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646 results for “Pseudomonas aeruginosa”

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nasa20/100

Response of Pseudomonas aeruginosa PAO1 to low shear modeled microgravity

Anticipating the risk for infectious disease during space exploration and habitation is a critical factor to ensure safety health and performance of the crewmembers. As a ubiquitous environmental organism that is occasionally part of the human flora Pseudomonas aeruginosa could pose a health hazard for the immuno-compromised astronauts. In order to gain insights in the behavior of P. aeruginosa in spaceflight conditions two spaceflight-analogue culture systems i.e. the rotating wall vessel (RWV) and the random position machine (RPM) were used. Microarray analysis of P. aeruginosa PAO1 grown in the low shear modeled microgravity (LSMMG) environment of the RWV compared to the normal gravity control (NG) revealed a regulatory role for AlgU (RpoE). Specifically P. aeruginosa cultured in LSMMG exhibited increased alginate production and up-regulation of AlgU-controlled transcripts including those encoding stress-related proteins. This study also shows the involvement of Hfq in the LSMMG response consistent with its previously identified role in the Salmonella LSMMG- and spaceflight response. Furthermore cultivation in LSMMG increased heat and oxidative stress resistance and caused a decrease in the culture oxygen transfer rate. Interestingly the global transcriptional response of P. aeruginosa grown in the RPM was similar to that in NG. The possible role of differences in fluid mixing between the RWV and RPM is discussed with the overall collective data favoring the RWV as the optimal model to study the LSMMG-response of suspended cells. This study represents a first step towards the identification of specific virulence mechanisms of P. aeruginosa activated in response to spaceflight-analogue conditions and could direct future research regarding the risk assessment and prevention of Pseudomonas infections for the crew in flight and the general public. The wild type P. aeruginosa PAO1 strain (ATCC 15692) was used in this study and all cultures were grown in Lennox L Broth Base (LB) (Life Technologies) at 28 C. An overnight shaking culture (125 r.p.m.) of P. aeruginosa in LB was washed and diluted in 0.85% NaCl solution to an OD600 of 1. This bacterial suspension was used to inoculate fresh LB medium at a final concentration of 10-4 CFU/ml. Synthecon Rotating Wall Vessel bioreactors (RWV) (50 ml or 10 ml) were filled with inoculated medium so that no headspace (i.e. no bubbles) was present. Other than for stress resistance assays for which 10 ml capacity bioreactors were used RWV bioreactors with a capacity of 50 ml were adopted for all experiments. Identical bioreactors were mounted in triplicate on (i) a RWV device in vertical position (LSMMG) (Cellon) (ii) a RWV device in horizontal position (NG) and (iii) the center of the inner Random Positioning Machine (RPM) frame (RG) (Fokker Space) and placed in a large humidified (70%-80% relative humidity) culture chamber to avoid evaporation of culture medium through the gas-permeable membrane at the back of each vessel (Figure 1). A 25 r.p.m. rotation speed was adopted for the RWV cultures while RPM-cultures were randomly rotated at 10 r.p.m. (60 degree/s). Bacteria were grown in the three described test conditions for 24 hours. After 24 hours of cultivation the contents of every bioreactor was gently mixed by pipetting and divided into several aliquots. Ten millilitres of culture from each growth condition was immediately fixed with RNA Protect Reagent (Qiagen) following the manufacturer s instructions and fixed cell pellets were frozen at -20C until RNA extraction. Samples were immediately exposed to different stresses.

restrictednotspecifiedMar 2025View details →
nasa20/100

Characterization of Biofilm Formation, Growth, and Gene Expression on Different Materials and Environmental Conditions in Microgravity (Gene expression of Pseudomonas aeruginosa biofilms)

