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Characterization of Neuronal Lysosome Interactome with Proximity Labeling Proteomics
Published on: June 23, 2022
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APEX Peroxidase-Catalyzed Proximity Labeling and Multiplexed Quantitative Proteomics
1Department of Systems Biology and Department of Cell Biology, Harvard Medical School, Boston, MA, USA. Marian_Kalocsay@hms.harvard.edu.
Methods in Molecular Biology (Clifton, N.J.)
|May 25, 2019
Summary
Peroxidase-catalyzed proximity labeling with APEX2 identifies protein neighbors in vivo. This method, combined with mass spectrometry, tracks dynamic protein interactions and cellular changes.
Area of Science:
- Biochemistry
- Molecular Biology
- Proteomics
Background:
- Peroxidase-catalyzed proximity labeling is a key technique for in vivo protein interaction studies.
- APEX2 enzyme fusions enable the labeling of proteins in a protein's immediate vicinity.
- This method captures a snapshot of the local protein environment.
Purpose of the Study:
- To describe a robust pipeline for proximity-labeled protein enrichment and analysis.
- To enable the study of dynamic protein interaction changes in response to perturbations.
- To facilitate comparative analyses of protein proximity in different biological contexts.
Main Methods:
- Utilizing APEX2 for proximity-dependent biotinylation of nearby proteins.
- Employing denaturing purification with magnetic streptavidin beads.
- Implementing multiplexed quantitative mass spectrometry, including TMT labeling, peptide fractionation, and SPS MS3 analysis.
Main Results:
- Successful enrichment of proximity-labeled proteins under stringent denaturing conditions.
- A comprehensive workflow for sample preparation for quantitative mass spectrometry.
- Demonstrated capability for parallel quantification of hundreds of proteins across multiple conditions and time points.
Conclusions:
- The described method provides a powerful tool for investigating complex protein environments.
- This approach is suitable for studying dynamic changes in protein proximity in perturbed systems.
- Multiplexed quantitative mass spectrometry enhances the capacity for high-throughput proteomic analysis of protein interactions.
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