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通过体内交联与近端标记相结合实现的亚细胞器特异性蛋白质复合物分析

Suborganelle-Specific Protein Complex Analysis Enabled by in Vivo Cross-Linking Coupled with Proximal Labeling.

作者信息

An Yuxin, Zhao Qun, Gong Zhou, Zhao Lili, Li Yi, Liang Zhen, Zou Peng, Zhang Yukui, Zhang Lihua

机构信息

CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R. & A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, Liaoning116023, China.

University of Chinese Academy of Sciences, Beijing100039, China.

出版信息

Anal Chem. 2022 Sep 6;94(35):12051-12059. doi: 10.1021/acs.analchem.2c01637. Epub 2022 Aug 25.

Abstract

The identification of the structure of protein complexes in the subcellular niche of cells is necessary to understand their diverse functions. In this study, we developed a suborganelle proteome labeling assisted in vivo cross-linking (SubPiXL) strategy to identify regional protein conformations and interactions in living cells. Due to the mitochondria's functional importance and well-defined compartmental partitions, the specific conformations and interactome of protein complexes located in the mitochondrial matrix were identified. Compared to the commonly used approach of organelle isolation followed by intact mitochondria cross-linking, our method achieved a more refined spatial characterization for the subcompartment of the cellular organelle. Additionally, this approach avoided cross-contamination and cell microenvironment disruption during organelle isolation. As such, we achieved 73% selectivity for mitochondria and 98% specificity of known suborganelle annotation for the mitochondrial matrix and accessible inner membrane. Meanwhile, more protein-protein interactions (PPIs) with high dynamics were captured, resulting in a 1.67-fold increase in the number of PPI identifications in 1/11th of the time. On the basis of these structural cross-links and the specific characterization of the interactome and conformation, the structural dynamics targeted in the mitochondrial matrix were delineated. Mitochondrial matrix-restricted information for proteins with multisubcellular localizations was then clarified. In summary, SubPiXL is a promising technique for the investigation of suborganelle-resolved protein conformation and interaction analysis and contributes to a better understanding of structure-derived functions.

摘要

识别细胞亚细胞微环境中蛋白质复合物的结构对于理解其多样功能至关重要。在本研究中,我们开发了一种亚细胞器蛋白质组标记辅助体内交联(SubPiXL)策略,以识别活细胞中的区域蛋白质构象和相互作用。由于线粒体的功能重要性和明确的区室划分,我们确定了位于线粒体基质中的蛋白质复合物的特定构象和相互作用组。与常用的细胞器分离后进行完整线粒体交联的方法相比,我们的方法对细胞器亚区室实现了更精细的空间表征。此外,这种方法避免了细胞器分离过程中的交叉污染和细胞微环境破坏。因此,我们对线粒体的选择性达到73%,对线粒体基质和可及内膜的已知亚细胞器注释的特异性达到98%。同时,捕获了更多具有高动态性的蛋白质-蛋白质相互作用(PPI),在1/11的时间内PPI鉴定数量增加了1.67倍。基于这些结构交联以及相互作用组和构象的特异性表征,描绘了线粒体基质中的结构动力学。然后阐明了具有多亚细胞定位的蛋白质的线粒体基质限制信息。总之,SubPiXL是一种用于研究亚细胞器分辨的蛋白质构象和相互作用分析的有前途的技术,有助于更好地理解结构衍生的功能。

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