Parallel Exploration of Interaction Space by BioID and Affinity Purification Coupled to Mass Spectrometry

Author(s):  
Geoffrey G. Hesketh ◽  
Ji-Young Youn ◽  
Payman Samavarchi-Tehrani ◽  
Brian Raught ◽  
Anne-Claude Gingras
2010 ◽  
Vol 8 (1) ◽  
pp. 70-73 ◽  
Author(s):  
Hyungwon Choi ◽  
Brett Larsen ◽  
Zhen-Yuan Lin ◽  
Ashton Breitkreutz ◽  
Dattatreya Mellacheruvu ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Stefan Kalkhof ◽  
Stefan Schildbach ◽  
Conny Blumert ◽  
Friedemann Horn ◽  
Martin von Bergen ◽  
...  

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.


2013 ◽  
Vol 10 (12) ◽  
pp. 1239-1245 ◽  
Author(s):  
Jean-Philippe Lambert ◽  
Gordana Ivosev ◽  
Amber L Couzens ◽  
Brett Larsen ◽  
Mikko Taipale ◽  
...  

2021 ◽  
Author(s):  
Ankitha Shetty ◽  
Santosh D. Bhosale ◽  
Subhash Kumar Tripathi ◽  
Tanja Buchacher ◽  
Rahul Biradar ◽  
...  

Dysregulated function of Th17 cells has implications in immunodeficiencies and autoimmune disorders. Th17 cell-differentiation is orchestrated by a complex network of transcription factors, including several members of the activator protein (AP-1) family. Among these, FOSL1 and FOSL2 influence the effector responses of Th17 cells. However, the molecular mechanisms underlying their functions are unclear, owing to the poorly characterized protein interaction networks of these factors. Here, we establish the first interactomes of FOSL1 and FOSL2 in human Th17 cells, using affinity purification–mass spectrometry analysis. In addition to the known JUN proteins, we identified several novel binding partners of FOSL1 and FOSL2. Gene ontology analysis found a major fraction of these interactors to be associated with RNA binding activity, which suggests new mechanistic links. Intriguingly, 29 proteins were found to share interactions with FOSL1 and FOSL2, and these included key regulators of Th17-fate. We further validated the binding partners identified in this study by using parallel reaction monitoring targeted mass spectrometry and other methods. Our study provides key insights into the interaction-based signaling mechanisms of FOSL1 and FOSL2 that potentially govern Th17 cell-differentiation and associated pathologies.


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