Staphylococcus aureus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA737137 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR14866261_1.fastq.gz | Fastqsanger.gz | |||
| SRR14866261_2.fastq.gz | Fastqsanger.gz | |||
| SRR14866262_1.fastq.gz | Fastqsanger.gz | |||
| SRR14866262_2.fastq.gz | Fastqsanger.gz |
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Project description:Whole genome sequencing to identify genetic markers associated with virulence and biofilm formation in health care-associated methicillin-resistant Staphylococcus aureus (HA-MRSA) isolates
| PRJNA737146 | ENA
Project description:To establish general differences between the protein expression in S. aureus strains, five methicillin sensitive S. aureus (MSSA) strains and five methicillin resistant S. aureus (MRSA) strains were compared both individually and as MSSA and MRSA groups in the absence of antibiotics. Proteins were compared by ultra-performance liquid chromatography-mass spectrometry.
2023-04-25 | PXD021629 | Pride
Project description:Resolving chromatin remodeling-linked gene expression changes is important for understanding disease states. We describe MAGICAL (Multiome Accessible Gene Integration Calling And Looping), a hierarchical Bayesian approach that leverages paired scRNA-seq and scATAC-seq data from different conditions to map disease-associated transcription factors, regulatory sites and genes as regulatory circuits. By introducing hidden Bayesian variables to allow modeling noise and signal variation across cells and conditions in both transcriptome and chromatin data, in systemic evaluations MAGICAL achieved high accuracy on circuit prediction at cell-type resolution. We applied MAGICAL to study Staphylococcus aureus sepsis from peripheral blood mononuclear single cell data that we generated from infected subjects and healthy uninfected controls. MAGICAL identified sepsis-associated regulatory circuits predominantly in CD14 monocytes, known to be sepsis activated. We addressed the challenging problem of distinguishing methicillin-resistant- (MRSA) and methicillin-sensitive Staphylococcus aureus (MSSA) infections, where differential expression analysis failed to show predictive value. MAGICAL, however, identified epigenetic circuit biomarkers that distinguished MRSA from MSSA.
2023-05-19 | GSE222548 | GEO
Project description:Resolving chromatin remodeling-linked gene expression changes is important for understanding disease states. We describe MAGICAL (Multiome Accessible Gene Integration Calling And Looping), a hierarchical Bayesian approach that leverages paired scRNA-seq and scATAC-seq data from different conditions to map disease-associated transcription factors, regulatory sites and genes as regulatory circuits. By introducing hidden Bayesian variables to allow modeling noise and signal variation across cells and conditions in both transcriptome and chromatin data, in systemic evaluations MAGICAL achieved high accuracy on circuit prediction at cell-type resolution. We applied MAGICAL to study Staphylococcus aureus sepsis from peripheral blood mononuclear single cell data that we generated from infected subjects and healthy uninfected controls. MAGICAL identified sepsis-associated regulatory circuits predominantly in CD14 monocytes, known to be sepsis activated. We addressed the challenging problem of distinguishing methicillin-resistant- (MRSA) and methicillin-sensitive Staphylococcus aureus (MSSA) infections, where differential expression analysis failed to show predictive value. MAGICAL, however, identified epigenetic circuit biomarkers that distinguished MRSA from MSSA.
2023-05-19 | GSE220189 | GEO
Project description:Resolving chromatin remodeling-linked gene expression changes is important for understanding disease states. We describe MAGICAL (Multiome Accessible Gene Integration Calling And Looping), a hierarchical Bayesian approach that leverages paired scRNA-seq and scATAC-seq data from different conditions to map disease-associated transcription factors, regulatory sites and genes as regulatory circuits. By introducing hidden Bayesian variables to allow modeling noise and signal variation across cells and conditions in both transcriptome and chromatin data, in systemic evaluations MAGICAL achieved high accuracy on circuit prediction at cell-type resolution. We applied MAGICAL to study Staphylococcus aureus sepsis from peripheral blood mononuclear single cell data that we generated from infected subjects and healthy uninfected controls. MAGICAL identified sepsis-associated regulatory circuits predominantly in CD14 monocytes, known to be sepsis activated. We addressed the challenging problem of distinguishing methicillin-resistant- (MRSA) and methicillin-sensitive Staphylococcus aureus (MSSA) infections, where differential expression analysis failed to show predictive value. MAGICAL, however, identified epigenetic circuit biomarkers that distinguished MRSA from MSSA.
