Ontology highlight
ABSTRACT:
PROVIDER: PRJNA387511 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Planktonic and biofilm cells of Bacillus cereus ATCC 14579 and ATCC 10987 were studied using microscopy and transcriptome analysis. By microscopy, clear differences could be observed between biofilm and planktonic cells as well as between the two strains. By using hierarchical clustering of the transcriptome data, little difference was observed between the biofilm cells of B. cereus ATCC 14579 and ATCC 10987. Different responses between biofilm and planktonic cells could be identified using transcriptome analysis. Biofilm formation seemed to cause a shift in metabolism with up- or down-regulation of genes involved in different metabolic pathways. Genes involved in motility were down-regulated. No clear up-regulation related to capsular or extracellular polysaccharides was observed. Sporulation was observed in biofilm cells using microscopy, which was corroborated with up-regulation of genes involved in sporulation in biofilm cells. The results obtained in this study provide insight in general and strain specific behavior of B. cereus cells in multicellular communities.
2015-10-10 | GSE24620 | GEO
Project description:Planktonic and biofilm cells of Bacillus cereus ATCC 14579 and ATCC 10987 were studied using microscopy and transcriptome analysis. By microscopy, clear differences could be observed between biofilm and planktonic cells as well as between the two strains. By using hierarchical clustering of the transcriptome data, little difference was observed between the biofilm cells of B. cereus ATCC 14579 and ATCC 10987. Different responses between biofilm and planktonic cells could be identified using transcriptome analysis. Biofilm formation seemed to cause a shift in metabolism with up- or down-regulation of genes involved in different metabolic pathways. Genes involved in motility were down-regulated. No clear up-regulation related to capsular or extracellular polysaccharides was observed. Sporulation was observed in biofilm cells using microscopy, which was corroborated with up-regulation of genes involved in sporulation in biofilm cells. The results obtained in this study provide insight in general and strain specific behavior of B. cereus cells in multicellular communities.
2015-10-10 | GSE24619 | GEO
Project description:We developed a spatially resolved method to profile the spatial transcriptome of biofilm. In detail, we used fluorescent dyes to label the different regions of biofilm cultured in a microfluidic chip. After staining, the bacterial cells in biofilm were sorted into relevant bins according to their spatial information marked by the fluorescent pattern. Finally, miniBac-seq (RNA-seq) method was applied to capture the transcriptome of each bin.
2023-01-01 | GSE197541 | GEO
Project description:Purpose: Study transcriptome differences between biofilm, planktonic and stationary cultures. Methods: Total mRNA from in vitro cultures was extracted and sequenced using Ion Torrent PGM sequencer. Results: Characteristic transcriptomic profile was observed for biofilm, planktonic and stationary cultures. Biofilm and planktonic were similar biological states. Conclusions: Results suggest that H. parasuis F9 has more active metabolism during biofilm or planktonic growth when compared to stationary culture. Some identified membrane-related genes could play an important role in biofilm life.
2014-04-02 | GSE56428 | GEO
Project description:Abstract: Transcriptome analysis was applied to characterize the physiological activities of Pseudomonas aeruginosa grown for three days in drip-flow biofilm reactors. Conventional applications of transcriptional profiling often compare two paired data sets that differ in a single experimentally controlled variable. In contrast this study obtained the transcriptome of a single biofilm state, ranked transcript signals to make the priorities of the population manifest, and compared rankings for a priori identified physiological marker genes between the biofilm and published data sets.
2010-11-20 | GSE22164 | GEO
Project description:Abstract: Transcriptome analysis was applied to characterize the physiological activities of Pseudomonas aeruginosa grown for three days in drip-flow biofilm reactors. Conventional applications of transcriptional profiling often compare two paired data sets that differ in a single experimentally controlled variable. In contrast this study obtained the transcriptome of a single biofilm state, ranked transcript signals to make the priorities of the population manifest, and compared rankings for a priori identified physiological marker genes between the biofilm and published data sets. Two drip flow biofilm conditions with three replicates each: (1) baseline control at 72hrs, (2) no treatment for 12 hours past baseline. Data from these two conditions were pooled
2010-11-20 | E-GEOD-22164 | biostudies-arrayexpress
Project description:Purpose: Study transcriptome differences between biofilm, planktonic and stationary cultures. Methods: Total mRNA from in vitro cultures was extracted and sequenced using Ion Torrent PGM sequencer. Results: Characteristic transcriptomic profile was observed for biofilm, planktonic and stationary cultures. Biofilm and planktonic were similar biological states. Conclusions: Results suggest that H. parasuis F9 has more active metabolism during biofilm or planktonic growth when compared to stationary culture. Some identified membrane-related genes could play an important role in biofilm life. RNA profiles of 36 hours biofilm or planktonic cultures were generated and compared with stationary culture profile.
2014-04-02 | E-GEOD-56428 | biostudies-arrayexpress
Project description:The transcriptome of Actinobacillus pleuropneumoniae 4h static biofilms was compared to the transcriptome of 6h static biofilm
2013-05-20 | GSE43822 | GEO
Project description:Through the use of RNA-seq, we compared the transcriptome of Group A Streptococcus (GAS) at multiple biofilm time points to multiple planktonic time points in order to determine genes that are differentially expressed during biofilm growth.
2016-11-02 | GSE80659 | GEO