Staphylococcus haemolyticus JCSC1435
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA12508 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Opportunistic pathogen that affects immunocompromised patients, especially those with liver damage
| PRJNA1430 | ENA
Project description:Opportunistic pathogen that affects immunocompromised patients, especially those with liver damage
| PRJNA349 | ENA
Project description:Causes opportunistic infections in humans
| PRJNA35321 | ENA
Project description:Staphylococcus haemolyticus is a skin commensal emerging as an opportunistic pathogen. Nosocomial isolates of S. haemolyticus are the most antibiotic resistant members of the coagulase negative staphylococci (CoNS), but information about other S.haemolyticus virulence factors is scarce. Bacterial virulence is mediated by membrane vesicles (MVs) which enable secretion and long distance delivery of bacterial effector molecules while protecting the cargo from proteolytic degradation from the environment. We wanted to determine if the MV protein cargo of S.haemolyticus is strain specific and enriched in certain MV associated proteins compared to the totalsecretome. The present study shows that both clinical and commensal S. haemolyticus isolates produce membrane vesicles. The MV cargo of both strains was enriched in proteins involved in adhesion and in acquisition of iron. The MV cargo of the clinical strain was further enriched in antimicrobial resistance proteins.
2018-11-30 | PXD010389 | Pride
Project description:Oberhardt2008 - Genome-scale metabolic
network of Pseudomonas aeruginosa (iMO1056)
This model is described in the article:
Genome-scale metabolic
network analysis of the opportunistic pathogen Pseudomonas
aeruginosa PAO1.
Oberhardt MA, Puchałka J, Fryer
KE, Martins dos Santos VA, Papin JA.
J. Bacteriol. 2008 Apr; 190(8):
2790-2803
Abstract:
Pseudomonas aeruginosa is a major life-threatening
opportunistic pathogen that commonly infects immunocompromised
patients. This bacterium owes its success as a pathogen largely
to its metabolic versatility and flexibility. A thorough
understanding of P. aeruginosa's metabolism is thus pivotal for
the design of effective intervention strategies. Here we aim to
provide, through systems analysis, a basis for the
characterization of the genome-scale properties of this
pathogen's versatile metabolic network. To this end, we
reconstructed a genome-scale metabolic network of Pseudomonas
aeruginosa PAO1. This reconstruction accounts for 1,056 genes
(19% of the genome), 1,030 proteins, and 883 reactions. Flux
balance analysis was used to identify key features of P.
aeruginosa metabolism, such as growth yield, under defined
conditions and with defined knowledge gaps within the network.
BIOLOG substrate oxidation data were used in model expansion,
and a genome-scale transposon knockout set was compared against
in silico knockout predictions to validate the model.
Ultimately, this genome-scale model provides a basic modeling
framework with which to explore the metabolism of P. aeruginosa
in the context of its environmental and genetic constraints,
thereby contributing to a more thorough understanding of the
genotype-phenotype relationships in this resourceful and
dangerous pathogen.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180020.
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 | MODEL1507180020 | BioModels
Project description:Escherichia coli is the most widely studied strains, which has irreplaceable position in medicine and biology research. Pseudomonas aeruginosa, an opportunistic human pathogen, tends to cause potentially lethal acute or chronic infections in patients with cystic fibrosis (CF), immunocompromised individuals and burn victims. However, it is little know about the effect of the special secondary structure rG4 (G-quadruplex) in the mRNA on virulence regulation. Here, we aim to reveal the new and important post-transcriptional regulatory roles of rG4 in bacterial pathogenicity and metabolic pathways.
2019-12-31 | GSE129281 | GEO
Project description: Not available
| S-EPMC2668337 | biostudies-literature
Project description:In many pathogens, quorum-sensing systems regulate virulence. Quorum-sensing is therefore often proposed as a target for antivirulence drug development. Coagulase-negative staphylococci are leading causes of nosocomial blood infections and of mortality due to sepsis as the most extreme consequence of such infections. However, there is a severe lack of understanding how virulence and especially quorum-sensing affects coagulase-negative staphylococcal sepsis. Using a mouse systemic infection model, we here show that the staphylococcal Agr quorum-sensing system has a strong impact on mortality from sepsis caused by the exemplary coagulase-negative staphylococcal species Staphylococcus haemolyticus. To that end, we analyzed the mechanism and regulon of S. haemolyticus Agr, which revealed a strong focus of quorum-sensing regulation of phenol-soluble modulin toxins. Our results further indicate that PSMs are the virtually exclusive mediators of the Agr effect on S. haemolyticus sepsis and suggest that the predominant underlying mechanism is cytolytic capacity of PSMs. These findings imply that Agr and PSMs represent promising targets for antivirulence drug development targeting sepsis caused by coagulase-negative staphylococci. This contrasts quorum-sensing targeted efforts to control S. aureus blood infections, for which such approaches are considered less promising - a difference our results suggest is due to the much more focused role of Agr control in coagulase-negative staphylococci, where among toxins, Agr exclusively and exceptionally tightly controls PSMs.
2025-09-23 | GSE285447 | GEO
Project description:Opportunistic pathogen that cause poultry Infectious coryza
| PRJNA648661 | ENA