少即是多--高灵敏度内源性相互作用组图谱的快速 TurboID KI 方法。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-15 Epub Date: 2024-08-28 DOI:10.1242/jcs.261952
Alexander Stockhammer, Carissa Spalt, Antonia Klemt, Laila S Benz, Shelly Harel, Vini Natalia, Lukas Wiench, Christian Freund, Benno Kuropka, Francesca Bottanelli
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引用次数: 0

摘要

近年来,近距离标记已成为绘制特定蛋白质相互作用组图谱的一种无偏见且强大的方法。虽然标记酶的生理性表达有利于绘制相互作用者图谱,但生成所需的细胞系仍然耗时且具有挑战性。利用我们基于抗生素选择快速生成 C 端和 N 端 CRISPR-Cas9 基因敲除蛋白(KIs)的既定流程,我们能够比较常用标记酶在内源性表达时的性能。用 TurboID 对 AP-1 复合物的 µ 亚基进行内源标记,可以识别已知的相互作用者和载货蛋白,而简单地过表达标记酶融合蛋白则无法揭示这一点。我们使用 KI 策略比较了不同适配蛋白(AP)复合物和凝集素的相互作用组,并能为每种分拣途径建立特异的潜在相互作用者和货物蛋白列表。我们的方法大大简化了在原生细胞环境中对蛋白质进行近距离标记的实验,从CRISPR转染到质谱分析和相互作用组数据的获取只需一个多月的时间。
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When less is more - a fast TurboID knock-in approach for high-sensitivity endogenous interactome mapping.

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.

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CiteScore
7.20
自引率
4.30%
发文量
567
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