Pseudomonas aeruginosa strain:BH6
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ABSTRACT:
PROVIDER: PRJNA291357 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Pseudomonas aeruginosa is an opportunistic pathogen which causes acute and chronic infections that are difficult to treat. Comparative genomic analysis has showed a great genome diversity among P. aeruginosa clinical strains and revealed important regulatory traits during chronic adaptation. While current investigation of epigenetics of P. aeruginosa is still lacking, understanding the epigenetic regulation may provide biomarkers for diagnosis and reveal important regulatory mechanisms. The present study focused on characterization of DNA methyltransferases (MTases) in a chronically adapted P. aeruginosa clinical strain TBCF10839. Single-molecule real-time sequencing (SMRT-seq) was used to characterize the methylome of TBCF. RCCANNNNNNNTGAR and TRGANNNNNNTGC were identified as target motifs of DNA MTases, M.PaeTBCFI and M.PaeTBCFII, respectively.
2023-07-22 | GSE209530 | GEO
Project description:Pseudomonas aeruginosa, a human opportunistic pathogen, is a common cause of nosocomial infections. Its ability to survive under different conditions relies on a complex regulatory network engaging transcriptional regulators controlling metabolic pathways and capabilities to efficiently use the available resources. P. aeruginosa PA3973 encodes a putative TetR family transcriptional regulator, with a helix-turn-helix motif involved in DNA binding. We applied transcriptome profiling (RNA-seq), and genome-wide identification of binding sites using ChIP-seq to unravel the biological role of PA3973.
2022-11-22 | GSE211771 | GEO
Project description:KPC-producing Pseudomonas aeruginosa from 6 Hospitals in China from 2016-2019
| PRJNA672835 | ENA
Project description:Pseudomonas aeruginosa is an opportunistic pathogen which causes acute and chronic infections that are difficult to treat. Comparative genomic analysis has showed a great genome diversity among P. aeruginosa clinical strains and revealed important regulatory traits during chronic adaptation. While current investigation of epigenetics of P. aeruginosa is still lacking, understanding the epigenetic regulation may provide biomarkers for diagnosis and reveal important regulatory mechanisms. The present study focused on characterization of DNA methyltransferases (MTases) in a chronically adapted P. aeruginosa clinical strain TBCF10839. Single-molecule real-time sequencing (SMRT-seq) was used to characterize the methylome of TBCF. RCCANNNNNNNTGAR and TRGANNNNNNTGC were identified as target motifs of DNA MTases, M.PaeTBCFI and M.PaeTBCFII, respectively. LC-MS/MS analysis of DNA methylation was employed to verify the MTase activities. Transcriptomic analysis showed that ΔM.PaeTBCFII knockout mutant significantly downregulated nitric oxide reductase (NOR) regulating and coding gene expression such as nosR and norB, which contain methylated motifs in their promoters or coding regions. These predicted target motifs in nosR and norB were not methylated in the ΔM.PaeTBCFII knockout mutant. ΔM.PaeTBCFII exhibited reduced intercellular survival capacity in NO-producing RAW 264.7 macrophages and attenuated virulence in Galleria mellonella infection model. While the complemented strain recovered these defective phenotypes. Further phylogenetic analysis demonstrated that homologs of M.PaeTBCFII is frequently exists in P. aeruginosa sp as well as other bacteria species. Our work therefore provided new insights on the relationship between DNA methylation, NO detoxification, and bacterial virulence, laying a foundation for further exploring the molecular mechanism of DNA methyltransferase in regulating the pathogenicity of P. aeruginosa.
2022-08-31 | GSE202420 | GEO
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
Project description:Chromosome segregation in Pseudomonas aeruginosa is assisted by the tripartite ParAB-parS system, composed of an ATPase (ParA), a DNA-binding protein (ParB), and its target parS sequence(s). ParB forms a nucleoprotein complex around four parSs (parS1-parS4), which is positioned within the cell by ParA. Remarkably, ParB of P. aeruginosa binds to multiple heptanucleotides (half-parSs) scattered in the genome. In this work we analysed the transcriptome of P. aeruginosa with mutated 25 half-parSs forming the strongest ParB ChIP-seq peaks. Inactivation of ParB binding to even a small fraction of these sites modulated the gene expression, however this effect is most likely indirect. Overall this work suggests complex relation between ParB binding to genome and P. aeruginosa transcriptome.
2023-08-03 | GSE233235 | GEO
Project description:To further understand the gene expression characteristics of originating biocontrol strain Pseudomonas aeruginosa M18, we have applied whole genome microarray expression profiling as a discovery platform to to specify the PCA-dependent expression of M18 genome. We constructed a series of PCA-producing mutant strains (high PCA: M18MSU1; low PCA: M18MS; and no PCA: M18MSP1P2). The comparison analysis of the M18 mutants genome expressional profiles indicated that the expression of PCA in both M18MSU1 and M18MS alters the expression of a total of 545 different genes; however, the higher level of PCA in M18MSU1 altered more genes (489) as compared to M18MS (129).
2014-07-02 | GSE58981 | GEO
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
Project description:We report RNA sequencing data for mRNA transcripts obtained from tobramycin exposed phoenix colonies, VBNCs, and various controls (untreated lawn, edge of the zone of clearance of tobramycin, treated outer background lawn). Extracted mRNA was sequenced using an Illumina HiSeq 4000, mapped to a Pseudomonas aeruginosa PAO1 reference genome, and processed to obtain counts for all gene transcripts for each sample. This is the first sequencing data generated for Pseudomonas aeruginosa phoenix colonies and VBNCs.
2022-03-27 | GSE199323 | GEO
Project description:Airway epithelium is the initial point of host-pathogen interaction in Pseudomonas aeruginosa infection, an important pathogen in cystic fibrosis and nosocomial pneumonia. We used global gene expression analysis to determine airway epithelial transcriptional responses dependent on matrilysin (MMP-7) and stromelysin-2 (MMP-10), two matrix metalloproteinases induced by acute P. aeruginosa pulmonary infection. Extraction of Differential Gene Expression (EDGE) analysis of gene expression changes in P. aeruginosa infected organotypic tracheal epithelial cell cultures from wildtype, Mmp7-/-, and Mmp10-/- mice identified 2,089 matrilysin-dependent and 1,628 stromelysin-2-dependent genes that were differentially expressed. Key node network analysis showed that these MMPs controlled distinct gene expression programs involved in proliferation, cell death, immune responses, and signal transduction, among other host defense processes. Our results demonstrate discrete roles for these MMPs in regulating epithelial responses to pseudomonas infection and show that a global genomics strategy can be used to assess MMP function. Experiment Overall Design: C57Bl6, Mmp7-/- and Mmp10-/- mouse epithelium at an organotypic air liquid interface culture was exposed to Pseudomonas aeruginosa for 1 and 24 h. RNA was collected from these samples as well as uninfected 0 h and assessed for expression changes using Affymetrix Mouse 430 2.0 Arrays. Triplicate samples were processed for each genotype at each time point.
2008-06-15 | E-GEOD-7957 | biostudies-arrayexpress