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少即是多——一种用于高灵敏度内源性互作组图谱绘制的快速 TurboID 敲入方法。

When less is more - a fast TurboID knock-in approach for high-sensitivity endogenous interactome mapping.

机构信息

Membrane Trafficking Laboratory, Institute for Chemistry and Biochemistry, Freie Universität Berlin, Thielallee 63, 14195 Berlin, Germany.

Laboratory of Protein Biochemistry, Institute for Chemistry and Biochemistry, Freie Universität Berlin, Thielallee 63, 14195 Berlin, Germany.

出版信息

J Cell Sci. 2024 Aug 15;137(16). doi: 10.1242/jcs.261952. Epub 2024 Aug 28.

DOI:10.1242/jcs.261952
PMID:39056144
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11385326/
Abstract

In recent years, proximity labeling has established itself as an unbiased and powerful approach to map the interactome of specific proteins. Although physiological expression of labeling enzymes is beneficial for the mapping of interactors, generation of the desired cell lines remains time-consuming and challenging. Using our established pipeline for rapid generation of C- and N-terminal CRISPR-Cas9 knock-ins (KIs) based on antibiotic selection, we were able to compare the performance of commonly used labeling enzymes when endogenously expressed. Endogenous tagging of the µ subunit of the adaptor protein (AP)-1 complex with TurboID allowed identification of known interactors and cargo proteins that simple overexpression of a labeling enzyme fusion protein could not reveal. We used the KI strategy to compare the interactome of the different AP complexes and clathrin and were able to assemble lists of potential interactors and cargo proteins that are specific for each sorting pathway. Our approach greatly simplifies the execution of proximity labeling experiments for proteins in their native cellular environment and allows going from CRISPR transfection to mass spectrometry analysis and interactome data in just over a month.

摘要

近年来,邻近标记已成为一种用于绘制特定蛋白质互作组的无偏且强大的方法。尽管标记酶的生理表达有利于互作蛋白的作图,但生成所需的细胞系仍然是耗时且具有挑战性的。利用我们基于抗生素选择的快速生成 C 端和 N 端 CRISPR-Cas9 敲入(KI)的既定流水线,我们能够比较内源表达时常用标记酶的性能。通过 TurboID 对内质网附着蛋白(AP)-1 复合物µ亚基进行内源标记,可鉴定出已知的互作蛋白和货物蛋白,而简单过表达标记酶融合蛋白则无法揭示这些蛋白。我们使用 KI 策略来比较不同 AP 复合物和网格蛋白的互作组,并能够组装出针对每种分拣途径的潜在互作蛋白和货物蛋白列表。我们的方法极大地简化了在天然细胞环境中对蛋白质进行邻近标记实验的执行过程,并且能够在短短一个多月的时间内从 CRISPR 转染到质谱分析和互作组数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40e/11385326/7f2e1ab8d9da/joces-137-261952-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40e/11385326/70ca86155500/joces-137-261952-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40e/11385326/8b8f7664b80c/joces-137-261952-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40e/11385326/7f2e1ab8d9da/joces-137-261952-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40e/11385326/70ca86155500/joces-137-261952-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40e/11385326/8b8f7664b80c/joces-137-261952-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b40e/11385326/7f2e1ab8d9da/joces-137-261952-g3.jpg

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