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Searched keyword : Shigella flexneri
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Integration and advanced statistical analyses of complex datasets for host factor identification involved in Salmonella and Shigella intracellular niche formation
Salmonella enterica serovar Typhimurium (S. Tm) and Shigella flexineri actively invade non-phagocytic human epithelial cells in a similar fashion. Both pathogens use bacterial effectors injected through a Type III Secretion System to interfere with host pathways for invasion, survival and proliferation within host cells. Our team has performed different screening approaches to identify subverted host pathways during infection. The wide range of obtained data includes functional data from loss-of-function screens, proteomics datasets of the involved cellular compartments, and transcriptomics data on pathogen-localization dependent gene expression responses. In this project, we aim to implement an analytical bioinformatics approach that integrates the data from our different screen datasets for the identification of the most relevant host pathways implicated in Shigella and S. Tm lifestyles in human epithelial cells.
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