Back to Search Start Over

Mapping Differential Protein-Protein Interaction Networks using Affinity Purification Mass Spectrometry.

Authors :
Kaushal, Prashant
Kaushal, Prashant
Ummadi, Manisha R
Jang, Gwendolyn M
Delgado, Yennifer
Makanani, Sara K
Blanc, Sophie F
Winters, Decan M
Xu, Jiewei
Polacco, Benjamin
Zhou, Yuan
Stevenson, Erica
Eckhardt, Manon
Zuliani-Alvarez, Lorena
Kaake, Robyn
Swaney, Danielle L
Krogan, Nevan
Bouhaddou, Mehdi
Kaushal, Prashant
Kaushal, Prashant
Ummadi, Manisha R
Jang, Gwendolyn M
Delgado, Yennifer
Makanani, Sara K
Blanc, Sophie F
Winters, Decan M
Xu, Jiewei
Polacco, Benjamin
Zhou, Yuan
Stevenson, Erica
Eckhardt, Manon
Zuliani-Alvarez, Lorena
Kaake, Robyn
Swaney, Danielle L
Krogan, Nevan
Bouhaddou, Mehdi
Source :
ArXiv; vol 5, iss 05-24; 2331-8422
Publication Year :
2024

Abstract

Proteins congregate into complexes to perform fundamental cellular functions. Phenotypic outcomes, in health and disease, are often mechanistically driven by the remodeling of protein complexes by protein-coding mutations or cellular signaling changes in response to molecular cues. Here, we present an affinity purification-mass spectrometry (APMS) proteomics protocol to quantify and visualize global changes in protein-protein interaction (PPI) networks between pairwise conditions. We describe steps for expressing affinity-tagged "bait" proteins in mammalian cells, identifying purified protein complexes, quantifying differential PPIs, and visualizing differential PPI networks. Specifically, this protocol details steps for designing affinity-tagged "bait" gene constructs, transfection, affinity purification, mass spectrometry sample preparation, data acquisition, database search, data quality control, PPI confidence scoring, cross-run normalization, statistical data analysis, and differential PPI visualization. Our protocol discusses caveats and limitations with applicability across cell types and biological areas. For complete details on the use and execution of this protocol, please refer to Bouhaddou et al. 20231.

Details

Database :
OAIster
Journal :
ArXiv; vol 5, iss 05-24; 2331-8422
Notes :
application/pdf, ArXiv vol 5, iss 05-24 2331-8422
Publication Type :
Electronic Resource
Accession number :
edsoai.on1449590423
Document Type :
Electronic Resource