Responsive Plasmonic Reporters Decrypt Nanoparticle-Induced Single Membrane Protein Degradation

Nanoparticle-mediated degradation of proteins of interest has recently emerged as a powerful tool in biomedical research and the pharmaceutical industry. Nevertheless, the limited understanding of dynamic processes poses challenges in further improving the efficacy. Herein, we develop responsive plasmonic nanoprobe systems capable of discrimination between membrane protein monomer and dimerization states, enabling the direct observation of membrane protein degradation during nanoparticle endocytosis. The nanoprobes are engineered with precisely controlled aptamer modifications through asymmetric spherical nucleic acid functionalization to ensure low-valence protein binding. Upon ligand stimulation, protein dimerization triggers proximity-induced DNA hybridization between nanoprobe and protein complexes, resulting in distinctive plasmonic coupling signals. Using the cellular mesenchymal to epithelial transition factor (Met) as a model protein, we demonstrate differential endocytosis kinetics between monomeric and dimeric states, with dimers exhibiting enhanced endocytic efficiency. Further investigation into downstream protein expression and cellular responses reveals an enhanced phosphorylated Met (p-Met) degradation process by the aggregation state, providing insights into the relationship between protein oligomerization and nanoparticle-mediated degradation efficiency. These findings offer valuable theoretical foundations for designing targeted protein degradation platforms based on nanoparticles.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-10-14
DOI
https://doi.org/10.1021/jacs.5c12343
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
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article

Responsive Plasmonic Reporters Decrypt Nanoparticle-Induced Single Membrane Protein Degradation

Jie Li, Jing Zhao, Xiuxiu Wang, Chen Wang et al.
Journal of the American Chemical Society
Advanced biosensing and bioanalysis techniques
article

Responsive Plasmonic Reporters Decrypt Nanoparticle-Induced Single Membrane Protein Degradation

Jie Li, Jing Zhao, Xiuxiu Wang, Chen Wang, Jin Wang, Zhao Zhang, Jing Tan
article en

Abstract

Nanoparticle-mediated degradation of proteins of interest has recently emerged as a powerful tool in biomedical research and the pharmaceutical industry. Nevertheless, the limited understanding of dynamic processes poses challenges in further improving the efficacy. Herein, we develop responsive plasmonic nanoprobe systems capable of discrimination between membrane protein monomer and dimerization states, enabling the direct observation of membrane protein degradation during nanoparticle endocytosis. The nanoprobes are engineered with precisely controlled aptamer modifications through asymmetric spherical nucleic acid functionalization to ensure low-valence protein binding. Upon ligand stimulation, protein dimerization triggers proximity-induced DNA hybridization between nanoprobe and protein complexes, resulting in distinctive plasmonic coupling signals. Using the cellular mesenchymal to epithelial transition factor (Met) as a model protein, we demonstrate differential endocytosis kinetics between monomeric and dimeric states, with dimers exhibiting enhanced endocytic efficiency. Further investigation into downstream protein expression and cellular responses reveals an enhanced phosphorylated Met (p-Met) degradation process by the aggregation state, providing insights into the relationship between protein oligomerization and nanoparticle-mediated degradation efficiency. These findings offer valuable theoretical foundations for designing targeted protein degradation platforms based on nanoparticles.

Journal of the American Chemical SocietyVol. 147(42)
Nanjing Normal University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), China Academy of Chinese Medical Sciences (CN), Guang’anmen Hospital (CN), Ecologie microbienne (FR), State Key Laboratory of Microbial Technology, Nanjing University (CN)
Openalex Percentile: Top 74%
Advanced biosensing and bioanalysis techniques
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