Ontology highlight
ABSTRACT:
PROVIDER: PRJNA804714 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17978600_1.fastq.gz | Fastqsanger.gz | |||
| SRR17978600_2.fastq.gz | Fastqsanger.gz | |||
| SRR17978700_1.fastq.gz | Fastqsanger.gz | |||
| SRR17978700_2.fastq.gz | Fastqsanger.gz | |||
| SRR17978800_1.fastq.gz | Fastqsanger.gz |
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Project description:To investigate how stimulation from indigenous bacteria for a day affects the local transcriptome of both Peyer's patch and surrounding ordinary mucosa in the rat ileum, we treated rats with a nonabsorbable antibiotics cocktail (vancomycin, polymyxin B and sucrose) for antibiotics-treatment group or sucrose solution for control group in drinking water 1 day before euthanasia. We then performed gene expression profiling analysis using data obtained from RNA-seq of ileal Peyer's patch and surrounding ordinary tissue from rats with or without antibiotics treatment.
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Project description:Tan2012 - Antibiotic Treatment, Inoculum Effect
The efficacy of many antibiotics decreases with increasing bacterial density, a phenomenon called the ‘inoculum effect’ (IE). This study reveals that, for ribosome-targeting antibiotics, IE is due to bistable inhibition of bacterial growth, which reduces the efficacy of certain treatment frequencies.
This model is described in the article:
The inoculum effect and band-pass bacterial response to periodic antibiotic treatment.
Tan C, Phillip Smith R, Srimani JK, Riccione KA, Prasada S, Kuehn M, You L.
Mol Syst Biol. 2012 Oct 9; 8:617
Abstract:
The inoculum effect (IE) refers to the decreasing efficacy of an antibiotic with increasing bacterial density. It represents a unique strategy of antibiotic tolerance and it can complicate design of effective antibiotic treatment of bacterial infections. To gain insight into this phenomenon, we have analyzed responses of a lab strain of Escherichia coli to antibiotics that target the ribosome. We show that the IE can be explained by bistable inhibition of bacterial growth. A critical requirement for this bistability is sufficiently fast degradation of ribosomes, which can result from antibiotic-induced heat-shock response. Furthermore, antibiotics that elicit the IE can lead to 'band-pass' response of bacterial growth to periodic antibiotic treatment: the treatment efficacy drastically diminishes at intermediate frequencies of treatment. Our proposed mechanism for the IE may be generally applicable to other bacterial species treated with antibiotics targeting the ribosomes.
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Project description:RNA-seq based transcriptome profiling allows a detailed molecular analysis of the E.coli transcriptome (~4200 genes) after perturbation with different antibiotics. Transcriptome fingerprints enable the identification of gene and pathway level responses to treatment to derive a mechanistic understanding of antibiotics mode of action and to differentiate antibiotics. For this goal, treatment has to be performed in a short time period and with sublethal concentrations of the antibiotics. Sublethal concentrations were chosen based on the EC90 concentration of the antibiotic necessary to change the cellular morphology compared to control conditions. Conclusions: Our study represents the first detailed analysis of E.coli transcriptomes after treatment with different antibiotics, with biologic replicates, generated by RNA-seq technology. The experimental design and data analysis reported here should provide a framework for comparative investigations of expression profiles of known and novel antibiotics. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
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