使用AirID结合的抗原结合片段对EGFR进行细胞外蛋白与蛋白相互作用的近距离分析
Kohdai Yamada1, Ryouhei Shioya1, Kohei Nishino2
1Division of Cell-Free Life Science, Proteo-Science Center, Ehime University, 3 Bunkyo-cho, Matsuyama, Ehime, 790-8577, Japan.
Nature communications
|December 14, 2023
概括
我们使用FabID开发了一种新方法来分析表皮生长因子受体 (EGFR) 的细胞外蛋白相互作用. 这种技术成功地识别了已知的和新的EGFR相互作用体,显示了对连接体和药物治疗的反应.
科学领域:
- 细胞生物学 细胞生物学
- 分子生物学分子生物学
- 生物化学 生物化学
背景情况:
- 像表皮生长因子受体 (EGFR) 这样的受体蛋白通过细胞外蛋白与蛋白相互作用 (exPPI) 中介关键的细胞内信号传递.
- 了解exPPI对于阐明细胞表面受体的生物功能至关重要.
研究的目的:
- 开发和验证一种新的靠近依赖生物化方法,用于分析膜受体蛋白的exPPIs.
- 研究EGFR的exPPI场景及其通过连接体结合和激酶抑制的调制.
主要方法:
- 设计了一种融合蛋白,EGFR-FabID,将生物化酶 (AirID) 与EGFR特异性抗体片段 (Fab) 结合起来.
- 利用EGFR-FabID用于各种细胞系中EGFR细胞外域的靠近依赖生物化.
- 使用液体染色学-质谱学 (LC-MS/MS) 来识别代表 exPPI 的生物化蛋白质.
主要成果:
- 成功确定了许多已知的EGFR相互作用体和参与exPPI的新型候选蛋白.
- 证明已识别的exPPIs是通过表皮生长因子 (EGF) 连接体刺激动态调节的.
- 在使用EGFR激酶抑制剂gefitinib治疗后观察到exPPI的显著变化.
结论:
- 基于FabID的近距离标签是一种有效的策略,用于对细胞表面受体进行公正的exPPI分析.
- 这种方法提供了对EGFR介导的信号通路及其通过外部刺激和药理学剂的调节的洞察.
- 这些发现凸显了FabID在药物发现和理解受体-连接体-药物相互作用方面的实用性.
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相关概念视频
Protein-protein Interfaces
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Protein Networks
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