2023-05-19 | GSE220188 | GEO
Project description:Purpose: Staphylococcus aureus is a highly successful human pathogen responsible for wide range of infections. In this study, we provide insights into the virulence, pathogenicity, and antimicrobial resistance determinants of methicillin susceptible and methicillin resistant Staphylococcus aureus (MSSA; MRSA) recovered from non-healthcare environments. Experiment design: Three environmental MSSA and three environmental MRSA were selected for proteomic profiling using iTRAQ MS/MS. Gene Ontology (GO) Annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Annotation were applied to interpret the functions of the proteins detected. Results: 792 proteins were identified in MSSA and MRSA. Comparative analysis of MRSA and MSSA revealed that 8 of out 792 proteins were up-regulated and 156 down-regulated. Differentially abundant proteins were predominantly involved in catalytic and binding activity. Among 164 proteins that had differences in abundance, 29 proteins were involved in pathogenesis, antimicrobial activities，stress response, mismatch repair and cell wall synthesis. Twenty-two proteins associated with pathogenicity, including spa, sbi, clfA and dlt were up-regulated in MRSA. Moreover, the up-regulated pathogenic protein entC2 in MSSA was determined to be a super antigen potentially capable of triggering toxic shock syndrome in the host. Conclusions: Enhanced pathogenicity, antimicrobial activity and stress response were observed in MRSA compared to MSSA.
2020-01-09 | PXD014478 | Pride
Project description:understanding the biology of methicillin resistant staphylococcus aureus (MRSA) is crucialto unlocking insights for new targets in the fight against this pathogen, there is howeverlimited reports of methadological approaches for carrying proteomic and metabolomic profiling in S.aureus. Therefore, we describe the use of a dual-functionality methanol extraction method for the concurrent extraction of protein and metabolites from S.aureus and reporton the comparative analysis of the proteomic and metabolomic profiles of MRSA versus methicillin sensitive S. aureus (MSSA). Using a reference strain from MRSA and MSSA, we first compared the MRSA proteome extracted using the methanol method to the one from the traditionally used urea method. Then using the methanol extraction method, we compared the proteome and metabolome of MRSA versus MSSA. Through this study, we demonstrated the effectivnessof the methanol-based-dual-extraction method, providing simultaneous insights into the proteomic and metabolomic landscapes of S.aureus strains, demonstrating the utility of proteomic and metabolomic profiling for elucidating the biological basis of antimicrobial resistance
2024-08-10 | PXD050411 | Pride
Project description:Methicillin-resistant Staphylococcus aureus (MRSA) strains are important human pathogens and a significant health hazard for hospitals and the food industry. They are resistant to β-lactam antibiotics including methicillin and extremely difficult to treat. In this study, we show that the Staphylococcus aureus COL (MRSA) strain, with a known complete genome, can easily survive and grow under acidic and alkaline conditions (pH 5 and pH9, respectively), both planktonically and as a biofilm. Α microarray-based analysis of both planktonic and biofilm cells was performed under acidic and alkaline conditions showing that several genes are up- or down-regulated under different environmental conditions and growth modes. These genes were coding for transcription regulators, ion transporters, cell wall biosynthetic enzymes, autolytic enzymes, adhesion proteins and antibiotic resistance factors, most of which are associated with biofilm formation. These results will facilitate a better understanding of the physiological adjustments occurring in biofilm-associated S. aureus COL cells growing in acidic or alkaline environments, which will enable the development of new efficient treatment or disinfection strategies. We used microarrays to detail the global programme of gene expression underlying growth of S. aureus COL growing under acidic and alkaline conditions in biofilm or planktonic mode and identified distinct classes of up-regulated genes during this process.
2019-09-27 | GSE138075 | GEO
Project description:Whole genome sequencing to identify genetic markers associated with virulence and biofilm formation in community-associated methicillin-resistant Staphylococcus aureus isolates
| PRJNA737122 | ENA
Project description:The success of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) as pathogens is due to a combination of antibiotic resistance with high virulence. However, evolution of the exceptional virulence potential of CA-MRSA is not understood. Our previous study indicated that differential gene expression contributes substantially to this process. Thus, we here investigated the role of the pivotal virulence gene regulatory system agr in the most prevalent CA-MRSA strain USA300. Using a mouse subcutaneous infection model, we show that agr is essential for the development of CA-MRSA skin infections, the most frequent manifestation of disease caused by CA-MRSA. Furthermore, genome-wide analysis of gene expression revealed significant differences in agr-dependent virulence gene regulation between CA-MRSA, HA-MRSA, and laboratory strains. Our findings demonstrate that agr functionality is critical for CA-MRSA disease and indicate that an adaptation of the agr regulon to optimize expression of a broad set of virulence determinants may have contributed to the evolution of exceptionally pronounced virulence of CA-MRSA strains. Keywords: wild type vs mutant Wild type vs mutant agr strains.
2011-03-29 | E-GEOD-18793 | biostudies-arrayexpress