Ontology highlight
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PROVIDER: PRJNA994481 | ENA |
REPOSITORIES: ENA
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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:Compilation fo whole genome gene expression changes in Staphylococcus aureus USA300 LAC cultures grown in the presence of vehicle or the anti-gout drug benzbromarone. The drug was intially screened as effective against the agr quorum sensing system in Staphylococcus aureus AH1677.
2014-03-19 | GSE55980 | GEO
Project description:Heinemann2005 - Genome-scale reconstruction
of Staphylococcus aureus (iMH551)
This model is described in the article:
In silico genome-scale
reconstruction and validation of the Staphylococcus aureus
metabolic network.
Heinemann M, Kümmel A,
Ruinatscha R, Panke S.
Biotechnol. Bioeng. 2005 Dec; 92(7):
850-864
Abstract:
A genome-scale metabolic model of the Gram-positive,
facultative anaerobic opportunistic pathogen Staphylococcus
aureus N315 was constructed based on current genomic data,
literature, and physiological information. The model comprises
774 metabolic processes representing approximately 23% of all
protein-coding regions. The model was extensively validated
against experimental observations and it correctly predicted
main physiological properties of the wild-type strain, such as
aerobic and anaerobic respiration and fermentation. Due to the
frequent involvement of S. aureus in hospital-acquired
bacterial infections combined with its increasing antibiotic
resistance, we also investigated the clinically relevant
phenotype of small colony variants and found that the model
predictions agreed with recent findings of proteome analyses.
This indicates that the model is useful in assisting future
experiments to elucidate the interrelationship of bacterial
metabolism and resistance. To help directing future studies for
novel chemotherapeutic targets, we conducted a large-scale in
silico gene deletion study that identified 158 essential
intracellular reactions. A more detailed analysis showed that
the biosynthesis of glycans and lipids is rather rigid with
respect to circumventing gene deletions, which should make
these areas particularly interesting for antibiotic
development. The combination of this stoichiometric model with
transcriptomic and proteomic data should allow a new quality in
the analysis of clinically relevant organisms and a more
rationalized system-level search for novel drug targets.
This model is hosted on
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and identified by:
MODEL1507180072.
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2015-07-30 | MODEL1507180072 | BioModels
Project description:We used the next generation sequencing method to profile gene expression changes in cutaneous T effectors isolated from mice with early colonization with Staphylococcus aureus or Staphylococcus epidermidis
2018-12-25 | GSE114398 | GEO
Project description:RNA sequencing of whole skin from neonatal mice colonized with Staphlyococcus epidermidis versus Staphylococcus aureus
2019-11-11 | GSE130986 | GEO
Project description:Compilation fo whole genome gene expression changes in Staphylococcus aureus USA300 LAC cultures grown in the presence of vehicle or the anti-gout drug benzbromarone. The drug was intially screened as effective against the agr quorum sensing system in Staphylococcus aureus AH1677. A microarray study using total RNA harvested from three cultures of Staphylococcus aureus USA300 LAC plus vehicle control and three cultures of Staphylococcus aureus USA300 LAC plus 12 uM benzbromarone.
2014-03-19 | E-GEOD-55980 | biostudies-arrayexpress
Project description:Analysis of transcriptional profiles in whole blood from patients with Staphylococcus aureus infection. The hypothesis tested is that transcriptional profile heterogeneity will reflect patient clinical heterogeneity.
2012-04-04 | GSE30119 | GEO
Project description:BACKGROUND: Meticillin-resistant Staphylococcus aureus (MRSA) infections remain important medical and veterinary challenges. The MRSA isolated from dogs and cats typically belong to dominant hospital-associated clones, in the UK mostly EMRSA-15 (CC22 SCCmecIV), suggesting original human-to-animal transmission. Nevertheless, little is known about host-specific genetic variation within the same S. aureus lineage. HYPOTHESIS/OBJECTIVES: To identify host-specific variation amongst MRSA CC22 SCCmecIV by comparing isolates from pets with those from in-contact humans using whole-genome microarray. METHODS: Six pairs of MRSA CC22 SCCmecIV from human carriers (owners and veterinary staff) and their respective infected in-contact pets were compared using a 62-strain whole-genome S. aureus microarray (SAM-62). The presence of putative host-specific genes was subsequently determined in a larger number of human (n = 47) and pet isolates (n = 93) by PCR screening. RESULTS: Variation in mobile genetic elements (MGEs) occurred frequently and appeared largE: The variation found amongst MGEs highlights that genetic adaptation in MRSA continues. However, host-specific MGEs were not detected, which supports the hypothesis that pets may not be natural hosts of MRSA CC22 and emphasizes that rigorous hygiene measures are critical to prevent contamination and infection of dogs and cats. The host specificity of individual heavy-metal resistance genes warrants further investigation into different selection pressures in humans and animals.
2013-11-02 | E-BUGS-138 | biostudies-arrayexpress