Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
55
datasets available to search
ShareScore release 0.9.0
Dataset results
55 results for “Pseudomonas aeruginosa; Pseudomonas aeruginosa PAO1”
Gene expression data from Pseudomonas aeruginosa PAO1 and mutator (Δ mutS) evolved for 940 generations in LB with and without sub-inhibitory concentrations of ciprofloxacin (0.05µg/ml)
GEO Series GSE78255. Pseudomonas aeruginosa. 42 samples. Type: Expression profiling by array.
D-Glutamate Utilization in Pseudomonas aeruginosa PAO1
GEO Series GSE46603. Pseudomonas aeruginosa PAO1; Pseudomonas aeruginosa. 6 samples. Type: Expression profiling by array.
Gene expression in PAO1, clonal AES-1 and non-clonal isolates of Pseudomonas aeruginosa
GEO Series GSE6122. Pseudomonas aeruginosa. 18 samples. Type: Expression profiling by array.
Expression data from Pseudomonas aeruginosa PAO1 and an isogenic HCN negative mutant (PAO6344), grown under cyanogenic conditions.
GEO Series GSE48587. Pseudomonas aeruginosa; Pseudomonas aeruginosa PAO1. 4 samples. Type: Expression profiling by array.
Expression data from Pseudomonas aeruginosa PAO1 and its isogenic ampR mutant in the presence and absence of sub-MIC ß-lactam exposure.
GEO Series GSE33188. Pseudomonas aeruginosa. 12 samples. Type: Expression profiling by array.
The response of Pseudomonas aeruginosa strains PAO1 and FRD1 to 10 mM calcium under planktonic and biofilm conditions
GEO Series GSE74491. Pseudomonas aeruginosa. 20 samples. Type: Expression profiling by array.
Transcriptome Analysis of Agmatine and Putrescine Catabolism in Pseudomonas aeruginosa PAO1
GEO Series GSE9926. Pseudomonas aeruginosa. 6 samples. Type: Expression profiling by array.
Transcriptome of Pseudomonas aeruginosa PAO1 genes induced by exposure to extracellular DNA
GEO Series GSE144365. Pseudomonas aeruginosa. 6 samples. Type: Expression profiling by high throughput sequencing.
Expression of RpoN molecular roadblock in Pseudomonas aeruginosa PAO1 in rich media
GEO Series GSE35632. Pseudomonas aeruginosa PAO1; Pseudomonas aeruginosa. 16 samples. Type: Expression profiling by array.
Response of Pseudomonas aeruginosa PAO1 to low shear modeled microgravity
GEO Series GSE16970. Pseudomonas aeruginosa; Pseudomonas aeruginosa PAO1. 8 samples. Type: Expression profiling by array.
Expression data from Pseudomonas aeruginosa PAO1 treated with phenylacetic acid
GEO Series GSE43641. Pseudomonas aeruginosa; Pseudomonas aeruginosa PAO1. 4 samples. Type: Expression profiling by array.
Comparative transcriptomic profiling of overexpression of PsrA in Pseudomonas aeruginosa PAO1
GEO Series GSE249518. Pseudomonas aeruginosa. 2 samples. Type: Expression profiling by high throughput sequencing.
High-time-resolution time-series transcriptome data of Pseudomonas aeruginosa PAO1 under two inverted oxygen-availability transitions
GEO Series GSE52445. Pseudomonas aeruginosa PAO1; Pseudomonas aeruginosa. 28 samples. Type: Expression profiling by array.
Genomic DNA hybridization of Pseudomonas aeruginosa strains PAO1 and PA14
GEO Series GSE67038. Pseudomonas aeruginosa. 2 samples. Type: Genome variation profiling by array.
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.
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.
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.
The ParS/ParR regulon in Pseudomonas aeruginosa PAO1
GEO Series GSE44681. Pseudomonas aeruginosa PAO1. 9 samples. Type: Expression profiling by high throughput sequencing.
Effect of long-term exposure of platinum nanopariticles on gene expression of Pseudomonas aeruginosa PAO1
GEO Series GSE218408. Pseudomonas aeruginosa. 9 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional modulation of Quoring-sensing signaling throught QslA in Pseudomonas aeruginosa PA14 and PAO1.
GEO Series GSE125646. Pseudomonas aeruginosa PAO1; Pseudomonas aeruginosa PA14. 4 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.