Ontology highlight
ABSTRACT:
PROVIDER: PRJNA728525 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Host factors in the intestine, such as mucus secretion, play an important role in selecting for the colonization of bacteria that contribute to intestinal health. Here we characterized the capability of commensal species to cleave and transport mucin-associated monosaccharides and found that several members of the Clostridiales order can utilize intestinal mucins as an energy source. One such mucin utilizer, Peptostreptococcus russellii, reduces susceptibility to epithelial injury in mice. Several Peptostreptococcus species contain a gene cluster that enables the production of the tryptophan metabolite indoleacrylic acid (IA), which we show has a beneficial effect on intestinal epithelial barrier function and mitigates inflammatory responses. Furthermore, metagenomic analysis of human stool samples revealed that the genetic capability of microbes to utilize mucins and metabolize tryptophan was diminished in patients with inflammatory bowel disease. Our data suggest that stimulating the production of IA to promote anti-inflammatory responses could have therapeutic benefit.
2017-07-11 | GSE98884 | GEO
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress
Project description:Primary outcome(s): Metagenomic analysis and Metabolome analysis of Intestinal flora before, 2weeks, 1months, 3months, 6months, 12months
| 2636430 | ecrin-mdr-crc
Project description:Engineering microbes with novel metabolic properties is a critical step for production of biofuels and biochemicals. Synthetic biology enables identification and engineering of metabolic pathways into microbes; however, knowledge of how to reroute cellular regulatory signals and metabolic flux remains lacking. Here we used network analysis of multi-omic data to dissect the mechanism of anaerobic xylose fermentation, a trait important for biochemical production from plant lignocellulose. We compared transcriptomic, proteomic, and phosphoproteomic differences across a series of strains evolved to ferment xylose under various conditions.
2019-03-12 | GSE92907 | GEO
Project description:Engineering microbes with novel metabolic properties is a critical step for production of biofuels and biochemicals. Synthetic biology enables identification and engineering of metabolic pathways into microbes; however, knowledge of how to reroute cellular regulatory signals and metabolic flux remains lacking. Here we used network analysis of multi-omic data to dissect the mechanism of anaerobic xylose fermentation, a trait important for biochemical production from plant lignocellulose. We compared transcriptomic, proteomic, and phosphoproteomic differences across a series of strains evolved to ferment xylose under various conditions.
2019-03-12 | GSE92906 | GEO
Project description:Our overarching goal is to understand how microbes along a glacier forefield chronosequence and productivity gradient interact with their environment, how this influences carbon and nitrogen cycling, and how the microbes respond to temperature increases. Specifically, using the novel approach of quantitative SIP paired with metagenomic sequencing, we will calculate growth rates for targeted functional genes and metagenome assembled genomes, quantifying their ecophysiology, in situ. And when paired with gene expression using metatranscriptomic libraries and metabolite production, we will gain a clearer understanding of how microbes grow, how they cycle carbon and nitrogen and how their metabolic activity changes in response to warming.
The work (proposal:https://doi.org/10.46936/10.25585/60008115) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.
2024-11-06 | MSV000096317 | MassIVE
Project description:Shotgun metagenomic analysis of Lake Paajarvi sediment microbes.
| PRJEB29513 | ENA
Project description:Metagenomic analysis of ruminal microbes by shotgun pyrosequencing
| PRJEB626 | ENA