Human metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1086951 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gut microbiome research is rapidly moving towards the functional characterization of the microbiota by means of shotgun meta-omics. Here, we selected a cohort of healthy subjects from an indigenous and monitored Sardinian population to analyze their gut microbiota using both shotgun metagenomics and shotgun metaproteomics. We found a considerable divergence between genetic potential and functional activity of the human healthy gut microbiota, in spite of a quite comparable taxonomic structure revealed by the two approaches. Investigation of inter-individual variability of taxonomic features revealed Bacteroides and Akkermansia as remarkably conserved and variable in abundance within the population, respectively. Firmicutes-driven butyrogenesis (mainly due to Faecalibacterium spp.) was shown to be the functional activity with the higher expression rate and the lower inter-individual variability in the study cohort, highlighting the key importance of the biosynthesis of this microbial by-product for the gut homeostasis. The taxon-specific contribution to functional activities and metabolic tasks was also examined, giving insights into the peculiar role of several gut microbiota members in carbohydrate metabolism (including polysaccharide degradation, glycan transport, glycolysis and short-chain fatty acid production). In conclusion, our results provide useful indications regarding the main functions actively exerted by the gut microbiota members of a healthy human cohort, and support metaproteomics as a valuable approach to investigate the functional role of the gut microbiota in health and disease.
2017-07-19 | PXD005780 | Pride
Project description:Shotgun Metagenomics Fecal Microbiome Dysbiosis in Parkinsons Disease
| PRJNA626004 | ENA
Project description:Fecal microbiota in the campyflora study
| PRJNA253527 | ENA
Project description:This project contains raw data, intermediate files and results is a re-analysis of the publicly available dataset from the PRIDE dataset PXD005780. The RAW files were processed using ThermoRawFileParser, SearchGUI and PeptideShaker through standard settings (see ‘Data Processing Protocol’). This reanalysis work is part of the MetaPUF (MetaProteomics with Unknown Function) project, which is a collaboration between EMBL-EBI and the University of Luxembourg. The dataset was selected with the following conditions: 1. It has been made publicly available in PRIDE and focuses on metaproteomics of the human gut; 2. The corresponding metagenomics assemblies were also available from ENA (European Nucleotide Archive) or MGnify. The processed peptide reports for each sample are available to view at the contig level on the MGnify website. In total, the reanalysis identified 15,417 unique proteins from 15 samples.
2022-05-04 | PXD032303 | Pride
Project description:Microbiota Brain Axis in Alzheimers Disease MIND Diet Induced Effects
| PRJNA781978 | ENA
Project description:Microbiota dysbiosis and mucosa-associated bacteria are involved in colorectal cancer progression. We hypothesized that a time-specific interaction between dysbiotic pathobionts and host responses promote tumor growth. This study aimed to elucidate the dysfunctional host-microbe interplay in colon tumorigenesis by using a time-series metagenomics approach. A transient surge in fecal microbial richness was linked to a unique transcriptome profile in the mouse colon during carcinoma transformation. Monitoring gut microbiome may help identifying the window-of-opportunity to induce tumor regression using bacteria-targeted precision medicine.
2021-11-24 | GSE166030 | GEO
Project description:Microbiota dysbiosis and mucosa-associated bacteria are involved in colorectal cancer progression. We hypothesized that a time-specific interaction between dysbiotic pathobionts and host responses promote tumor growth. This study aimed to elucidate the dysfunctional host-microbe interplay in colon tumorigenesis by using a time-series metagenomics approach. A transient surge in fecal microbial richness was linked to a unique transcriptome profile in the mouse colon during carcinoma transformation. Monitoring gut microbiome may help identifying the window-of-opportunity to induce tumor regression using bacteria-targeted precision medicine.
2021-11-24 | GSE166038 | GEO
Project description:Human Saliva and Fecal Microbiome Alcohol Hangover Study
| PRJNA529415 | ENA
Project description:Shotgun metagenomics of fecal bacterial consortium inhabiting healthy Asian children
| PRJDB4525 | ENA