Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Staphylococcus aureus, Wistar rat

ABSTRACT: Investigation of chamber-specific host-pathogen interaction by dual RNA-Seq based transcriptome analysis of Staphylococcus aureus infective endocarditis

PROVIDER: PRJNA674680 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13131594.fastq.gz	Fastqsanger.gz
	SRR13131595.fastq.gz	Fastqsanger.gz
	SRR13131596.fastq.gz	Fastqsanger.gz
	SRR13131597.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Dual RNA-seq on Klebsiella pneumoniae infection to human epithelial cells

Project description:Klebsiella pneumoniae poses significant threat to global health. Detailed investigation to the nature of its interaction to human epithelial cells is still lacking. OmpR is an important regulator to the expression of major outer membrane protein genes, ompF and ompC. Here, we exploited the recently described dual RNA-seq to simultaneously measure genome-wide expression of host and pathogen two hours into infection. By comparing OmpR deleted strain to its wildtype parental strain, we, simultaneously, reconstructed OmpR regulon and deletion effect to host response.

2021-12-14 | GSE123964 | GEO

Project description:Pathogen-host interaction

| PRJNA579883 | ENA

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

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 | GSE240320 | GEO

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

2023-08-08 | GSE240319 | GEO

Staphylococcus succinus: Infective Endocarditis in Human

Project description:Staphylococcus succinus: Infective Endocarditis in Human

| PRJEB66420 | ENA

Organism Dual RNA-Seq Reveals the Control on both Pathogen and Host through BarA/UvrY of Vibrio parahaemolyticus for Successful Infection

Project description:Elucidation of host-pathogen interaction is essential for developing effective strategies to combat bacterial infection. Dual RNA-Seq using cultured cells or tissues/organs as the pathogen host has emerged as a novel strategy to understand the response concurrently from both pathogen and host at cellular level. However, bacterial infection mostly causes systematic responses from the host at organism level where the interplay is urgently to be understood but inevitably being neglected by the current practice. Here, we developed an approach that simultaneously monitor the genome-wide infection-linked transcriptional alterations in both pathogenic Vibrio parahaemolyticus and the infection host nematode Caenorhabditis elegans. Besides the dynamic alterations in both transcriptomes of C. elegans and V. parahaemolyticus during infection, we identify a two-component system, BarA/UvrY, that are essential for host colonization. BarA/UvrY not only controls the virulence factors in V. parahaemolyticus including Type III and Type VI secretion systems, but also represses the MAP kinase mediated signaling cascades to attenuate innate immune responses. Thus, our study exemplifies the use of dual RNA-Seq at organism level to uncover previously unrecognized interplay between host and pathogen.

2020-09-10 | GSE138199 | GEO

Project description:Dual RNA-Seq of host-pathogen interaction between human and major Candida pathogens

| PRJNA577038 | ENA

Proteomics of Abiotrophia defectiva protein secretion

Project description:This projects comprises of proteomic analysis of extracellular proteins secreted by A. defectiva, an oral bacterium occassioanlly causing infective endocarditis.

2024-05-21 | PXD015631 | Pride

Dual RNA sequencing of Helicobacter pylori and host cell transcriptomes reveals ontologically distinct host-pathogen interaction

Project description:Dual RNA sequencing of Helicobacter pylori and host cell transcriptomes reveals ontologically distinct host-pathogen interaction

| PRJNA1018440 | ENA

Microarray analysis of gene expression induced by Phytophthora infestans in tomato leaves

Project description:Phytophthora infestans is most notorious oomycete causing a devastating disease on tomato called late blight. The molecular mechanisms involved in host-parasite interaction is still unexplored well. Investigation of changes in gene expression profile after pathogen infection to find out the mechanisms involved in infection process

2011-10-25 | GSE33177 | 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