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Updated: Aug 28, 2025

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
Published on: July 6, 2014
Endogenous protein interactomes resolved through immunoprecipitation-coupled quantitative proteomics in cell lines
Raman Kumar1, Karthik S Kamath2, Luke Carroll2
1Adelaide Medical School and the Robinson Research Institute, University of Adelaide, Adelaide, SA 5005, Australia.
This study presents an adaptable immunoprecipitation (IP) protocol for identifying protein-protein interactions. The method uses quantitative proteomics to discover the full protein interactome, offering a robust tool for biological research.
Area of Science:
- Proteomics
- Molecular Biology
- Biochemistry
Background:
- Identifying protein-protein interactions is crucial for understanding cellular mechanisms.
- Endogenous immunoprecipitation (IP) is a key technique for studying these interactions in a native context.
Purpose of the Study:
- To describe an adaptable immunoprecipitation protocol for identifying endogenous protein interactions.
- To detail a quantitative proteomics workflow for unbiased interactome discovery.
Main Methods:
- Utilized antibody-based immunoprecipitation of target proteins.
- Employed quantitative proteomics including tryptic digestion, Tandem Mass Tag (TMT) labeling, and peptide fractionation.
- Performed liquid chromatography-mass spectrometry (LC-MS) for peptide identification and quantification.
- Included computational and statistical analysis for data interpretation.
Main Results:
- Successfully established an adaptable IP protocol for endogenous proteins.
- Developed a quantitative proteomics workflow enabling unbiased interactome identification.
- The protocol facilitates comprehensive analysis of protein complexes.
Conclusions:
- The described IP and quantitative proteomics workflow provides a powerful and adaptable method for discovering protein interactomes.
- This approach enhances the biological relevance of protein interaction studies.
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