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阿尔法纳米抗体引导的内源性标记

ALFA nanobody-guided endogenous labeling.

作者信息

Wang Zhe, Hu Fang, Xue Fudong, He Wenting, Yuan Lin, Xu Pingyong

机构信息

Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.

College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.

出版信息

Nat Chem Biol. 2025 Aug 29. doi: 10.1038/s41589-025-02019-7.

Abstract

Small peptide tags offer advantages as their compact size reduces target protein interference, making them valuable for labeling endogenous proteins. However, the lack of inherent fluorescence poses challenges for post-genome knockin monoclonal clone screening. Here we report an adaptable approach leveraging antigen-stabilizing fluorescent protein-fused nanobodies (Nbs) to selectively illuminate cells with successful ALFA tag knockins, streamlining high-throughput cell screening using fluorescence-activated cell sorting. Through targeted mutations and screening of ALFA Nbs (NbALFA), the fluorescently labeled Nb can be selectively degraded in the absence of the ALFA peptide. Conversely, successful insertion of the ALFA peptide into the genome results in a substantial increase in the fluorescence intensity of the Nb. This technique, termed ALFA Nb-guided endogenous labeling (ANGEL), enables a wide array of versatile applications within the native cellular environment. These applications include precise protein labeling and signal amplification through the tandem arrangement of ALFA tags, dynamic monitoring of protein behavior, initiation of protein degradation processes and analysis of protein interactome.

摘要

小肽标签具有优势,因为其紧凑的尺寸减少了对目标蛋白的干扰,使其对于标记内源性蛋白很有价值。然而,缺乏固有荧光给基因组敲入单克隆克隆筛选带来了挑战。在此,我们报告了一种适应性方法,利用抗原稳定化荧光蛋白融合纳米抗体(Nbs)来选择性地照亮成功敲入ALFA标签的细胞,从而通过荧光激活细胞分选简化高通量细胞筛选。通过对ALFA纳米抗体(NbALFA)进行靶向突变和筛选,荧光标记的纳米抗体在没有ALFA肽的情况下可被选择性降解。相反,ALFA肽成功插入基因组会导致纳米抗体的荧光强度大幅增加。这种技术称为ALFA纳米抗体引导的内源性标记(ANGEL),能够在天然细胞环境中实现广泛的通用应用。这些应用包括通过ALFA标签的串联排列进行精确的蛋白质标记和信号放大、动态监测蛋白质行为、启动蛋白质降解过程以及分析蛋白质相互作用组。

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