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© Michel Huerre
Coupe histologique de foie de patient atteint d'une hépatite C chronique active avec infiltrat (opacité) folliculaire (lymphocytes) (Grossissement X 400). L'hépatite C chronique peut être à l'origine de cirrhose et cancer du foie
Publication : Journal of visualized experiments : JoVE

A comparative approach to characterize the landscape of host-pathogen protein-protein interactions

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Journal of visualized experiments : JoVE - 18 Jul 2013

Muller M, Cassonnet P, Favre M, Jacob Y, Demeret C

Link to Pubmed [PMID] – 23893119

J Vis Exp 2013;(77):e50404

Capture d’écran 2015-09-03 à 12.40.01Significant efforts were gathered to generate large-scale comprehensive protein-protein interaction network maps. This is instrumental to understand the pathogen-host relationships and was essentially performed by genetic screenings in yeast two-hybrid systems. The recent improvement of protein-protein interaction detection by a Gaussia luciferase-based fragment complementation assay now offers the opportunity to develop integrative comparative interactomic approaches necessary to rigorously compare interaction profiles of proteins from different pathogen strain variants against a common set of cellular factors. This paper specifically focuses on the utility of combining two orthogonal methods to generate protein-protein interaction datasets: yeast two-hybrid (Y2H) and a new assay, high-throughput Gaussia princeps protein complementation assay (HT-GPCA) performed in mammalian cells. A large-scale identification of cellular partners of a pathogen protein is performed by mating-based yeast two-hybrid screenings of cDNA libraries using multiple pathogen strain variants. A subset of interacting partners selected on a high-confidence statistical scoring is further validated in mammalian cells for pair-wise interactions with the whole set of pathogen variants proteins using HT-GPCA. This combination of two complementary methods improves the robustness of the interaction dataset, and allows the performance of a stringent comparative interaction analysis. Such comparative interactomics constitute a reliable and powerful strategy to decipher any pathogen-host interplays.

http://www.ncbi.nlm.nih.gov/pubmed/23893119