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利用miniTurbo邻近标记技术在细菌中鉴定体内蛋白质网络

Identification of In Vivo Protein Networks Using miniTurbo Proximity Labeling in Bacteria.

作者信息

Tesseur Coralie, Remy Ophélie, Laloux Géraldine, Santin Yoann

机构信息

de Duve Institute, UCLouvain, Brussels, Belgium.

ITQB NOVA, NOVA University of Lisbon, Lisbon, Portugal.

出版信息

Methods Mol Biol. 2025;2953:71-80. doi: 10.1007/978-1-0716-4694-6_5.

Abstract

Protein-protein interactions play a crucial role in many bacterial cell processes. miniTurbo-based proximity labeling has emerged as a powerful tool for the identification of in vivo protein networks in bacteria. In this chapter, we outline a standardized protocol for implementing miniTurbo-dependent proximity labeling in bacterial models. This approach enables the unbiased identification of interacting and proximal proteins under native conditions, providing valuable insights into bacterial cell physiology.

摘要

蛋白质-蛋白质相互作用在许多细菌细胞过程中起着至关重要的作用。基于miniTurbo的邻近标记已成为鉴定细菌体内蛋白质网络的强大工具。在本章中,我们概述了在细菌模型中实施依赖miniTurbo的邻近标记的标准化方案。这种方法能够在天然条件下无偏见地鉴定相互作用和近端蛋白质,为细菌细胞生理学提供有价值的见解。

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