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332 results for “environmental conditions”
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.
Characterization of Biofilm Formation, Growth, and Gene Expression on Different Materials and Environmental Conditions in Microgravity (Morphology of Penicillium rubens 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 Penicillium rubens using the confocal microscopy assay.
Environmental and simulation facility conditions can modulate a behavioral-driven altered gravity response of Drosophila imagoes transcriptome
Genome-wide transcriptional profiling shows that reducing gravity levels in the International Space Station (ISS) causes important alterations in Drosophila gene expression. However simulation experiments on ground without space constraints show weaker effects than space environment. A global and integrative analysis using the gene expression dynamics inspector (GEDI) self-organizing maps reveals a subtle response of the transcriptome using different populations and microgravity and hypergravity simulation devices. These results suggest that in addition to behavioural responses that can be detected also at the gene expression level the transcriptome is finely tuned to normal gravity. The alteration of this constant parameter on Earth can have effects on gene expression that depends both on the environmental conditions and the ground based facility used to compensate the gravity vector. Alternative and commons effects of mechanical facilities like the Random Positioning Machine and a centrifuge and strong magnetic field ones like a cryogenically cooled superconductive magnet are discussed. We compare the effects over the gene expression profile of different gender/age Drosophila imagoes in 3-4 days-long experiments under altered gravity conditions into three GBF (Ground Based Facilities for micro/hyper- gravity simulation) using whole genome microarray platforms. Descriptions of different GBFs (treatments): LDC means Large Diameter Centrifuge. Samples can be placed under three conditions: inside LDC (at certain g level) at the LDC rotational control and at external 1g control (outside the LDC). RPM means Random Positioning Machine. Samples can be placed under two conditions: inside RPM (at nearly 0g Microgravity level) and at external 1g control (outside the RPM). At the magnet means INSIDE the Magnetic levitator (another GBF). Samples can be placed under four conditions: inside Magnet 0g* (at microgravity with magnetic field) inside Magnet at 1g* (internal control with magnetic field) or inside the magnet 2g* (at hypergravity with magnetic field) and at external 1g control (outside the magnet)
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.
Lsr2 and its novel paralogue mediate the adjustment of Mycobacterium smegmatis to unfavorable environmental conditions
GEO Series GSE169318. Mycolicibacterium smegmatis MC2 155. 11 samples. Type: Expression profiling by high throughput sequencing.
Denitrifying bacterial assemblages respond to environmental conditions of a shallow estuary
GEO Series GSE98190. uncultured bacterium; synthetic construct. 8 samples. Type: Other.
FIGURE 1 in First record of Amorphinopsis atlantica (Porifera: Demospongiae: Halicondriidae) in the Paraguaçu River estuary: Is its presence an invasion or an adaptation to changing environmental conditions?
FIGURE 1. Occurence of Amorphinopsis atlantica in Central and South American Atlantic Ocean.
Environmental conditions influence the expression of the Streptococcus pyogenes R28 surface protein promoting the colonization in the female genital tract
GEO Series GSE130535. Streptococcus pyogenes. 6 samples. Type: Expression profiling by high throughput sequencing.
Environmental and simulation facility conditions can modulate a behavioral-driven altered gravity response of Drosophila imagoes transcriptome
GEO Series GSE33801. Drosophila melanogaster. 50 samples. Type: Expression profiling by array.
Influence of environmental conditions and AI2 on the adhesion adaptive response of Lactobacillus acidophilus NCFM
GEO Series GSE5674. Lactobacillus acidophilus. 4 samples. Type: Expression profiling by array.
Environmental data for evaluation of Chinstrap Penguin foraging behaviour in Harmony Point, Nelson Island, during two years of contrasting conditions.
<p>This dataset includes:</p> <p>1 - a time series of environmental variables subsetted for the Area 48.1 (Antarctic Peninsula);</p> <p>2 - Monthly averaged data on chlorophyll-a concentration CHL, photosynthetically available/active radiation PAR (NASA OB.DAAC 2018a,b), fractional sea ice cover SIC and surface wind speed SWS (GMAO 2015) for a 75km radius around Harmony Point, Nelson Island, maritime Antarctic Peninsula;</p> <p>3 - Antarctic Krill (Euphausia superba) NASC (Nautical Area Scattering Coefficient, m2 nmi−2) acoustic estimated density for december/january 2019/20 and 2021/22, acoustic surveys were carried out in the research vessel boat "<em>RS Karpuj</em>" within the area used by penguins;</p> <p>3 - Foraging trip -level summarized data from 27 chinstrap penguins tracked with Axy-trek marine loggers (40 x 20 x 8 mm, 14g, GPS logger, time depth recorder TDR and accelerometer) during late incubation and early chick-rearing, december/january 2019/20 and 2021/22;</p> <p>4 - Colony-level breeding success estimated as chicks raised per nest in d2019/20 and 2021/22 breeding seasons.</p> <p>Data collection was supported by Áreas Marinas Protegidas program of the Instituto Antártico Chileno (AMP 24 03 052).</p>
Supplementary materials: Environmental conditions for Danish storage buildings, reviewing 20 years of air quality surveys
<p>S1: Extended information on sites</p> <p>S2: Origin of data, list of previous studies</p> <p>S3: Method: technical details and suppliers list</p> <p>S4: Temperature, RH, TWPI and energy consumption</p> <p>S5: Formic and acetic acid concentration, summer and winter</p> <p>S6: Ozone and nitrogen dioxide measurements, and air exchange rates</p>
ScienceDex guides
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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.