Staphylococcus aureus
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB16052 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR484048_1.fastq.gz | Fastqsanger.gz | |||
| DRR484048_2.fastq.gz | Fastqsanger.gz | |||
| DRR484049_1.fastq.gz | Fastqsanger.gz | |||
| DRR484049_2.fastq.gz | Fastqsanger.gz | |||
| DRR484050_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 906 |
Similar Datasets
Project description:Staphylococcus aureus is a high-priority pathogen causing severe infections with high morbidity and mortality worldwide. Many S. aureus strains are methicillin-resistant (MRSA) or even multi-drug resistant. It is one of the most successful and prominent modern pathogens. An effective fight against S. aureus infections requires novel targets for antimicrobial and antistaphylococcal therapies. Recent advances in whole-genome sequencing and high-throughput techniques facilitate the generation of genome-scale metabolic models (GEMs). Among the multiple applications of GEMs is drug-targeting in pathogens. Hence, comprehensive and predictive metabolic reconstructions of S. aureus could facilitate the identification of novel targets for antimicrobial therapies. This review aims at giving an overview of all available GEMs of multiple S. aureus strains. We downloaded all 114 available GEMs of S. aureus for further analysis. The scope of each model was evaluated, including the number of reactions, metabolites, and genes.Furthermore, all models were quality-controlled using Mᴇᴍᴏᴛᴇ, an open-source application with standardized metabolic tests. Growth capabilities and model similarities were examined. This review should lead as a guide for choosing the appropriate GEM for a given research question. With the information about the availability, the format, and the strengths and potentials of each model, one can either choose an existing model or combine several models to create models with even higher predictive values. This facilitates model-driven discoveries of novel antimicrobial targets to fight multi-drug resistant S. aureus strains.
2022-02-16 | MODEL2007110001 | BioModels
Project description:Staphylococcus aureus is a high-priority pathogen causing severe infections with high morbidity and mortality worldwide. Many S. aureus strains are methicillin-resistant (MRSA) or even multi-drug resistant. It is one of the most successful and prominent modern pathogens. An effective fight against S. aureus infections requires novel targets for antimicrobial and antistaphylococcal therapies. Recent advances in whole-genome sequencing and high-throughput techniques facilitate the generation of genome-scale metabolic models (GEMs). Among the multiple applications of GEMs is drug-targeting in pathogens. Hence, comprehensive and predictive metabolic reconstructions of S. aureus could facilitate the identification of novel targets for antimicrobial therapies. This review aims at giving an overview of all available GEMs of multiple S. aureus strains. We downloaded all 114 available GEMs of S. aureus for further analysis. The scope of each model was evaluated, including the number of reactions, metabolites, and genes. Furthermore, all models were quality-controlled using Mᴇᴍᴏᴛᴇ, an open-source application with standardized metabolic tests. Growth capabilities and model similarities were examined. This review should lead as a guide for choosing the appropriate GEM for a given research question. With the information about the availability, the format, and the strengths and potentials of each model, one can either choose an existing model or combine several models to create models with even higher predictive values. This facilitates model-driven discoveries of novel antimicrobial targets to fight multi-drug resistant S. aureus strains.
2022-02-16 | MODEL2007150001 | BioModels
Project description:Staphylococcus aureus is a high-priority pathogen causing severe infections with high morbidity and mortality worldwide. Many S. aureus strains are methicillin-resistant (MRSA) or even multi-drug resistant. It is one of the most successful and prominent modern pathogens. An effective fight against S. aureus infections requires novel targets for antimicrobial and antistaphylococcal therapies. Recent advances in whole-genome sequencing and high-throughput techniques facilitate the generation of genome-scale metabolic models (GEMs). Among the multiple applications of GEMs is drug-targeting in pathogens. Hence, comprehensive and predictive metabolic reconstructions of S. aureus could facilitate the identification of novel targets for antimicrobial therapies. This review aims at giving an overview of all available GEMs of multiple S. aureus strains. We downloaded all 114 available GEMs of S. aureus for further analysis. The scope of each model was evaluated, including the number of reactions, metabolites, and genes.Furthermore, all models were quality-controlled using Mᴇᴍᴏᴛᴇ, an open-source application with standardized metabolic tests. Growth capabilities and model similarities were examined. This review should lead as a guide for choosing the appropriate GEM for a given research question. With the information about the availability, the format, and the strengths and potentials of each model, one can either choose an existing model or combine several models to create models with even higher predictive values. This facilitates model-driven discoveries of novel antimicrobial targets to fight multi-drug resistant S. aureus strains.
2022-02-16 | MODEL2007150002 | BioModels
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
2007-06-15 | GSE8135 | GEO
Project description:Cervimycins A‒D are natural products of Streptomyces tendae HKI 0179 with promising activity against multidrug resistant staphylococci and vancomycin resistant enterococci. To initiate mode of action studies, we selected cervimycin C and D resistant (CmR) Staphylococcus aureus strains. Genome sequencing of CmR mutants revealed amino acid exchanges in the essential histidine kinase WalK, the Clp protease proteolytic subunit ClpP or the Clp ATPase ClpC, and the heat shock protein DnaK. Proteomic analysis revealed massive alterations in CmR-02 (amino acid exchanges: ClpP-I29F, DnaK-A112P, WalK-A243V) compared to the parent strain S. aureus SG511 Berlin, with major modifications in the heat shock regulon, the metal ion homeostasis and the carbohydrate metabolism. These effects were alleviated in the antibiotic susceptible suppressor mutant 02REV (amino acid exchanges: ClpP-I29F/M31I, WalK-A243V/S191L).
