Microbiome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA892010 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:swine manure composting Raw sequence reads
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Project description:Today, swine is regarded as promising biomedical model, however, its gastrointestinal microbiome dynamics have been less investigated than that of humans or murine models . The aim of this study was to establish a high-throughput multi-omics pipeline to investigate the healthy fecal microbiome of swine and its temporal dynamics as basis for future infection studies. To this end, a homogenization protocol based on deep-frozen feces followed by integrated sample preparation for different meta-omics analyses was developed. Subsequent data integration linked microbiome composition with function, i.e. expressed proteins and secreted metabolites.
2021-02-15 | PXD020775 | Pride
Project description:Microbiome sequencing model is a Named Entity Recognition (NER) model that identifies and annotates microbiome nucleic acid sequencing method or platform in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with sequencing metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications
2022-02-21 | MODEL2202170012 | BioModels
Project description:Bovine manure composting Genome sequencing and assembly
| PRJNA1086122 | ENA
Project description:Aging is associated with declining immunity and inflammation as well as alterations in the gut microbiome with a decrease of beneficial microbes and increase in pathogenic ones. The aim of this study was to investigate aging associated gut microbiome in relation to immunologic and metabolic profile in a non-human primate (NHP) model. 12 old (age>18 years) and 4 young (age 3-6 years) Rhesus macaques were included in this study. Immune cell subsets were characterized in PBMC by flow cytometry and plasma cytokines levels were determined by bead based multiplex cytokine analysis. Stool samples were collected by ileal loop and investigated for microbiome analysis by shotgun metagenomics. Serum, gut microbial lysate and microbe-free fecal extract were subjected to metabolomic analysis by mass-spectrometry. Our results showed that the old animals exhibited higher inflammatory biomarkers in plasma and lower CD4 T cells with altered distribution of naïve and memory T cell maturation subsets. The gut microbiome in old animals had higher abundance of Archaeal and Proteobacterial species and lower Firmicutes than the young. Significant enrichment of metabolites that contribute to inflammatory and cytotoxic pathways was observed in serum and feces of old animals compared to the young. We conclude that aging NHP undergo immunosenescence and age associated alterations in the gut microbiome that has a distinct metabolic profile.
2022-02-01 | E-MTAB-10160 | biostudies-arrayexpress