Ontology highlight
ABSTRACT:
PROVIDER: PRJNA555603 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9881660.fastq.gz | Fastqsanger.gz | |||
| SRR9881661.fastq.gz | Fastqsanger.gz | |||
| SRR9881662.fastq.gz | Fastqsanger.gz | |||
| SRR9881663.fastq.gz | Fastqsanger.gz | |||
| SRR9881664.fastq.gz | Fastqsanger.gz |
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Project description:Transcriptomics and metabolomics to identify drivers of seed composition in oat
| PRJNA555605 | ENA
Project description:Background & Aims: Non-alcoholic fatty liver disease (NALFLD)-associated changes in gut microbiota are important drivers of disease progression toward fibrosis. Therefore, reversing microbiota alterations could ameliorate NAFLD progression. Oat beta-glucan, a non-digestible polysaccharides, has shown promising therapeutic effects on hyperlipidemia associated with NAFLD, but its impact on gut microbiota and most importantly NAFLD fibrosis remains unknown. Methods: We performed detailed metabolic phenotyping including body composition, glucose tolerance, and lipid metabolism as well as comprehensive characterization of the gut-liver axis in a western-style diet (WSD)-induced model of NAFLD and assessed the effect of a beta-glucan intervention on early and advanced liver disease. Gut microbiota was modulated using broad-spectrum antibiotic (Abx) treatment. Results: Oat beta-glucan supplementation did not affect WSD-induced body weight gain, glucose intolerance, and the metabolic phenotype remained largely unaffected. Interestingly, oat beta-glucan dampened NAFLD inflammation, associated with significantly reduced monocyte-derived macrophages (MoMFs) infiltration, fibroinflammatory gene expression, and strongly reduced fibrosis development. Mechanistically, this protective effect was not mediated by changes in bile acid composition or signaling, but was dependent on gut microbiota and was lost upon Abx treatment. Specifically, oat beta-glucan partially reversed unfavorable changes in gut microbiota, resulting in an expansion of protective taxa, including Ruminococcus, and Lactobacillus followed by reduced translocation of TLR ligands. Conclusions: Our findings identify oat beta-glucan as a highly efficacious food supplement that dampens inflammation and fibrosis development in diet-induced NAFLD. These results, along with its favorable dietary profile, suggest that it may be a cost-effective and well-tolerated approach to preventing NAFLD progression and should be assessed in clinical studies.
2024-01-01 | GSE246738 | GEO
Project description:Energy densification and enrichment of monounsaturated fatty acids increases oat’s nutritional value among small grain cereals. However, optimization of oat oil traits is challenging through conventional breeding. Using the biolistic method for oat’s oil improvement, here we showed that metabolic engineering is a feasible strategy in improving the oil traits of oat. In this study, two constructs containing three genes involved in lipid biosynthesis pathway (AtWRI1, AtDGAT, and SiOLEOSIN) were transformed into oat cultivar ‘Park’ to enhance the oil composition and content in oat grain and leaves. We performed RNA-sequencing in mature seeds and boot leaves of trasngenic lines. Transgene expression contributed to a global transcriptional reprogramming in oat seeds and leaves. Endogenous DGAT, WRI1, and OLEOSIN genes were up regulated while the genes involved in fatty acid biosynthesis expressed in opposite way between oat seeds and leaves. Transcriptomic studies revealed differential gene expression mainly enriched in lipid metabolism.
2024-12-06 | GSE249079 | GEO
Project description:To correlate transcriptomics profile with metabolomics profile, gene expression of root and aerial organs from four phenotypically (metabolomics) diverse ecotypes were compared.
2013-11-10 | E-MEXP-2984 | biostudies-arrayexpress
Project description:Ten mutants with altered seed composition traits were identified in a soybean fast neutron population (Bolon et al. 2014). These mutant lines were maintained to an advanced generation (ranging between M5 and M9) and compared to their wild-type parent (M92-220-Long) using CGH to identify the causative region/gene associated with the seed composition changes.
2018-08-16 | GSE118594 | GEO
Project description:Four seed composition mutants (known as G15FN-109-1, G15FN-12-1, G15FN-23-3, and G15FN-54-3) were identified in a soybean fast neutron population developed in southern U.S. lines. The parent line for G15FN-109-1 is G00-3880, while the parent line for the other three mutants is G00-3213. Each mutant was compared to its respective parent line using CGH to identify the causative region/gene associated with the seed composition phenotypes.
2019-01-24 | GSE125533 | GEO
Project description:The interplay between pathogens and hosts has been studied for decades using targeted approaches such as the analysis of mutants and host immunological responses. Although much has been learned from such studies, they focus on individual pathways and fail to reveal the global effects of infection on the host. To alleviate this issue, high-throughput methods such as transcriptomics and proteomics have been used to study host-pathogen interactions. Recently, metabolomics was established as a new method to study changes in the biochemical composition of host tissues. We report a metabolomics study of Salmonella enterica serovar Typhimurium infection. We used Fourier Transform Ion Cyclotron Resonance Mass Spectrometry with Direct Infusion to reveal that dozens of host metabolic pathways are affected by Salmonella in a murine infection model. In particular, multiple host hormone pathways are disrupted. Our results identify unappreciated effects of infection on host metabolism and shed light on mechanisms used by Salmonella to cause disease, and by the host to counter infection. Female C57BL/6 mice were infected with Salmonella enterica serovar Typhimurium SL1344 cells by oral gavage. Feces and livers were collected and metabolites extracted using acetonitrile. For experiments with feces, samples were collected from 4 mice before and after infection. For liver experiments, 11 uninfected and 11 infected mice were used. Samples were combined into 3 groups of 3-4 mice each, resulting in the analysis of 3 group samples of uninfected and 3 of infected mice. Extracts were infused into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140 [PMID 19081807]). To identify differences in metabolite composition between uninfected and infected samples, we filtered the list of masses for metabolites which were present on one set of samples but not the other. Additionally, we calculated the ratios between averaged intensities of metabolites from uninfected and infected mice. To assign possible metabolite identities, monoisotopic neutral masses of interest were queried against MassTrix (http://masstrix.org). Masses were searched against the Mus musculus database within a mass error of 3 ppm. Data were analyzed by unpaired t tests with 95% confidence intervals.
2011-02-08 | E-GEOD-21720 | biostudies-arrayexpress