Microorganisms' natural ability to live as organized multicellular communities – also known as biofilms – provides them with unique survival advantages. For instance, biofilms are protected against environmental stresses thanks to their extracellular matrix, which could contribute to persistent infections after treatment. Biofilms are also capable of strongly attaching to surfaces, where their metabolism byproducts could lead to surface material degradation. Furthermore, microgravity can alter biofilm behavior in unexpected ways, making the presence of biofilms in space a risk for both astronauts and spaceflight hardware. Despite the efforts to eliminate microorganism contamination from spacecrafts surfaces, it is impossible to prevent human-associated bacteria or fungus from eventually establishing biofilm surface colonization. Nevertheless, by understanding the changes that biofilms undergo in microgravity, it is possible to identify key differences and pathways that could be targeted to significantly reduce biofilm formation. The Space Biofilms project, performed at the International Space Station, contributes to such understanding by characterizing the morphology and gene expression of bacterial and fungal biofilms formed in microgravity with respect to ground controls. Pseudomonas aeruginosa was used as model organism for the bacterial morphology and transcriptomic studies, while Penicillium rubens was used for the fungal morphology study. Bacterial biofilm formation was characterized at one, two, and three days of incubation (37°C) over six different materials: stainless steel 316, passivated stainless steel 316, a lubricant impregnated surface (LIS), catheter grade silicone with and without a linear microtopography, and cellulose membrane.

restrictednotspecifiedApr 2025View details →
nasa20/100

Transcriptional and proteomic response of Pseudomonas aeruginosa PAO1 to spaceflight conditions involves Hfq regulation and reveals a role for oxygen

This study describes the transcriptional response of P. aeruginosa PAO1 to low-Earth orbit environmental conditions. Our aim was to assess whether the microgravity environment of spaceflight could induce virulence traits in P. aeruginosa. To this end, P. aeruginosa cultures were grown in space, and the expression profile was compared with ground control samples (both in biological triplicate). Characterization of bacterial behavior in the microgravity environment of spaceflight is of importance towards risk assessment and prevention of infectious disease during long-term missions. Further, this research field unveils new insights into connections between low fluid-shear regions encountered by pathogens during their natural infection process in vivo, and bacterial virulence. This study is the first to characterize the global transcriptomic and proteomic response of an opportunistic pathogen that is actually found in the space habitat, Pseudomonas aeruginosa. Overall, P. aeruginosa responded to spaceflight conditions through differential regulation of 167 genes and 28 proteins, with Hfq identified as a global transcriptional regulator in the response to this environment. Since Hfq was also induced in spaceflight-grown Salmonella typhimurium, Hfq represents the first spaceflight-induced regulator across the bacterial species border. The major P. aeruginosa virulence-related genes induced in spaceflight conditions were the lecA and lecB lectins and the rhamnosyltransferase (rhlA), involved in the production of rhamnolipids. The transcriptional response of spaceflight-grown P. aeruginosa was compared with our previous data of this organism grown in microgravity-analogue conditions using the rotating wall vessel (RWV) bioreactor technology. Interesting similarities were observed, among others with regard to Hfq regulation and oxygen utilization. While LSMMG-grown P. aeruginosa mainly induced genes involved in microaerophilic metabolism, P. aeruginosa cultured in spaceflight adopted an anaerobic mode of growth, in which denitrification was presumably most prominent. Differences in hardware between spaceflight and LSMMG experiments, in combination with more pronounced low fluid shear and mixing in spaceflight when compared to LSMMG conditions, were hypothesized to be at the origin of these observations. Collectively, our data suggest that spaceflight conditions could induce the transition of P. aeruginosa from an opportunistic organism to potential pathogen, results that are of importance for infectious disease risk assessment and prevention, both during spaceflight missions and in the clinic.

restrictednotspecifiedApr 2025View details →
nasa20/100

Characterization of Biofilm Formation, Growth, and Gene Expression on Different Materials and Environmental Conditions in Microgravity (Morphology of Pseudomonas aeruginosa biofilms)

Microorganisms' natural ability to live as organized multicellular communities – also known as biofilms – provides them with unique survival advantages. For instance, biofilms are protected against environmental stresses thanks to their extracellular matrix, which could contribute to persistent infections after treatment. Biofilms are also capable of strongly attaching to surfaces, where their metabolism byproducts could lead to surface material degradation. Furthermore, microgravity can alter biofilm behavior in unexpected ways, making the presence of biofilms in space a risk for both astronauts and spaceflight hardware. Despite the efforts to eliminate microorganism contamination from spacecrafts surfaces, it is impossible to prevent human-associated bacteria or fugus from eventually establishing biofilm surface colonization. Nevertheless, by understanding the changes that biofilms undergo in microgravity, it is possible to identify key differences and pathways that could be targeted to significantly reduce biofilm formation. The Space Biofilms project, performed at the International Space Station, contributes to such understanding by characterizing the morphology and gene expression of bacterial and fungal biofilms formed in microgravity with respect to ground controls. Pseudomonas aeruginosa was used as model organism for the bacterial morphology and transcriptomic studies, while Penicillium rubens was used for the fungal morphology study. The data presented on this study page represent the morphology of Pseudomonas aeruginosa using the confocal microscopy assay.

