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脂质和蛋白质导向的光敏剂邻近标记捕获胆固醇相互作用组。

Lipid- and protein-directed photosensitizer proximity labeling captures the cholesterol interactome.

作者信息

Becker Andrew P, Biletch Elijah, Kennelly John Paul, Julio Ashley R, Villaneuva Miranda, Nagari Rohith T, Turner Daniel W, Burton Nikolas R, Fukuta Tomoyuki, Cui Liujuan, Xiao Xu, Hong Soon-Gook, Mack Julia J, Tontonoz Peter, Backus Keriann M

机构信息

Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.

Department of Chemistry and Biochemistry, UCLA, Los Angeles, California 90095, USA.

出版信息

bioRxiv. 2024 Aug 24:2024.08.20.608660. doi: 10.1101/2024.08.20.608660.

Abstract

The physical properties of cellular membranes, including fluidity and function, are influenced by protein and lipid interactions. In situ labeling chemistries, most notably proximity-labeling interactomics are well suited to characterize these dynamic and often fleeting interactions. Established methods require distinct chemistries for proteins and lipids, which limits the scope of such studies. Here we establish a singlet-oxygen-based photocatalytic proximity labeling platform (POCA) that reports intracellular interactomes for both proteins and lipids with tight spatiotemporal resolution using cell-penetrant photosensitizer reagents. Using both physiologically relevant lipoprotein-complexed probe delivery and genetic manipulation of cellular cholesterol handling machinery, cholesterol-directed POCA captured established and unprecedented cholesterol binding proteins, including protein complexes sensitive to intracellular cholesterol levels and proteins uniquely captured by lipoprotein uptake. Protein-directed POCA accurately mapped known intracellular membrane complexes, defined sterol-dependent changes to the non-vesicular cholesterol transport protein interactome, and captured state-dependent changes in the interactome of the cholesterol transport protein Aster-B. More broadly, we find that POCA is a versatile interactomics platform that is straightforward to implement, using the readily available HaloTag system, and fulfills unmet needs in intracellular singlet oxygen-based proximity labeling proteomics. Thus, we expect widespread utility for POCA across a range of interactome applications, spanning imaging to proteomics.

摘要

细胞膜的物理特性,包括流动性和功能,受蛋白质与脂质相互作用的影响。原位标记化学方法,尤其是邻近标记相互作用组学,非常适合表征这些动态且往往短暂的相互作用。已有的方法需要针对蛋白质和脂质采用不同的化学方法,这限制了此类研究的范围。在此,我们建立了一个基于单线态氧的光催化邻近标记平台(POCA),该平台使用细胞穿透性光敏剂试剂,以紧密的时空分辨率报告蛋白质和脂质的细胞内相互作用组。通过生理相关的脂蛋白复合探针递送以及对细胞胆固醇处理机制的基因操作,胆固醇导向的POCA捕获了已确定的和前所未有的胆固醇结合蛋白,包括对细胞内胆固醇水平敏感的蛋白复合物以及通过脂蛋白摄取独特捕获的蛋白。蛋白质导向的POCA准确绘制了已知的细胞内膜复合物,定义了非囊泡胆固醇转运蛋白相互作用组中固醇依赖性变化,并捕获了胆固醇转运蛋白Aster - B相互作用组中的状态依赖性变化。更广泛地说,我们发现POCA是一个通用的相互作用组学平台,使用现成的HaloTag系统易于实施,满足了基于细胞内单线态氧的邻近标记蛋白质组学中未满足的需求。因此,我们预计POCA在一系列相互作用组应用中具有广泛的实用性,涵盖从成像到蛋白质组学的各个领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5909/11370482/e759f7a0624e/nihpp-2024.08.20.608660v2-f0001.jpg

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