。