Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E. faecalis infective endocarditis treatment failure

ABSTRACT: Complete genome sequencing of Enterococcus faecalis strains suggests a role of Ebp deletions in infective endocarditis relapses

PROVIDER: PRJEB31504 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	CAADSG01.dat.gz	Other
	CAADSG01.fasta.gz	Fasta.gz
	CAADSG01.master.dat	Other
	CAADSH01.dat.gz	Other

Items per page:

1 - 5 of 19

Similar Datasets

Microdiversity of Enterococcus faecalis isolates from infective endocarditis

Project description:Microdiversity of Enterococcus faecalis isolates from infective endocarditis

| PRJEB36907 | ENA

Staphylococcus succinus: Infective Endocarditis in Human

Project description:Staphylococcus succinus: Infective Endocarditis in Human

| PRJEB66420 | ENA

Staphylococcus aureus gene expression in a rat model of infective endocarditis

2014-11-01 | GSE62390 | GEO

Phenotypic and genotypic characteristics of MSSA isolates responsible for infective endocarditis

Project description:Phenotypic and genotypic characteristics of MSSA isolates responsible for infective endocarditis

| PRJEB82234 | ENA

Identification of host endotypes using peripheral blood transcriptomics in a prospective cohort of patients with endocarditis [pre]

Project description:Infective endocarditis is a severe disease caused by the infection of heart valves and endocardium by pathogenic germ. Antimicrobial therapy and surgery remain the basis of treatment, and up to 50% of the patients require surgical replacement of the affected valves to control the infectious source. The objective of this work is to identify the existence of endotypes in a prospective cohort of patients with infective endocarditis. We performed a bulk RNA-seq form peripheral blood to cluster patients according to their transcriptomic profiles at diagnosis and during their follow-up. Clinical data, outcomes and response to surgery were assessed in a cluster-specific manner, in order to identify differences in the pathogenesis that could help to find personalized treatments and improve the outcome.

2023-08-08 | GSE240319 | GEO

Identification of host endotypes using peripheral blood transcriptomics in a prospective cohort of patients with endocarditis [pre-post_qx]

2023-08-08 | GSE240320 | GEO

Staphylococcus aureus gene expression in a rat model of infective endocarditis

Project description:S. aureus has a propensity to cause endocarditis; diabetes mellitus is a frequent underlying comorbitity in patents with S. aureus endocarditis. S. aureus Affymetrix GeneChips were used to compare S. aureus expression properties in cardiac vegatations isolated from diabetic and nondiabetic rats. S. aureus Affymetrix GeneChips were also used to compare the S. aureus expression properties of cardiac vegatations (both diabetic and nondiabetic) in comparsions to planktonic cells. Few differences were observed between the expression properties of S. aureus harvested from diabetic vs. nondiabetic cardiac vegatations. Significant differences were observed between the expression properties of S. aureus harvested from cardiac vegetations in comparison to exponential and/or stationary phase planktonically grown cells. S. aureus strain COL was used to establish cardiac vegetations in diabetic and nondiabetic rats or grown in laboratory medium to exponential or stationary phase, total bacterial RNA was isolated, labeled and applied to Affymetrix GeneChips. We sought to determine whether the transcriptional profiles of S. aureus differed in diabetic vs. nondiabetic rats and whether vegetations differed from that of planktonic S. aureus.

2014-11-01 | E-GEOD-62390 | biostudies-arrayexpress

Dataset in support of patients on clinical suspicion of infective endocarditis included in a study searching for novel putative biomarkers

Project description:Infective endocarditis (IE) has high mortality, partly due to delayed diagnosis and treatment. Currently, no biomarker can identify IE in patients with fever and clinical picture of infection. To find putative biomarkers we analyzed serum levels of two proteins found in cardiac valves, osteoprotegerin and fibulin-1 among 689 and 696 patients on clinical suspicion of IE, respectively. In addition, proteomic analyses were performed in 24 patients with bacteremia, 12 patients with definite IE and 12 patients with excluded IE.

2020-02-26 | PXD010149 | Pride

Gene Expression Analysis of Blood Reveals S100A11 and AQP9 as Potential Biomarkers of Infective Endocarditis

Project description:Background—Diagnosis and pronostic assessment are challenging in infective endocarditis (IE). To investigate the host response during IE and identify potential biomarkers, we determined the circulating gene expression profile through a whole genome microarray analysis. Methods and Results—A transcriptomic case-control study was performed on blood samples from patients with native valve IE (n=39), excluded IE after an initial suspicion (n=10) at patient’s admission, and age-matched healthy controls (n=10). The whole genome microarray analysis showed that patients with IE exhibited a specific transcriptional program with a predominance of gene categories associated with cell activation, innate immune and inflammatory responses. These categories were organized in a dense network from which arose numerous subnetworks including major histocompatibily complex and natural killer cell network, type 1 interferon pathway and intracellular traffic. Quantitative real-time RT-PCR performed on a selection of highly modulated genes showed that the expression of the gene encoding S100 calcium binding protein A11 (S100A11) was significantly increased in patients with IE in comparison with controls (P<0.001) and patients with excluded IE (P<0.05). Interestingly, the upregulated expression of S100A11 gene was more pronounced in staphylococcal IE than in streptococcal IE (P<0.01). These results were confirmed by serum concentrations of the S100A11 protein. Finally, we showed that, in patients with IE, the upregulation of aquaporin-9 gene (AQP9) was significantly related to the occurrence of acute heart failure (P=0.02). Conclusions— Using transcriptional signatures of blood samples, we identified S100A11 as a potential diagnostic marker of IE. In addition, the determination of AQP9 may improve the prognostic assessment of IE.

2012-03-12 | GSE29161 | GEO

Protein components of infective endocarditis vegetations and insights on their proteolysis using mass spectrometry-based N-terminomics

Project description:Infective endocarditis results in the growth of a vegetative mass on native or bio prosthetic valves hindering function and increasing risk of thromboses. This study set out to determine the proteomic composition of these vegetations including the influence of different micro-organisms and the proteases known to be present. Our data has allowed us to describe for first time the influence different infectious organisms have on vegetation growth. Including the contribution of the immune response and circulatory proteins/cells make in composing a vegetation. Furthermore, we describe the protease activity and both known and novel cleavage sites in a plethora of targets. This data provides a deep insight into the homogeneity and heterogeneity of vegetation composition.

2020-07-29 | PXD019129 | Pride

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