Staphylococcus aureus subsp. aureus RN4220
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA257510 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1539650_1.fastq.gz | Fastqsanger.gz | |||
| SRR1539650_2.fastq.gz | Fastqsanger.gz | |||
| SRR1539660_1.fastq.gz | Fastqsanger.gz | |||
| SRR1539660_2.fastq.gz | Fastqsanger.gz | |||
| SRR1539670_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Staphylococcus aureus is responsible for a substantial number of invasive infections globally each year. These infections are problematic because they are frequently recalcitrant to antibiotic treatment. Antibiotic tolerance, the ability of bacteria to persist despite normally lethal doses of antibiotics, contributes to antibiotic treatment failure in S. aureus infections. To understand how antibiotic tolerance is induced, S. aureus biofilms exposed to multiple anti-staphylococcal antibiotics were examined using both quantitative proteomics and transposon sequencing. These screens indicated that arginine metabolism is involved in antibiotic tolerance within a biofilm and led to the hypothesis that depletion of arginine within S. aureus communities can induce antibiotic tolerance. Consistent with this hypothesis, inactivation of argH, the final gene in the arginine synthesis pathway, induces antibiotic tolerance. Arginine restriction was found to induce antibiotic tolerance via inhibition of protein synthesis. In a mouse skin infection model, an argH mutant has enhanced ability to survive antibiotic treatment with vancomycin, highlighting the relationship between arginine metabolism and antibiotic tolerance during S. aureus infection. Uncovering this link between arginine metabolism and antibiotic tolerance has the potential to open new therapeutic avenues targeting previously recalcitrant S. aureus infections.
2024-07-10 | GSE267626 | GEO
Project description:Staphylococcus aureus experimentally evolved isolates WGS
| PRJNA1055168 | ENA
Project description:Bacterial persister cells are phenotypic variants that exhibit a transient non-growing state and antibiotic tolerance. Here we provide in vitro evidence of Staphylococcus aureus persisters within infected host cells. We show that the bacteria surviving antibiotic treatment within host cells are persisters, displaying biphasic killing and reaching a uniformly non-responsive, non-dividing state when followed at the single-cell level. This phenotype is stable but reversible upon antibiotic removal. Intracellular S. aureus persisters remain metabolically active, but display an altered transcriptomic profile consistent with activation of stress responses, including the stringent response as well as cell-wall stress, SOS and heat-shock responses. These changes are associated with multidrug tolerance after exposure to a single antibiotic. We hypothesize that intracellular S. aureus persisters may constitute a reservoir for relapsing infection, and could contribute to therapeutic failures.
2020-03-25 | GSE139659 | 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
BioModels Database
and identified by:
MODEL1507180072.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180072 | BioModels
Project description:Mastitis in dairy cattle can result from infection by a range of microorganisms but is principally caused by coliform bacteria and gram positive bacteria such as Staphylococcus aureus (S. aureus). The former species are often acquired by environmental contamination while S. aureus is particularly problematic due to its resistance to antibiotic treatments and ability to reside within mammary tissue in a chronic, subclinical state. The transcriptional and translational responses within bovine mammary epithelial tissue subjected to intramammary challenge with S. aureus are poorly characterised, particularly at the earliest stages of infection. A Bovine Innate Immune Microarray was employed to measure changes in gene expression occurring in bovine mammary tissues sampled from three dairy cows after a brief and graded intramammary challenge with a virulent strain of S. aureus. This SuperSeries is composed of the SubSeries listed below.
