Co-fractionation/mass spectrometry to identify protein complexes
Claire D McWhite1, Ophelia Papoulas1, Kevin Drew1
1Department of Molecular Biosciences and the Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA.
STAR Protocols
|March 22, 2021
Summary
Co-fractionation/mass spectrometry (CF/MS) is a versatile technique for identifying protein interactions across diverse organisms. This study presents optimized protocols and a computational pipeline for robust CF/MS analysis.
Area of Science:
- Biochemistry
- Proteomics
- Molecular Biology
Background:
- Co-fractionation/mass spectrometry (CF/MS) is a powerful method for detecting protein-protein physical associations.
- Existing CF/MS methods can be limited by the need for specific antibodies or tags, and may not be universally applicable across diverse biological samples.
Purpose of the Study:
- To present adaptable protocols for mass spectrometry (MS) sample preparation for CF/MS analysis.
- To introduce a computational pipeline (cfmsflow) to facilitate the application of CF/MS.
- To demonstrate the broad applicability of the developed CF/MS approach across various organisms.
Main Methods:
- Two distinct protocols for MS sample preparation were developed, accommodating both low and high salt conditions.
- A computational pipeline, cfmsflow, was created to process and analyze CF/MS data.
- The protocols were validated using CF/MS on over 16 diverse organisms, including plants and animals.
Main Results:
- The presented protocols and cfmsflow pipeline enable successful application of CF/MS.
- The methodology is shown to be effective across a wide range of biological systems, confirming its versatility.
- The approach does not require protein-specific antibodies or epitope tags, enhancing its general utility.
Conclusions:
- The developed CF/MS protocols and computational pipeline offer a flexible and powerful approach for identifying protein physical associations.
- This methodology is broadly applicable to any tissue or organism, significantly advancing proteomic interaction studies.
- The study provides a comprehensive framework for researchers to implement CF/MS effectively.
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