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Updated: Jan 18, 2026

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
Published on: April 1, 2017
Sensitive and specific affinity purification-mass spectrometry assisted by PafA-mediated proximity labeling
Shihan Luo1, Lijuan Xie2, Lin Yang3
1Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China; Lingang Laboratory, Shanghai 201306, China.
A new proteomic method, APPLE-MS, enhances protein-protein interaction (PPI) detection, especially for weak and membrane-associated interactions. This advance improves interactome mapping for biological discovery and therapeutic targeting.
Area of Science:
- Proteomics
- Molecular Biology
- Biochemistry
Background:
- Affinity purification-mass spectrometry (AP-MS) is crucial for protein-protein interaction (PPI) studies.
- Existing AP-MS methods struggle with weak, transient, and membrane-associated interactions.
Purpose of the Study:
- To develop an advanced proteomic method for sensitive and specific detection of PPIs.
- To overcome limitations of traditional AP-MS for complex biological systems.
Main Methods:
- Introduced Affinity Purification coupled Proximity Labeling-Mass Spectrometry (APPLE-MS).
- Combined Twin-Strep tag enrichment with PafA-mediated proximity labeling.
- Applied APPLE-MS to study SARS-CoV-2 ORF9B mitochondrial interactome, endogenous PIN1, and GLP-1 receptor complexes.
Main Results:
- APPLE-MS demonstrated significantly improved sensitivity and specificity (4.07-fold over AP-MS).
- Revealed dynamic mitochondrial interactome of SARS-CoV-2 ORF9B during antiviral responses.
- Uncovered novel roles for PIN1 in DNA replication and enabled in situ mapping of membrane protein complexes.
Conclusions:
- APPLE-MS is a versatile proteomic tool for comprehensive interactome mapping.
- The method provides physiologically relevant PPI networks, aiding mechanistic discovery.
- Opens new avenues for therapeutic target identification, particularly for membrane proteins.
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