2010-05-20 | GSE9685 | GEO
Project description:Mastitis in dairy cattle can result from infection by a range of microorganisms but is principally caused by coliform bacteria and gram positive bacteria such as Staphylococcus aureus (S. aureus). The former species are often acquired by environmental contamination while S. aureus is particularly problematic due to its resistance to antibiotic treatments and ability to reside within mammary tissue in a chronic, subclinical state. The transcriptional and translational responses within bovine mammary epithelial tissue subjected to intramammary challenge with S. aureus are poorly characterised, particularly at the earliest stages of infection. A Bovine Innate Immune Microarray was employed to measure changes in gene expression occurring in bovine mammary tissues sampled from three dairy cows after a brief and graded intramammary challenge with a virulent strain of S. aureus. Keywords: dose response, disease state analysis
2010-05-20 | GSE9628 | GEO
Project description:Mastitis in dairy cattle can result from infection by a range of microorganisms but is principally caused by coliform bacteria and gram positive bacteria such as Staphylococcus aureus (S. aureus). The former species are often acquired by environmental contamination while S. aureus is particularly problematic due to its resistance to antibiotic treatments and ability to reside within mammary tissue in a chronic, subclinical state. The transcriptional and translational responses within bovine mammary epithelial tissue subjected to intramammary challenge with S. aureus are poorly characterised, particularly at the earliest stages of infection. A Bovine Innate Immune Microarray was employed to measure changes in gene expression occurring in bovine mammary tissues sampled from three dairy cows after a brief and graded intramammary challenge with a virulent strain of S. aureus. Keywords: dose response, disease state analysis
2010-05-20 | GSE9681 | GEO
Project description:Mastitis in dairy cattle can result from infection by a range of microorganisms but is principally caused by coliform bacteria and gram positive bacteria such as Staphylococcus aureus (S. aureus). The former species are often acquired by environmental contamination while S. aureus is particularly problematic due to its resistance to antibiotic treatments and ability to reside within mammary tissue in a chronic, subclinical state. The transcriptional and translational responses within bovine mammary epithelial tissue subjected to intramammary challenge with S. aureus are poorly characterised, particularly at the earliest stages of infection. A Bovine Innate Immune Microarray was employed to measure changes in gene expression occurring in bovine mammary tissues sampled from three dairy cows after a brief and graded intramammary challenge with a virulent strain of S. aureus. Keywords: dose response, disease state analysis
2010-05-20 | GSE9680 | GEO
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:Becker2005 - Genome-scale metabolic network
of Staphylococcus aureus (iSB619)
This model is described in the article:
Genome-scale reconstruction
of the metabolic network in Staphylococcus aureus N315: an
initial draft to the two-dimensional annotation.
Becker SA, Palsson BØ.
BMC Microbiol. 2005; 5: 8
Abstract:
BACKGROUND: Several strains of bacteria have sequenced and
annotated genomes, which have been used in conjunction with
biochemical and physiological data to reconstruct genome-scale
metabolic networks. Such reconstruction amounts to a
two-dimensional annotation of the genome. These networks have
been analyzed with a constraint-based formalism and a variety
of biologically meaningful results have emerged. Staphylococcus
aureus is a pathogenic bacterium that has evolved resistance to
many antibiotics, representing a significant health care
concern. We present the first manually curated elementally and
charge balanced genome-scale reconstruction and model of S.
aureus' metabolic networks and compute some of its properties.
RESULTS: We reconstructed a genome-scale metabolic network of
S. aureus strain N315. This reconstruction, termed iSB619,
consists of 619 genes that catalyze 640 metabolic reactions.
For 91% of the reactions, open reading frames are explicitly
linked to proteins and to the reaction. All but three of the
metabolic reactions are both charge and elementally balanced.
The reaction list is the most complete to date for this
pathogen. When the capabilities of the reconstructed network
were analyzed in the context of maximal growth, we formed
hypotheses regarding growth requirements, the efficiency of
growth on different carbon sources, and potential drug targets.
These hypotheses can be tested experimentally and the data
gathered can be used to improve subsequent versions of the
reconstruction. CONCLUSION: iSB619 represents comprehensive
biochemically and genetically structured information about the
metabolism of S. aureus to date. The reconstructed metabolic
network can be used to predict cellular phenotypes and thus
advance our understanding of a troublesome pathogen.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180070.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-10-15 | MODEL1507180070 | BioModels