SAINTq: Scoring protein-protein interactions in affinity purification - mass spectrometry experiments with fragment or peptide intensity data

PROTEOMICS ◽  
2016 ◽  
Vol 16 (15-16) ◽  
pp. 2238-2245 ◽  
Author(s):  
Guoci Teo ◽  
Hiromi Koh ◽  
Damian Fermin ◽  
Jean-Philippe Lambert ◽  
James D.R. Knight ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Protein Interactions ◽  
Affinity Purification ◽  
Intensity Data ◽  
Protein Protein Interactions ◽  
Affinity Purification Mass Spectrometry

scholarly journals Affinity purification–mass spectrometry and network analysis to understand protein-protein interactions

2014 ◽  
Vol 9 (11) ◽  
pp. 2539-2554 ◽  
Author(s):  
John H Morris ◽  
Giselle M Knudsen ◽  
Erik Verschueren ◽  
Jeffrey R Johnson ◽  
Peter Cimermancic ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Network Analysis ◽  
Protein Interactions ◽  
Affinity Purification ◽  
Protein Protein Interactions ◽  
Affinity Purification Mass Spectrometry

scholarly journals PIPINO: A Software Package to Facilitate the Identification of Protein-Protein Interactions from Affinity Purification Mass Spectrometry Data

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Stefan Kalkhof ◽  
Stefan Schildbach ◽  
Conny Blumert ◽  
Friedemann Horn ◽  
Martin von Bergen ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Protein Interactions ◽  
Isotope Labeling ◽  
Affinity Purification ◽  
Interaction Network ◽  
Mass Spectrometry Data ◽  
Protein Protein Interactions ◽  
Protein Protein Interaction ◽  
Binding Behavior ◽  
Bona Fide

The functionality of most proteins is regulated by protein-protein interactions. Hence, the comprehensive characterization of the interactome is the next milestone on the path to understand the biochemistry of the cell. A powerful method to detect protein-protein interactions is a combination of coimmunoprecipitation or affinity purification with quantitative mass spectrometry. Nevertheless, both methods tend to precipitate a high number of background proteins due to nonspecific interactions. To address this challenge the software Protein-Protein-Interaction-Optimizer (PIPINO) was developed to perform an automated data analysis, to facilitate the selection of bona fide binding partners, and to compare the dynamic of interaction networks. In this study we investigated the STAT1 interaction network and its activation dependent dynamics. Stable isotope labeling by amino acids in cell culture (SILAC) was applied to analyze the STAT1 interactome after streptavidin pull-down of biotagged STAT1 from human embryonic kidney 293T cells with and without activation. Starting from more than 2,000 captured proteins 30 potential STAT1 interaction partners were extracted. Interestingly, more than 50% of these were already reported or predicted to bind STAT1. Furthermore, 16 proteins were found to affect the binding behavior depending on STAT1 phosphorylation such as STAT3 or the importin subunits alpha 1 and alpha 6.

Mapping Protein–Protein Interactions Using Affinity Purification and Mass Spectrometry

2017 ◽  
pp. 231-249 ◽  
Author(s):  
Chin-Mei Lee ◽  
Christopher Adamchek ◽  
Ann Feke ◽  
Dmitri A. Nusinow ◽  
Joshua M. Gendron
Keyword(s):  
Mass Spectrometry ◽  
Protein Interactions ◽  
Affinity Purification ◽  
Protein Protein Interactions
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