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697 results for “Staphylococcus Aureus”

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geo20/100

Expression from Staphylococcus aureus strain USA300-lac during low and 2M NaCl exposure

GEO Series GSE46383. Staphylococcus aureus; Staphylococcus aureus subsp. aureus USA300. 4 samples. Type: Expression profiling by array.

openGEO-OpenJul 2013View details →
geo20/100

The iron starvation response of the Staphylococcus aureus hemB small colony variant (SCV)

GEO Series GSE184082. Staphylococcus aureus subsp. aureus USA300. 15 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2022View details →
geo20/100

Profiling downregulation of the mevalonate pathway in Staphylococcus aureus

GEO Series GSE13424. Staphylococcus aureus subsp. aureus RN4220; Staphylococcus aureus. 24 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2009View details →
geo20/100

Activity of SigB Modulates Virulence Gene Expression in a Murine Staphylococcus aureus Infection Model but Does Not Influence the Host Kidney Gene Expression

GEO Series GSE28540. Mus musculus. 24 samples. Type: Expression profiling by array.

openGEO-OpenOct 2011View details →
geo20/100

Changes in the Staphylococcus aureus transcriptome during early adaptation to the lung

GEO Series GSE30544. Staphylococcus aureus. 21 samples. Type: Expression profiling by array.

openGEO-OpenSep 2011View details →
geo20/100

RNA-seq reveals differential gene expression in Staphylococcus aureus at single-nucleotide resolution

GEO Series GSE48896. Staphylococcus aureus. 3 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2013View details →
geo20/100

Coinduction of DNA Uptake and Fermentative Metabolism in Staphylococcus aureus During Infection

GEO Series GSE155016. Staphylococcus aureus. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
geo20/100

Transcriptome analysis of a Staphylococcus aureus mutant defective in the transcription termination factor Rho.

GEO Series GSE70041. Staphylococcus aureus subsp. aureus NCTC 8325; Staphylococcus aureus. 16 samples. Type: Expression profiling by genome tiling array.

openGEO-OpenMar 2016View details →
geo20/100

The SaeR/S Gene Regulatory System is Essential for Innate Immune Evasion by Staphylococcus aureus

GEO Series GSE15067. Staphylococcus aureus; Chlamydia muridarum; Staphylococcus epidermidis RP62A; Chlamydia caviae GPIC; Staphylococcus haemolyticus JCSC1435; Coxiella burnetii; Rickettsia rickettsii; Chlamydia pneumoniae AR39; Staphylococcus epidermidis ATCC 12228; Staphylococcus aureus subsp. aureus MW2; Granulibacter bethesdensis; Borreliella burgdorferi B31; Coxiella burnetii RSA 493; Chlamydia trachomatis D/UW-3/CX. 12 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2010View details →
geo20/100

Neutrophil-derived IL-1β is sufficient for abscess formation in immunity against Staphylococcus aureus in mice

GEO Series GSE36826. Mus musculus. 12 samples. Type: Expression profiling by array.

openGEO-OpenDec 2012View details →
nasa20/100

Response of Staphylococcus aureus physiology and Agr quorum sensing to low shear modelled microgravity

Staphylococcus aureus is commonly isolated from astronauts returning from spaceflight missions. Previous analysis of BRIC-23 omics data generated from S. aureus low Earth orbit cultures indicated significantly increased expression of the Agr quorum sensing system and its downstream targets in spaceflight samples compared to ground controls. In this current study, the rotary cell culture system (RCCS) was used to investigate the effect of low shear modelled microgravity (LSMMG) on S. aureus physiology and Agr activity. When cultured in BRIC-23 medium and temperature conditions, S. aureus LSMMG cultures exhibited decreased agr expression and altered growth compared to normal gravity control cultures, which are typically oriented with gas permeable membrane on bottom of the high aspect rotating vessel (HARV). However, when grown in an inverted gravity control orientation (membrane on top of the HARV), reduced Agr activity was observed relative to both traditional control and LSMMG cultures, signifying that oxygen availability may affect the observed differences in agr expression. Metabolite assays revealed increased lactate and decreased acetate excretion in both LSMMG and inverted control cultures. Secretomics analysis of LSMMG, control, and inverted control HARV culture supernatants corroborated these results, with inverted and LSMMG cultures exhibiting decreased abundance of Agr-regulated virulence factors and increased abundance of low-oxygen metabolic proteins. Collectively, these studies suggest that orientation of the HARV gas permeable membrane can affect S. aureus physiology and Agr quorum sensing in the RCCS, a variable that should be considered when interpreting data using this ground-based microgravity model.

restrictednotspecifiedApr 2025View details →
nasa20/100

Altered Quorum Sensing and Physiology of Staphylococcus aureus During Spaceflight Detected by Multi-omics Data Analysis (BRIC-23: Secretomics)

