Multiplexed Proximity Biotinylation Coupled to Mass Spectrometry for Defining Integrin Adhesion Complexes
Megan R Chastney1, Craig Lawless1, Martin J Humphries1
1Faculty of Biology, Medicine & Health, Wellcome Centre for Cell-Matrix Research, Manchester Academic Health Science Centre, University of Manchester, Michael Smith Building, Oxford Road, Manchester, United Kingdom.
Current Protocols in Cell Biology
|August 25, 2020
Summary
Proximity biotinylation using BioID effectively maps protein interactions in integrin adhesion complexes (IACs). This method identifies novel interactors and reveals complex architecture, aiding in understanding cellular structures.
Area of Science:
- Cell Biology
- Biochemistry
Background:
- Traditional methods struggle with insoluble and transient proteins in complexes.
- Integrin adhesion complexes (IACs) link the plasma membrane to the actin cytoskeleton.
- Understanding IAC architecture is crucial for cellular processes.
Purpose of the Study:
- To apply BioID proximity biotinylation to study IACs.
- To identify novel proximal interactors of IACs.
- To gain insights into IAC architecture and protein network topology.
Main Methods:
- Utilized BioID proximity-dependent biotinylation.
- Employed multiple BioID baits for complex-wide annotation.
- Performed label-free quantitative mass spectrometry for protein analysis.
- Conducted bioinformatic analyses for network interrogation.
Main Results:
- Successfully mapped IAC-proximal proteins.
- Identified novel interactors and provided spatial annotation.
- Enabled insights into IAC architecture and protein network topology.
- Established protocols for BioID application in IAC studies.
Conclusions:
- BioID is a powerful technique for studying protein complexes like IACs.
- This approach facilitates the discovery of novel interactors and understanding of complex organization.
- The described methods provide a framework for future proximity interactome studies.
Keywords:
BioIDcell-extracellular matrix adhesionintegrin adhesion complexesmass spectrometryproximity-dependent labeling

