Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Patient Movement and Impact on Multidrug-Resistant Organism (MDRO) Transmission

PROVIDER: PRJNA1204323 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR31855200_1.fastq.gz	Fastqsanger.gz
	SRR31855200_2.fastq.gz	Fastqsanger.gz
	SRR31855300_1.fastq.gz	Fastqsanger.gz
	SRR31855300_2.fastq.gz	Fastqsanger.gz
	SRR31855400_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 818

Similar Datasets

Pseudomonas aeruginosa

Project description:MDRO-POP: MultiDrug Resistant Organism Network - Prospective Observational Pseudomonas Study

| PRJNA824880 | ENA

Acinetobacter baumannii

Project description:MDRO-SNAP: MultiDrug Resistant Organism Network - Study Network of Acinetobacter baumannii as Carbapenem-Resistant Pathogen (SNAP)

| PRJNA906166 | ENA

Nursing home study

Project description:Prevalence of multidrug resistant organisms (MDRO) in nursing homes in Ireland and the Netherlands

| PRJEB31196 | ENA

Project description:The Burden and Impact of Early Post-Transplant Multidrug-resistant Organism Detection Among Renal Transplant Recipients,

| PRJNA1012809 | ENA

Whole Genome Sequence Analysis of Mycobacterium tuberculosis Strains from Patients in Campania Region

Project description:Tuberculosis (TB) is one of the deadliest infectious disorders in the world. To effectively TB manage, an essential step is to gain insight into the lineage of Mycobacterium tuberculosis (MTB) strains and the distribution of drug resistance. Although the Campania region is declared a cluster area for the infection, to contribute to the effort to understand TB evolution and transmission, still poorly known, we have generated a dataset of 159 genomes of MTB strains, from Campania region collected during 2018-2021, obtained from the analysis of whole genome sequence data. The results show that the most frequent MTB lineage is the 4 according for 129 strains (81.11%). Regarding drug resistance, 139 strains (87.4%) were classified as multi susceptible, while the remaining 20 (12.58%) showed drug resistance. Among the drug-resistance strains, 8 were isoniazid-resistant MTB (HR-MTB), 7 were resistant only to one antibiotic (3 were resistant only to ethambutol and 3 isolate to streptomycin while one isolate showed resistance to fluoroquinolones), 4 multidrug-resistant MTB, while only one was classified as pre-extensively drug-resistant MTB (pre-XDR). This dataset expands the existing available knowledge on drug resistance and evolution of MTB, contributing to further TB-related genomics studies to improve the management of TB infection.

2023-11-17 | E-MTAB-13058 | biostudies-arrayexpress

Contain

Project description:Impact of single room contact precautions on hospital-acquisition and transmission of multidrug-resistant Escherichia coli

| PRJEB24378 | ENA

Pseudomonas aeruginosa transmission from sink to patient

Project description:In vitro single nucleotide variability applied in vivo: drain to patient transmission of multidrug-resistant Pseudomonas aeruginosa

| PRJEB32583 | ENA

Multidrug-resistant bacteria in refugee patients – no hint for transmission

Project description:Multidrug-resistant bacteria in refugee patients – no hint for transmission

| PRJEB23208 | ENA

Project description:Transmission of multidrug-resistant organisms between hospital patients and their pets

| PRJNA1162298 | ENA

A trade-off for maintenance of multidrug-resistance IncHI2 plasmids in Salmonella Typhimurium through co-evolution

Project description:Plasmid maintenance costs to bacterial hosts is closely linked to the mechanisms that underlie plasmid fitness and how these costs are resolved. Herein, we performed multiple (63) serial passage to explore the compensatory mechanisms of co-evolution of multidrug-resistant IncHI2 plasmid pJXP9 and S. Typhimurium strain ATCC 14028 with or without antibiotic selection. pJXP9 could be maintained at for hundreds of generations even without drug exposure. Decreased lag times and higher competitive advantages were observed in end-point evolved strains bearing pJXP9 compared to ancestral strains. Genomic and transcriptomic analyses revealed that the fitness costs of pJXP9 in ATCC 14028 were derived from not only specific plasmid genes, particularly the multidrug-resistant region and conjugation transfer region I, but also the conflicts resulting from chromosomal gene interactions. Correspondingly, plasmid-borne deletions of these regions could compensate the fitness cost due to the presence of the plasmid. Furthermore, mutations and mRNA alterations in chromosomal genes involved in physiological functions were also adaptative. These functions included decreased flagellar motility, oxidative stress resistance and fumaric acid synthesis, and increased Cu resistance. Our findings suggest that plasmid maintenance through plasmid-bacteria co-evolution is a trade-off between increasing plasmid vertical transmission and impairing its horizontal transmission and bacterial physiological phenotypes.

2022-03-02 | GSE197475 | 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