2022-09-22 | PXD034970 | Pride
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 Staphylococcus aureus cells were exposed for 45 minutes to rhein at concentration of 8 µg/ml (1/2à MIC), 6 samples including 3 control samples are analyzed.
2010-06-10 | E-GEOD-8135 | biostudies-arrayexpress
Project description:Background: Staphylococcus aureus is a major pathogen of humans and animals. Host genetics influence the susceptibility to S. aureus infections, and genes determining infection outcome remain to be identified. Here, we used outbred animals from a divergent selection on susceptibility towards Staphylococcus infection to explore host immunogenetics. Methodology/Principal Findings: We investigated in vitro how mammary epithelial cells (MEC) respond to live S. aureus or S. aureus supernatant and whether MEC from animals with different degree of susceptibility to intra-mammary infections have distinct gene expression profiles. We measured the expression of 15K probes in MEC after each kind of stimulation (living bacteria or culture supernatant) at three different time points (a reference without bacteria, 1 and 5 hours) with ovine Agilent microarrays. Furthermore, a selected number of genes were confirmed by RT-qPCR. Gene signatures of stimulated MEC were obtained and genes involved in the cell cycle and metabolic processes were down-regulated during the kinetics and the apoptosis pathways were highly modified after both live bacteria and supernatant stimulations. Genes involved in immune response were up-regulated over-all after supernatant exposure. Furthermore 23 genes were differentially expressed between the resistant and susceptible animals, two of them were involed in oxidative processes, but the differences between the animals were very few. Conclusion/Significance: we successfully obtained Staphylococcus aureus associated gene expression of ovine MEC in a 5 hour kinetics experiment. The in vitro MEC model does not provide much information on the differences between Staphylococcus resistant and susceptible animals. Keywords: Staphylococcus aureus ; mammary epithelial cells ; mammalian ; transcriptome ; immunity ; mastitis
2012-03-01 | GSE30390 | GEO
Project description:Staphylococcus aureus can infect a wide range of animals and pose as a serious threat to public health by transferring via animals or animal-derived food stuff. Even more importantly, multiple drug resistance development in the bacteria has resulted in therapeutic failure of a number of antibiotics. Therefore by realizing the need of time, this study was designed to investigate the underlying mechanisms of virulence and resistance in S. aureus. After screening through in vivo and in vitro virulence assays and susceptibility test, a highly virulent and multidrug resistant MRSA strain was selected for differential analysis by RNA-seq technology and gene expression results were verified by RT-qPCR. Up-regulation of crucial regulators like sarA and KdpDE seemed to play role in decreased expression of many exotoxin genes while enhanced the adhesion and cell wall protein expression, leading to strong biofilm production in the presence of inactivated agr system. In addition to resistance genes like blaZ, ermC and femA, up-regulation of vraS and multidrug ABC transporter genes contributed to the multidrug resistance in MRSA. Fluoroquinolone resistance was attributed to mutational changes in gyrA and parC genes. Our findings suggested that many virulence and resistance determinants in S. aureus are controlled by complex network of various regulators, and sarA is the most important of those as it adds to pathogenicity of the bacteria and ensures its survival in diverse environment. Further investigations are required to unveil these mechanisms in S. aureus. Four samples were analysed including 2 MRSA1679a test strain and 2 reference strain ATCC1 samples with two replicates of each.
2016-03-02 | E-GEOD-78764 | biostudies-arrayexpress
Project description:Background: Staphylococcus aureus is a major pathogen of humans and animals and rapidly emerging antibiotic-resistant strains have further increased the severity of this health issue. Host genetics influence susceptibility to S. aureus infections, and genes determining infection outcome should be identified to analyze immune-based therapies as an alternative to antibiotics. Here, we used outbred animals from a divergent selection on susceptibility towards Staphylococcus infection to explore host immunogenetics. Methodology/Principal Findings: We investigated how dendritic cells respond to heat-inactivated S. aureus and whether dendritic cells from animals with different degree of susceptibility have distinct gene expression profiles. We measured expression levels of 15K probes from in vitro S. aureus-stimulated bone marrow-derived dendritic cells at three different time points (0, 3 and 8 hours) by using Agilent microarrays. Furthermore, a selected number of genes were confirmed by RT-qPCR. Gene signatures of stimulated DCs were obtained and genes involved in inflammatory process and T helper cell polarization were highly up regulated upon stimulation. Moreover, a set of 204 genes were statistically different between susceptible and resistant animals, and grouped them according to their predisposition to staphylococcal infection. Interestingly, a role of classical pathway of Complement and early regulation of inflammation is observed in the resistant line through over expression of C1q and Ido1 genes respectively. On the opposite, over expression of genes in the IL1R pathway in the susceptible animals was noticed. Furthermore, leucocyte extravasation pathway was also found dominant in the susceptible line. Conclusion/Significance: we successfully obtained Staphylococcus aureus associated gene expression of ovine BM-DC in 8 hour kinetics experiment. Distinct transcriptional profiles of dendritic cells obtained from resistant and susceptible lines may explain susceptibility towards S. aureus infections in a broad context. Keywords: Staphylococcus aureus, dendritic cells, mammalian, transcriptome, immunity, mastitis
2011-10-01 | GSE24448 | GEO