Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1042894 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To determine whether flow alters the gene expression of planktonic P. aeruginosa, we designed a long microfluidic channel that enabled us to expose bacteria to flow for significant lengths of time and then be fixed as they exit the channel. The experiments mimic the kinds of shear flows characteristic of a wide variety of confined flow configurations. Using this microfluidic system, we performed bulk RNA-Seq analysis of planktonic bacteria that flowed for 55 min at a shear rate of 20 per second, and compared gene expression of this population with a control population of planktonic bacteria under similar conditions with no flow.
2024-07-03 | GSE271426 | GEO
Project description:Epiphytic and planktonic bacteria diversity Targeted Locus (Loci)
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Project description:The transcriptome of Actinobacillus pleuropneumoniae biofilms was compared to the transcriptome of planktonic bacteria
2013-05-20 | GSE43821 | GEO
Project description:The transcriptome of Actinobacillus pleuropneumoniae biofilms was compared to the transcriptome of planktonic bacteria
2013-05-20 | GSE43820 | GEO
Project description:Strain N16961 was incubated with crab shell in artificial seawater media for 24 hours. cDNA from 1 ug RNA was labeled with Cy3 (planktonic bacteria) and Cy5 (crab attached bacteria).
2005-07-21 | E-SMDB-2238 | biostudies-arrayexpress
Project description:Analysis of gingival crevicular fluid (GCF) samples may give information of the identity of unattached (planktonic) subgingival bacteria, the 35 forefront candidates for systemic dispersal via ulcerated periodontal pocket epithelium. Our study represents the first one targeting the identity of bacteria in gingival crevicular fluid. Methodology/Principal findings: We determined bacterial species diversity in GCF samples of a group of periodontitis patients and delineated contributing bacterial and host-associated factors. Subgingival paper point (PP) samples from the same sites were taken for comparison. After DNA extraction, 16S rRNA genes were PCR amplified and DNA-DNA hybridization was performed using a microarray for over 300 bacterial species or groups. Altogether 133 species from 41 genera and 8 phyla 45 were detected with 9 to 62 and 18 to 64 species in GCF and PP samples, respectively, 46 per patient. Projection to latent structures by means of partial least squares (PLS) was applied to the multivariate data analysis. PLS regression analysis showed that species of genera including Campylobacter, Selenomonas, Porphyromonas, Catonella, Tannerella, Dialister, Peptostreptococcus, Streptococcus and Eubacterium had significant positive correlations and the number of teeth with low-grade attachment loss a significant negative correlation to species diversity in GCF samples. OPLS/O2PLS discriminant analysis revealed significant positive correlations to GCF sample group membership for species of genera Campylobacter, Leptotrichia, Prevotella, Dialister, Tannerella, Haemophilus, Fusobacterium, Eubacterium, and Actinomyces. Conclusions/Significance: Among a variety of detected species those traditionally classified as Gram-negative anaerobes growing in mature subgingival biofilms were the main predictors for species diversity in GCF samples as well as responsible for distinguishing GCF samples from PP samples. GCF bacteria may provide new prospects for studying dynamic properties of subgingival biofilms. The microbial profiles of GCF and subgingival plaque were analyzed from 17 subjects with periodontal disease.
2010-05-21 | E-GEOD-21929 | biostudies-arrayexpress