Ontology highlight
ABSTRACT:
PROVIDER: PRJNA981173 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24866100_1.fastq.gz | Fastqsanger.gz | |||
| SRR24866100_2.fastq.gz | Fastqsanger.gz | |||
| SRR24866101_1.fastq.gz | Fastqsanger.gz | |||
| SRR24866101_2.fastq.gz | Fastqsanger.gz | |||
| SRR24866102_1.fastq.gz | Fastqsanger.gz |
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Project description:To investigate the TVA diet's effect on mouse gut microbiome, we fed C57/BL6 mice with TVA diet or CON diet for 18 days We then collected feces of the mice and performed 16S ribosomal RNA (rRNA) sequencing.
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Project description:Dietary n-3 polyunsaturated fatty acids can reduce inflammation via a range of mechanisms. This study tested the effect of dietary eicosapentaenoic acid (EPA) on intestinal inflammation using interleukin-10 gene-deficient (Il10-/-) mice. Methods: At 35 days of age, 12 weaned Il10-/- and 12 C57 mice were randomly assigned to one of two modified AIN-76A diets, supplemented with 3.7% purified ethyl esters of either EPA (n-3) or oleic acid (OA, control). To identify genes relevant to colon inflammation, transcription profiling (microarrays and qRT-PCR) and bioinformatic analyses were used. Results: In this study, dietary EPA reversed the decrease in colon fatty acid β-oxidation gene expression observed in OA-fed Il10-/- compared to C57 mice. Il10-/- mice fed the OA diet showed decreased expression of antioxidant enzyme genes, as well as those involved in detoxification of xenobiotics, compared to C57 mice on the same diet. In contrast, dietary EPA increased the expression of these genes in Il10-/- mice. Conclusions: These data indicate that dietary EPA induced endogenous lipid oxidation which might have a potential anti-inflammatory effect on colon tissue. This is supported by the activation of the Ppara gene that regulates the expression of pro-inflammatory and immunomodulatory genes and proteins. Experiment Overall Design: The diet abbreviations EPA, OA, AA and CO used in the sample records Experiment Overall Design: refer to the following : Experiment Overall Design: CO : AIN-76A (control) Experiment Overall Design: OA : AIN-76A (fat-free) + 1% corn oil + 3.7% oleic acid Experiment Overall Design: EPA : AIN-76A (fat-free) + 1% corn oil + 3.7% eicosapentaenoic acid Experiment Overall Design: AA : AIN-76A (fat-free) + 1% corn oil + 3.7% arachidonic acid Experiment Overall Design: Corn oil was supplemented with purified linoleic and alpha-linolenic acid to meet the nutritional requirements of mice for these essential fatty acids. Diets fed for 6 weeks.
2008-10-21 | E-GEOD-12028 | biostudies-arrayexpress
Project description:The aim of this study was to directly link intestinal microorganisms to their diet-derived in vivo growth substrates using protein stable isotope fingerprinting (“Protein-SIF”)(Kleiner et al. 2018, PNAS 115(24)). We conducted studies in gnotobiotic mice (C57BL/6J) colonized with a community of 13 human-derived bacterial strains (Desai et al. 2016, Cell 167(5)). There were two groups of mice: group 1 consisted of 5 mice, and group 2 of 6 mice. All mice were fed defined diets modeled on the AIN-93G (EnvigoTeklad) varying in one ingredient source, and a “standard chow” (LabDiet 5010) as a baseline diet before and after the defined diets. Group 1 mice were fed diets differing in protein source (casein, egg whites, soy protein). Group 2 mice were fed diets differing in fiber source (cellulose, inulin, corn fiber), and fat source (corn oil, soybean oil, sunflower oil). Stable carbon isotope ratios for each dietary component were measured using IRMS (table with values is included in submission). Each diet was introduced for 7 days, and fecal samples were collected on the 7th day. We processed samples from the group 1 mice and the group 2 mice as two separate batches. We analyzed the samples by LC-MS/MS. Each sample was run in four consecutive technical replicates to increase the available number of MS1 spectra for SIF calculations. Data were analyzed with Proteome Discoverer followed by the calis-p software for Protein-SIF (https://sourceforge.net/projects/calis-p/). Additionally, this dataset includes diet samples and purified dietary components that were extracted using the same approach as the fecal samples, as well as LC-MS/MS runs of human hair derived peptides used for SIF calibration.
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