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699
datasets available to search
ShareScore release 0.9.0
Dataset results
699 results for “biofilm.”
Expression data from planktonic and biofilm cultures of Mycobacterium smegmatis
GEO Series GSE6935. Mycolicibacterium smegmatis. 12 samples. Type: Expression profiling by array.
Genetic Insights into the Rheological Strength of Candida albicans Biofilms
GEO Series GSE276413. Candida albicans. 12 samples. Type: Expression profiling by high throughput sequencing.
Temporal Biofilm Expression of E. coli K-12 after 4, 7, 15, and 24 hr
GEO Series GSE3905. Escherichia coli; Escherichia coli K-12. 8 samples. Type: Expression profiling by array.
Global transcriptional analysis of S. mutans sugar transporters in biofilm
GEO Series GSE35605. Streptococcus mutans; Streptococcus mutans UA159. 22 samples. Type: Expression profiling by array.
E. coli K-12 mutant ycfR biofilm vs wild type 15 hr LB glu biofilm cells
GEO Series GSE5904. Escherichia coli; Escherichia coli K-12. 2 samples. Type: Expression profiling by array.
Role of a GntR-family response regulator LbrA in Listeria monocytogenes biofilm formation
GEO Series GSE40598. Listeria monocytogenes. 6 samples. Type: Expression profiling by array.
Effect of markerless deletion of ptsP from P. aeruginosa PA14 biofilm colonies on M6301-glycerol agar for 3 d at 25C
GEO Series GSE239971. Pseudomonas aeruginosa. 3 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome of A. pleuropneumoniae biofilms cultured under different growth conditions
GEO Series GSE43824. Actinobacillus pleuropneumoniae serovar 5b str. L20; Actinobacillus pleuropneumoniae. 16 samples. Type: Expression profiling by array.
E. coli K-12 mutant yjgI biofilm vs. wild type biofilm
GEO Series GSE22057. Escherichia coli. 2 samples. Type: Expression profiling by array.
Identification of genes involved with P. aeruginosa biofilms
GEO Series GSE65882. Pseudomonas aeruginosa. 10 samples. Type: Expression profiling by array.
Transcriptional responses of Neisseria gonorrhoeae to glucose and lactate: implications for resistance to oxidative damage and biofilm formation
GEO Series GSE148774. Neisseria gonorrhoeae. 8 samples. Type: Expression profiling by high throughput sequencing.
BW25113 ymgB and W/T in LBglu 24h biofilm cells
GEO Series GSE6925. Escherichia coli; Escherichia coli K-12. 2 samples. Type: Expression profiling by array.
Enterocloster citroniae and related gut microbiome species modulate Vibrio cholerae biofilm formation through the production of bioactive small molecules
GEO Series GSE313194. Vibrio cholerae C6706. 6 samples. Type: Expression profiling by high throughput sequencing.
E. coli K-12 mutants yceP, trpE, and tnaA biofilm cell 24 hr for indole paper
GEO Series GSE4562. Escherichia coli K-12; Escherichia coli. 7 samples. Type: Expression profiling by array.
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.
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.
Regulation of biofilm formation, twitching motility, and virulence in Galleria mellonella by AdeN protein of Acinetobacter baumannii
GEO Series GSE89504. Acinetobacter baumannii ATCC 17978. 4 samples. Type: Expression profiling by high throughput sequencing.
The extracellular matrix protein TasA is a developmental cue that maintains a motile subpopulation within Bacillus subtilis biofilms
GEO Series GSE138015. Bacillus subtilis. 13 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcriptome analysis of biofilm and planktonic cells of Bacillus cereus ATCC 10987
GEO Series GSE24620. Bacillus cereus ATCC 10987. 12 samples. Type: Expression profiling by array.
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.