Project description:Analysis of Staphylococcus aureus treated by Tanreqing. Staphylococcus aureus cells are evaluated with RNA-seq to understand the genes affected by this antibacterial agent. Our results provide new vision on the mode of action by Tanreqing.
Project description:Analysis of Staphylococcus aureus treated by CDCA. Staphylococcus aureus cells are evaluated with RNA-seq to understand the genes affected by this antibacterial agent. Our results provide new vision on the mode of action by CDCA.
Project description:Beta-lactones have recently been introduced as the first selective ClpP inhibitors that attenuate virulence of both sensitive Staphylococcus aureus and multiresistant strains (MRSA). Although previous knockout studies showed that ClpP is essential for S. aureus alpha-toxin production a link between beta-lactone inhibition and molecular virulence mechanisms has been lacking so far. We here perform a chemical-proteomic approach to elucidate anti-virulence pathways. First, we demonstrate by gel-free activity-based protein profiling that ClpP is the predominant target of beta-lactones. Only a few off-targets were discovered, which, unlike ClpP, were not involved in the reduction of alpha-toxin expression. Second, in-depth mechanistic insight was provided by a full proteomic comparison between lactone treated and untreated S. aureus cells. Quantitative mass spectrometric analysis revealed a strong up-regulation of Rot and a corresponding down-regulation of alpha-toxin, providing the first direct connection between the lactone-dependent phenotype and a corresponding cellular mechanism. By building up a quantitative virulence regulation network, we visualize the impact of ClpP inhibition in a systems biology context. Interestingly, a lack of in vitro Rot degradation by either ClpXP or ClpCP calls for an indirect mode of action that may involve ClpX-mediated RNA signaling and feed-back circuits.
Project description:The aim of this study was to explore the mode of action of GO, via an in-depth proteomics analysis, on the protein expression of targeted bacteria. For this purpose, samples of Staphylococcus aureus were grown in the presence of GO and samples were collected from different growth phases to examine cell viability and to analyze the changes in protein expression.
Project description:Staphylococcus aureus is one of the most important pathogens in humans and animals, multiply resistant strains are increasingly widespread, new agents are needed for the treatment of S. aureus. Rhein, a natural plant product, has potential antimicrobial activity against Staphylococcus aureus. We employed Affymetrix Staphylococcus aureus GeneChipsTM arrays to investigate the global transcriptional profiling of Staphylococcus aureus ATCC25923 treated with rhein. Results provided insight into mechanisms involved in rhein - Staphylococcus aureus interactions. Keywords: rhein response
Project description:To elucidate the antivirulent lactone U1 mode of action, next generation sequencing was applied to analyze the transcriptome of NCTC 8325 cells treated with either compound or DMSO as control.
Project description:Staphylococcus aureus (S. aureus) is an important human and animal pathogen, multiply resistant strains are increasingly widespread, new agents are needed for the treatment of S. aureus. magnolol has potent antimicrobial activity against S. aureus. We employed Affymetrix Staphylococcus aureus GeneChipsTM arrays to investigate the global transcriptional profiling of Staphylococcus aureus ATCC25923 treated with magnolol. Keywords: gene expression array-based, count
Project description:Staphylococcus aureus (S. aureus) is an important human and animal pathogen, multiply resistant strains are increasingly widespread, new agents are needed for the treatment of S. aureus. sodium houttuyfonate has potent antimicrobial activity against S. aureus. We employed Affymetrix Staphylococcus aureus GeneChipsTM arrays to investigate the global transcriptional profiling of Staphylococcus aureus ATCC25923 treated with sodium houttuyfonate. Keywords: gene expression array-based, count