Staphylococcus aureus colonizes the nares of approximately 30% of humans, a risk factor for opportunistic infections. Because of the potential threat of S. aureus to astronaut health, the effect of spaceflight conditions on this pathogen is of great interest. To gain insight into the virulence potential of S. aureus in the spaceflight environment, we performed differential expression (DE) analysis of RNA-Seq and cellular proteomics data from the “Biological Research in Canisters-23” (BRIC-23) GeneLab spaceflight experiment, a mission designed to measure the response of S. aureus to growth in low earth orbit (LEO) on the international space station (ISS). This experiment used Biological Research in Canisters-Petri Dish Fixation Units (BRIC-PDFUs) to grow asynchronous ground controls (GCs) and spaceflight cultures of S. aureus for 48 hours. Analysis of the RNA-Seq data revealed that RNAIII, the effector of the Accessory Gene Regulator (Agr) quorum sensing system, was the most highly upregulated gene in spaceflight cultures (~88-fold) relative to GCs. Genes of the agr operon (~14 fold) were also highly upregulated during spaceflight, followed by genes encoding secreted phenol-soluble modulins (PSMs) and secreted proteases, all of which are positively regulated by Agr. Upregulated spaceflight genes/proteins also had functions related to urease activity, Ess secretion, and copper transport. We also performed a secretome analysis of culture supernatant samples from BRIC-23. In line with the other BRIC-23 omics data, spaceflight supernatants displayed significantly increased abundance of several known secreted virulence factors, including Agr-regulated proteases (SspA, SspB), staphylococcal nuclease (Nuc), and EsxA, a small protein secreted by the type VII-like Ess secretion system. These data also suggested that S. aureus metabolism is altered in space flight conditions relative to the ground controls (increased amino acid metabolism, TCA cycle and PTS systems, and decreased glycolysis/fermentation and translation machinery). Collectively, these data suggest that S. aureus experiences increased quorum sensing and altered expression of virulence factors in response to the spaceflight environment that may impact its pathogenic potential.

restrictednotspecifiedApr 2025View details →
nasa20/100

BRIC-23 GeneLab Process Verification Test: Staphylococcus aureus transcriptomic, proteomic, and metabolomic data

Microbes interact with humans in complex ways and understanding how they respond to the spaceflight environment is important to the success of future manned spaceflight missions. The BRIC-23 mission was designed to measure the response of Bacillus subtilis and Staphylococcus aureus to the spaceflight environment. This experiment aimed to produce high quality omics data from B. subtilis and S. aureus grown aboard the International Space Station (ISS) to allow comparison to matched ground controls. There were two primary objectives for this experiment: (1) Demonstrate all post-flight processes and operations required for successful completion of GeneLab Reference Missions conducted on ISS, and (2) Generate high quality GeneLab Reference Mission omics data sets for two prokaryotic model organisms, Bacillus subtilis and Staphylococcus aureus. Freezing Control Experiment: The BRIC hardware has significant thermal inertia, thus the freezing rate of samples placed at -80 C is quite slow. This could affect RNA-sequencing, proteomic and metabolic data sets. In an effort to understand how slow freezing could affect these data sets, a control experiment was designed in which B. subtilis and S. aureus were grown in petri plates and either slow frozen to -80 C at a rate matching the BRIC-23 spaceflight samples or processed immediately to harvest RNA and protein. B.subtilis omics data is deposited in GLDS-138.

restrictednotspecifiedApr 2025View details →
nasa20/100

BRIC-23 GeneLab Process Verification Test: Staphylococcus aureus transcriptomic proteomic and metabolomic data

Microbes interact with humans in complex ways and understanding how they respond to the spaceflight environment is important to the success of future manned spaceflight missions. The BRIC-23 mission was designed to measure the response of Bacillus subtilis and Staphylococcus aureus to the spaceflight environment. This experiment aimed to produce high quality omics data from B. subtilis and S. aureus grown aboard the International Space Station (ISS) to allow comparison to matched ground controls. There were two primary objectives for this experiment: (1) Demonstrate all post-flight processes and operations required for successful completion of GeneLab Reference Missions conducted on ISS and (2) Generate high quality GeneLab Reference Mission omics data sets for two prokaryotic model organisms Bacillus subtilis and Staphylococcus aureus. Freezing Control Experiment: The BRIC hardware has significant thermal inertia thus the freezing rate of samples placed at -80 C is quite slow. This could affect RNA-sequencing proteomic and metabolic data sets. In an effort to understand how slow freezing could affect these data sets a control experiment was designed in which B. subtilis and S. aureus were grown in petri plates and either slow frozen to -80 C at a rate matching the BRIC-23 spaceflight samples or processed immediately to harvest RNA and protein.

restrictednotspecifiedMar 2025View details →
geo16/100

The effects of Erastin on the proliferation of Staphylococcus aureus in mouse macrophages

GEO Series GSE271290. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenJan 2025View details →
geo16/100

Host response in cells from broncho-alveolar lavage (BAL) isolated from mice infected with influenza virus (PR8) and/or Staphylococcus aureus (Newman)

GEO Series GSE83359. Mus musculus. 14 samples. Type: Expression profiling by array.

openGEO-OpenSep 2016View details →
geo16/100

Methicillin-resistant Staphylococcus aureus strain ST398 shows abundant cis-regulatory transcription with limited antisense and intergenic expression upon linezolid stress

GEO Series GSE272244. Staphylococcus aureus. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2025View details →
geo16/100

Wnt-Activating Human Skin Organoid Model of Atopic Dermatitis Induced by Staphylococcus aureus and Its Protective Effects by Cutibacterium acnes

GEO Series GSE211868. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo16/100

Synergistic antibacterial mechanism of benzyl isothiocyanate and resveratrol against Staphylococcus aureus revealed by transcriptomic analysis

GEO Series GSE278127. Staphylococcus aureus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2025View details →
geo16/100

Dysregulation of cell envelope homeostasis in Staphylococcus aureus exposed to solvated lignin

GEO Series GSE198912. Staphylococcus aureus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2022View details →

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