Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Clinical methicillin-resistant Staphylococcus pseudintermedius and S. epidermidis from infected dogs

PROVIDER: PRJNA820295 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18493461_1.fastq.gz	Fastqsanger.gz
	SRR18493461_2.fastq.gz	Fastqsanger.gz
	SRR18493463_1.fastq.gz	Fastqsanger.gz
	SRR18493463_2.fastq.gz	Fastqsanger.gz
	SRR18493464_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 50

Similar Datasets

Project description:Methicillin-resistant Staphylococcus pseudintermedius from dogs

| PRJNA902303 | ENA

Staphylococcus pseudintermedius K7 strain:K7

Project description:Methicillin-resistant Staphylococcus pseudintermedius

| PRJDB744 | ENA

Toxin mediates sepsis caused by methicillin-resistant Staphylococcus epidermidis

Project description:Bacterial sepsis is a major killer in hospitalized patients. Coagulase-negative staphylococci (CNS) with the leading species Staphylococcus epidermidis are the most frequent causes of nosocomial sepsis, with most infectious isolates being methicillin resistant. However, which bacterial factors underlie the pathogenesis of CNS sepsis is unknown. While it has been commonly believed that invariant structures on the surface of CNS trigger sepsis by causing an over-reaction of the immune system, we show here that sepsis caused my methicillin-resistant S. epidermidis is to a large extent mediated by the methicillin resistance island-encoded peptide toxin, PSM-mec. PSM-mec contributed to bacterial survival in whole human blood and resistance to neutrophil-mediated killing, and caused significantly increased mortality and cytokine expression in a mouse sepsis model. Furthermore, we show that the PSM-mec peptide itself, rather than the regulatory RNA in which its gene is embedded, is responsible for the observed virulence phenotype. While toxins have never been clearly indicated in CNS infections, our study shows that an important type of infection caused by the predominant CNS species, S. epidermidis, is mediated to a large extent by a toxin. Of note, these findings suggest that CNS infections may be amenable to virulence-targeted drug development approaches. We used microarrays to detail the global gene expression between S. epidermidis strain Rp62A and S. epidermidis strain Rp62A isogenic Δpsm-mec deletion mutants

2017-01-06 | GSE85265 | GEO

Staphylococcus pseudintermedius

Project description:Methicillin resistant Staphylococcus pseudintermedius from Australian animals

| PRJNA439160 | ENA

Effect of erythritol on gene expression of Staphylococcus pseudintermedius

Project description:We performed a transcriptome analysis of Staphylococcus pseudintermedius with and without 5% (w/w) erythritol exposure to validate the mechanism of growth inhibition.

2023-07-19 | GSE227665 | GEO

Mechanism of antimicrobial synergy between doxycycline and carprofen against methicillin-resistant Staphylococus pseudintermedius

Project description:We previously showed that doxycycline and carprofen , a veterinary non-steroidal anti-inflammatory drug, have synergistic antimicrobial activity against methicillin-resistant Staphylococus pseudintermedius (MRSP) carrying the tetracycline resistance determinant TetK. To elucidate the molecular mechanism of this synergy, we investigated the effects of the two drugs, individually and in combination, using a comprehensive approach including two-dimensional differential in-gel electrophoresis (2D DIGE).

2020-05-26 | PXD013725 | Pride

Glucose supply and glycolysis inhibition shape the clinical fate of preterm newborns infected with Staphylococcus epidermidis [cord blood]

Project description:To investigate the glycolysis inhibition effect on the inflammation responses of preterm newborns infected with Staphylococcus epidermidis, we used preterm pigs` cord blood to mimic the inflammation condition of preterm newborns at birth and stimulated with S. epidermidis and glycolysis inhibior. We then performed gene expression profiling analysis using data obtained from RNA-seq of the cord blood, which were stimulated with S. epidermidis and DCA.

2022-06-29 | GSE201539 | GEO

Staphylococcus epidermidis

Project description:Toxin mediates sepsis caused by methicillin-resistant Staphylococcus epidermidis

| PRJNA337973 | ENA

Detection of mobile-genetic-element variation between colonizing and infecting hospital-associated methicillin-resistant Staphylococcus aureus isolates.

Project description:Whole-genome analysis by 62-strain microarray showed variation in resistance and virulence genes on mobile genetic elements (MGEs) between 40 isolates of methicillin-resistant Staphylococcus aureus (MRSA) strain CC22-SCCmecIV but also showed (i) detection of two previously unrecognized MRSA transmission events and (ii) that 7/8 patients were infected with a variant of their own colonizing isolate. [Data is also available from http://bugs.sgul.ac.uk/E-BUGS-128]

2012-10-29 | E-BUGS-128 | biostudies-arrayexpress

Mapping disease-associated regulatory circuits by cell type from single-cell multiomics data (COVID-19 scATAC-seq)

Project description:Resolving chromatin remodeling-linked gene expression changes is important for understanding disease states. We describe MAGICAL (Multiome Accessible Gene Integration Calling And Looping), a hierarchical Bayesian approach that leverages paired scRNA-seq and scATAC-seq data from different conditions to map disease-associated transcription factors, regulatory sites and genes as regulatory circuits. By introducing hidden Bayesian variables to allow modeling noise and signal variation across cells and conditions in both transcriptome and chromatin data, in systemic evaluations MAGICAL achieved high accuracy on circuit prediction at cell-type resolution. We applied MAGICAL to study Staphylococcus aureus sepsis from peripheral blood mononuclear single cell data that we generated from infected subjects and healthy uninfected controls. MAGICAL identified sepsis-associated regulatory circuits predominantly in CD14 monocytes, known to be sepsis activated. We addressed the challenging problem of distinguishing methicillin-resistant- (MRSA) and methicillin-sensitive Staphylococcus aureus (MSSA) infections, where differential expression analysis failed to show predictive value. MAGICAL, however, identified epigenetic circuit biomarkers that distinguished MRSA from MSSA.

2023-05-19 | GSE222548 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data