Hub members Have many expertise, covering most of the fields in bioinformatics and biostatistics. You'll find below a non-exhaustive list of these expertise
Searched keyword : Shigella
Related people (0)Sorry nobody has this skill yet...
Related projects (6)
Shigella is an enteroinvasive bacterium that induces bacillary dysentery. It invades human intestinal epithelial cells causing the inflammatory destruction of the colonic epithelium. Our previous work reported that Shigella inhibits the secretion of its host cell (Mounier et al Cell Host Microbes 2012) via several virulent proteins injected by the bacterium such as IpaJ and VirA. These two effectors may have redundant action. Thus, to address the effect of Shigella on the secretome of its host cell and in particular define the precise action of IpaJ and VirA, we conducted a mass spectrometry (MS) analysis on apical (A) and basal (B) secretion of polarized infected human intestinal cells using several strains: wild type (WT), avirulent strain (mxiD) and mutated strains either on virA, ipaJ or both (virAipaJ) and compared to non-infected cells (NI). We have in total 6 infection conditions and we collected apical and basal secretion medium (total 12 MS data). Most of the conditions were done in triplicate. We have now these quantitative MS data (excel file) that gave between 300 (basal secretion) to 1000 proteins (apical secretion) secreted differently among the different conditions. We need your collaboration to analyze our data to: Check whether our protein candidates are in databases of secreted factors Obtain protein clusters of our hits among the 6 conditions used (12 datasets)
Comparative analysis of the virulence plasmids of Shigella Spp. and entero-invasive Escherichia coli
Context. Bacteria of the genus Shigella and strains of entero-invasive Escherichia coli (EIEC) are responsible of bacillary dysentery (shigellosis) in humans. Although (very) closely related to E. coli, the genus Shigella is divided in four "species": S. boydii, S. dysenteriae, S. flexneri and S. sonnei. Most virulence determinants enabling these bacteria to enter into and disseminate within epithelial cells are encoded by a 200-kb virulence plasmid (VP). The first complete sequence of a VP (pWR100 from a S. flexneri strain of serotype 5a) was determined by our laboratory in 2000. The VP contains genes of different origins, as attested by their G+C content ranging from 30 to 60%, traces of four plasmids and a large numbers of various insertions sequences (IS) representing 30-40% of the total sequence (Buchrieser et al., 2000). In addition to IS sequences, the VP carries members of several multigene families (exhibiting over 90% identity). Such repeated sequences are potentially prone to recombination (allelic exchange, gene conversion) and deletion. Based on the analysis of three genes carried by the VP, it has been proposed that, depending of the species / phylogenetic group, there are two forms of the VP (pInvA & pInvB) that were acquired independently in different original E. coli strains. General questions. What are the architectures of the VP from different phylogenetic groups and how different are pInvA and pInvB ? Which genes are conserved in all VP and which genes are unique to some VP ? Did recombinations occur and, if so, where and when ? To answer these questions, a comparative analysis of the genetic organization and gene conservation among the VP from different phylogenetic groups of Shigella/EIEC has been undertaken using the available complete (or presented as such) sequences of 15 VP, including three members for each of five phylogenetic groups (S. boydii, S. dysenteriae 1, S. flexneri, S. sonnei and EIEC).
Shigella species and E. coli are very closely related bacteria belonging to the Enterobacteriaceae family. Phenotypically they are very similar and genotypically they could be considered the same species. The differentiation of Shigella species from E. coli is a significant diagnostic challenge for the clinical microbiology laboratories. They increasingly use maldi-tof mass spectrometry-based microbial identification systems but the latter are currently not able to distinguish these species. As the National Reference Center of E. coli and Shigella, we possess an exhaustive and extensive collection of strains (all serotypes and a wide range of phenotypic profils). We want to use our unique strain collection to propose a highly performant approach for differentiating these bacterial species by MALDI-TOF MS. Success of this study would be incredibly valuable for making an immediate impact on the clinical microbiology diagnosis.
Whole genome sequencing is revolutionizing the surveillance of foodborne and waterborne bacterial pathogens. The speed with which public health laboratories obtain information after the onset of symptoms and the regular sharing of this information between public health laboratories and epidemiologists are critical for the successful use of information to detect outbreaks early and to identify their source. For this purpose, this project aims at providing the most relevant bacterial genomic information in a timely-manner by integrating different validated in silico tools (core genome MLST, CRISPR, O and H molecular serotype, ....) into a single automated analysis pipeline.
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.
Bacteria of Shigella species are responsible for bacillary dysentery (shigellosis) in humans. A characteristic feature of these bacteria, used for identification purposes, is their inability to use lactose as a carbon source, in contrast to the closely related species Escherichia coli. We recently isolated clones of Shigella exhibiting a Lac+ phenotype on Drigalski medium and we are attempting to identify the gene(s) involved in this phenotype.