restrictednotspecifiedApr 2025View details →
geo16/100

Comparative transcriptomic analysis of Pseudomonas aeruginosa isolates from ICU patients with acute and chronic pneumonia

GEO Series GSE180499. Pseudomonas aeruginosa. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2021View details →
geo16/100

Transcriptional response of Pseudomonas aeruginosa PA3 to its phage gene product gp68

GEO Series GSE126873. Pseudomonas aeruginosa. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2019View details →
geo16/100

Transcriptional profile of Pseudomonas aeruginosa infected cells

GEO Series GSE199424. Homo sapiens. 42 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2023View details →
geo16/100

Transcriptional analysis of transposon mutants disrupted in glutathione biosynthesis in Pseudomonas aeruginosa

GEO Series GSE240828. Pseudomonas aeruginosa. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2024View details →
geo16/100

Evolution of the quorum sensing regulon in cooperating populations of Pseudomonas aeruginosa

GEO Series GSE176411. Pseudomonas aeruginosa. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2021View details →
geo16/100

Temperature dependent gene expression levels at 28°C and 37°C for Pseudomonas aeruginosa PAO1

GEO Series GSE36161. Pseudomonas sp. M18; Pseudomonas aeruginosa. 6 samples. Type: Expression profiling by array.

openGEO-OpenMar 2012View details →
geo16/100

Single-cell RNA-seq of Bronchoalveolar Lavage Fluid Immune Cells from Padi2/Padi4 Double Knock-out Mice in Pseudomonas aeruginosa Pneumonia-induced Sepsis

GEO Series GSE274823. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2024View details →
geo16/100

Transcriptional response of Pseudomonas aeruginosa PAO1r to bacteriophage phiYY infection

GEO Series GSE128811. Pseudomonas aeruginosa; Pseudomonas phage phiYY. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2020View details →
geo16/100

Anopheles coluzzii larval response to two purified Pseudomonas aeruginosa phenazine pigments 1-HP and Pyo.

GEO Series GSE89829. Anopheles gambiae; Anopheles coluzzii. 16 samples. Type: Expression profiling by array.

openGEO-OpenMar 2018View details →
geo16/100

Transcriptomic analysis of Pseudomonas aeruginosa under the treatment of bismuth subsalicylate(BSS), eravacycline or the combination

GEO Series GSE223542. Pseudomonas aeruginosa. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2023View details →
geo16/100

Transcriptome of pvcA mutant as compared to parent strain of pseudomonas aeruginosa

GEO Series GSE45973. Pseudomonas aeruginosa. 4 samples. Type: Expression profiling by array.

openGEO-OpenJan 2014View details →
geo16/100

Pulmonary Megakaryocytes Orchestrate Host Defense via PcrV-Induced NF-κB Signaling in Pseudomonas aeruginosa Infection

GEO Series GSE295916. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2025View details →
geo16/100

Novel Mechanisms of Antibiotic Resistance in Mismatch Repair-Deficient Pseudomonas aeruginosa hypermutators

GEO Series GSE180086. Pseudomonas aeruginosa. 74 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2021View details →
geo16/100

Transcriptional response of Pseudomonas aeruginosa PA3 to bacteriophage PaP3 infection

GEO Series GSE129181. Pseudomonas aeruginosa. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2020View details →
geo16/100

Unravelling the genome-wide contributions of specific 2-alkyl-4-quinolones and PqsE to quorum sensing in Pseudomonas aeruginosa

GEO Series GSE81364. Pseudomonas aeruginosa PAO1; Pseudomonas aeruginosa. 10 samples. Type: Expression profiling by array.

openGEO-OpenNov 2020View details →
geo16/100

Transcriptomics analysis of Aspergillus fumigatus co-cultivated with Pseudomonas aeruginosa

GEO Series GSE122391. Aspergillus fumigatus A1163; Pseudomonas aeruginosa PAO1. 27 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2018View details →

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DANDI Archive for NWB datasets

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

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neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record