Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Pseudomonas aeruginosa

ABSTRACT: Pseudomonas aeruginosa Environmental Isolate Sequencing

PROVIDER: PRJNA393338 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	NLAY01.dat.gz	Other
	NLAY01.fasta.gz	Fasta.gz
	NLAY01.master.dat	Other
	NLAZ01.dat.gz	Other
	NLAZ01.fasta.gz	Fasta.gz

Items per page:

1 - 5 of 516

Similar Datasets

Transcriptional modulation of Quoring-sensing signaling throught QslA in Pseudomonas aeruginosa PA14 and PAO1.

Project description:To further determine the origin of the increased virulence of Pseudomonas aeruginosa PA14 compared to Pseudomonas aeruginosa PAO1, we report a transcriptomic approach through RNA sequencing. Next-generation sequencing (NGS) has revolutioned sistems-based analsis of transcriptomic pathways. The goals of this study are to compare the transcriptomic profile of all 5263 orthologous genes of these nearly two strains of Pseudomonas aeruginosa.

2019-09-23 | GSE125646 | GEO

Pseudomonas aeruginosa isolate:Pseudomonas aeruginosa HN41

Project description:Pseudomonas aeruginosa isolate:Pseudomonas aeruginosa HN41 Genome sequencing

| PRJNA1180259 | ENA

Pseudomonas aeruginosa PAO1 response to sphingomyelin

Project description:Analysis of Pseudomonas aeruginosa PAO1 treated with 200 µM sphingomyelin. Results provide insight into the response to sphingomyelin in P. aeruginosa.

2017-02-12 | GSE83078 | GEO

Swarming motility in Pseudomonas aeruginosa

Project description:We report the transcriptome of Pseudomonas aeruginosa PA14 under swarming conditions as compared to a swimming control

2019-12-23 | GSE121504 | GEO

Transcriptional profile of Pseudomonas aeruginosa infected cells

Project description:Transcriptional profile of Pseudomonas aeruginosa infected cells

2023-01-01 | GSE199424 | GEO

Pseudomonas aeruginosa

Project description:Pseudomonas aeruginosa bloodstream isolate sequencing

| PRJNA485889 | ENA

ChIP-seq and RNA-seq analyses of genomic regulators in Pseudomonas aeruginosa

Project description:Regulatory networks including virulence-related transcriptional factors (TFs) determine bacterial pathogenicity in response to different environmental cues. Pseudomonas aeruginosa, a Gram-negative opportunistic pathogen of humans, recruits numerous TFs in quorum sensing (QS) system, type III secretion system (T3SS) and Type VI secretion system (T6SS) to mediate the pathogenicity. Although many virulence-related TFs have been illustrated individually, very little is known about their crosstalks and regulatory network. Here, based on chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) and transcriptome profiling (RNA-seq), we primarily focused on understanding the crosstalks of 20 virulence-related TFs, which led to construction of a virulence regulatory network named PAGnet (Pseudomonas aeruginosa Genomic integrated regulatory network), including 82 crosstalk targets. The PAGnet uncovered the intricate mechanism of virulence regulation and revealed master regulators in QS, T3SS and T6SS pathways. In particular, GacA and ExsA showed novel functions in QS and nitrogen metabolism. In addition, an online PAGnet platform was provided to analyze these TFs and more virulence factors. Taken together, the present study revealed the function-specific crosstalks of virulence regulatory network, which might provide new strategies for treating infections in P. aeruginosa in the future.

2019-07-16 | GSE128430 | GEO

Genomic DNA hybridization of Pseudomonas aeruginosa strains PAO1 and PA14

Project description:Genomic DNA from Pseudomonas aeruginosa strains PAO1 and PA14

2015-11-15 | GSE67038 | GEO

Pseudomonas aeruginosa LC-MS/MS

Project description:Pseudomonas aeruginosa is a major cause of morbidity and mortality in patients with cystic fibrosis (CF). The P. aeruginosa CF isolate PASS4 has reduced ability to catabolise various carbon sources however can grow on DNA as a sole carbon source but, with a higher biomass production than P. aeruginosa burns wound, laboratory strain PAO1. Therefore, proteomic profiling of PASS4 and PAO1 was conducted following growth on DNA as a sole carbon source. To compare the protein expression of P. aeruginosa strains PAO1 and PASS4 following growth in DNA, the amino acid, asparagine was used a control condition, as asparagine was one of the amino acids PASS4 could utilise.

2019-06-24 | PXD006742 | Pride

Pseudomonas aeruginosa isolate:Pseudomonas aeruginosa HS17-127

Project description:Pseudomonas aeruginosa isolate:Pseudomonas aeruginosa HS17-127 Genome sequencing

| PRJNA661977 | ENA