Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of P. aeruginosa biofilms treated with tobramycin grown on CFBE41o- cells

ABSTRACT: We grew Pseudomonas aeruginosa biofilms on CFBE41o- human airway cells in culture, and we treated these biofilms with tobramycin. Microarray analysis was performed to gain an understanding of the global transcriptional changes that occur during antibiotic treatment. Experiment Overall Design: We compared three untreated control samples with three tobramycin-treated samples. Biofilms were grown on CFBE41o- cells in culture for 9 hours in MEM/0.4% arginine. Replicate samples were then incubated in the presence or absence of 500 Î¼g/mL tobramycin for 30 minutes.

ORGANISM(S): Pseudomonas aeruginosa

SUBMITTER: George O'Toole

PROVIDER: E-GEOD-9989 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

In vitro analysis of tobramycin-treated Pseudomonas aeruginosa biofilms on cystic fibrosis-derived airway epithelial cells.

Anderson Gregory G GG Moreau-Marquis Sophie S Stanton Bruce A BA O'Toole George A GA

Infection and immunity 20080122 4

P. aeruginosa forms biofilms in the lungs of individuals with cystic fibrosis (CF); however, there have been no effective model systems for studying biofilm formation in the CF lung. We have developed a tissue culture system for growth of P. aeruginosa biofilms on CF-derived human airway cells that promotes the formation of highly antibiotic-resistant microcolonies, which produce an extracellular polysaccharide matrix and require the known abiotic biofilm formation genes flgK and pilB. Treatment ...[more]

PMID: 18212077

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Project description:Bacteria growing in biofilms are physiologically heterogeneous, due in part to their adaptation to local environmental conditions. Here, we characterized the local transcriptional responses of Pseudomonas aeruginosa growing in biofilms by using microarray analysis of isolated biofilm subpopulations. The results demonstrated that cells at the top of the biofilms had high mRNA abundances for genes involved in general metabolic functions, while mRNAs for these housekeeping genes were low in cells at the bottom of the biofilms. Selective GFP labeling showed that cells at the top of the biofilm were actively dividing. However, the dividing cells had high mRNAs levels for genes regulated by the hypoxia induced regulator, Anr. Slow-growing cells deep in the biofilms had little expression of Anr-regulated genes and may have experienced long-termanoxia. Transcripts for ribosomal proteins were primarily associated with the metabolically active cell fraction, while ribosomal RNAs were abundant throughout the biofilms, indicating that ribosomes are stably maintained even in slowly growing cells. Consistent with these results was the identification of mRNAs for ribosome hibernation factors (rmf and PA4463) at the bottom of the biofilms. A P. aeruginosa M-bM-^HM-^Frmf strain had increased uptake of the membrane integrity stain, propidium iodide. Using selective GFP labeling and cell sorting, we showed that the dividing cells were more susceptible to tobramycin and ciprofloxacin than the dormant subpopulation. The results demonstrate that in thick P. aeruginosa biofilms, cells are physiologically distinct spatially, with cells deep in the biofilm in a viable but antibiotic-tolerant slow-growth state. 52-hour Pseudomonas aeruginosa TSA colony biofilms were cryoembedded, thin sectioned, and laser dissected (LCM) to obtain samples from the top and bottom 50 M-BM-5m of the biofilms. 9 sections per biofilm were pooled. RNA was extracted with the RNeasy Micro kit, Turbo DNase treated, poly(A) tailed, and amplified using the Quantitect WTA kit. After clean up, the resulting product was fragmented and end labeled before hybridization.

Dataset Information

Transcription profiling of P. aeruginosa biofilms treated with tobramycin grown on CFBE41o- cells

Publications

In vitro analysis of tobramycin-treated Pseudomonas aeruginosa biofilms on cystic fibrosis-derived airway epithelial cells.

Similar Datasets

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