Ontology highlight
ABSTRACT:
PROVIDER: PRJNA580022 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The human gut is colonized by trillions of microorganisms that influence human health and disease through the metabolism of xenobiotics, including therapeutic drugs and antibiotics. The diversity and metabolic potential of the human gut microbiome have been extensively characterized, but it remains unclear which microorganisms are active and which perturbations can influence this activity. Here, we use flow cytometry, 16S rRNA gene sequencing, and metatranscriptomics to demonstrate that the human gut contains distinctive subsets of active and damaged microorganisms, primarily composed of Firmicutes, which display marked temporal variation. Short-term exposure to a panel of xenobiotics resulted in significant changes in the physiology and gene expression of this active microbiome. Xenobiotic-responsive genes were found across multiple bacterial phyla, encoding novel candidate proteins for antibiotic resistance, drug metabolism, and stress response. These results demonstrate the power of moving beyond DNA-based measurements of microbial communities to better understand their physiology and metabolism. RNA-Seq analysis of the human gut microbiome during exposure to antibiotics and therapeutic drugs.
2012-10-30 | E-GEOD-38151 | biostudies-arrayexpress
Project description:The human gut is colonized by trillions of microorganisms that influence human health and disease through the metabolism of xenobiotics, including therapeutic drugs and antibiotics. The diversity and metabolic potential of the human gut microbiome have been extensively characterized, but it remains unclear which microorganisms are active and which perturbations can influence this activity. Here, we use flow cytometry, 16S rRNA gene sequencing, and metatranscriptomics to demonstrate that the human gut contains distinctive subsets of active and damaged microorganisms, primarily composed of Firmicutes, which display marked temporal variation. Short-term exposure to a panel of xenobiotics resulted in significant changes in the physiology and gene expression of this active microbiome. Xenobiotic-responsive genes were found across multiple bacterial phyla, encoding novel candidate proteins for antibiotic resistance, drug metabolism, and stress response. These results demonstrate the power of moving beyond DNA-based measurements of microbial communities to better understand their physiology and metabolism.
2012-10-30 | GSE38151 | GEO
Project description:Aspergillus display an amazing level of diversity in physiologies, and environments that they occupy. Strategies for coping with diverse environmental stresses have evolved in different Aspergillus species. Therefore, Aspergillus are considered to be good models for investigating the adaptation and response to many natural and anthropogenic environmental stressors. Recent genome sequencing projects in several Aspergillus have provided insights into the molecular and genetic mechanisms underlying their responses to some environmental stressors. However, to better clarify the conserved and differentiated features of the adaptive response to specific stresses and to trace the evolutionary process of environmental adaptation and response in Aspergillus, insight from more Aspergillus species with different evolutionary positions, such as A. glaucus, and thus offer a large number of models of adaptation and response to various environmental stresses. Here, we report a high-quality reference genome assembly of A. glaucus CCHA from the surface of wild vegetation around saltern of Jilin, China, based on sequence data from whole-genome shotgun (WGS) sequencing platforms of Illumina solexa technologies. This assembly contains 106 scaffolds ( >1 Kb; N50 = ~0.795 Mb), has a length of ~28.9 Mb and covers ~97% of the predicted genome size (~120 Mb). Together with the data analyses from comprehensive transcriptomic surveys and comparative genomic analyses, we aim to obtain new insights into molecular mechanisms of the adaptation to living at high salt in the saltern
2017-09-26 | GSE104102 | GEO
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
| 2533916 | ecrin-mdr-crc
Project description:The gut microbiota in our intestinal tract metabolizes non-digestible compounds into essential nutrients and signaling molecules (i.e. short-chain fatty acids), affecting our immune system and the development of various human diseases. Ingested environmental contaminants (xenobiotics) can disrupt the bacterial community and enzymatic activity, ultimately influencing the host. Pervasive xenobiotics include bisphenols and poly- and perfluoroalkyl substances (PFAS). Both classes of chemicals have been reported to affect the immune system and cause adverse effects on human metabolism. Since humans are exposed to a complex mixture of environmental contaminants it is critical to evaluate the effects of xenobiotics in mixtures. In our study, an in vitro bioreactor model system based on the simplified human microbiome model (SIHUMIx) was used to investigate the direct effects of either perfluorooctanoic acid (PFOA), perfluorohexanoic acid (PFHxA) and perfluorobutanoic acid (PFBA) or bisphenol S (BPS) and bisphenol F (BPF) or a combined mixture on the microbiota. We observed an increased production of the short-chain fatty acids (SCFAs) acetate and butyrate following PFAS exposure. A metaproteomics approach revealed changes in molecular pathways in all treatments, including alterations in vitamin and cofactor synthesis and an additional effect on fatty acid synthesis in BPX-treated reactors. This study highlights the need to assess the combined effects of xenobiotics and to better protect public health by considering adverse effects on the microbiome in the risk assessment of environmental chemicals.
2024-06-13 | PXD048273 | Pride
Project description:Waste decomposition in landfills is a complex and microbe-mediated process. Understanding the microbial community composition and structure is critical for accelerating decomposition and reducing adverse impact on the environment. Here, we examined the microbial communities along with landfill depth and age (LDA) in a sanitary landfill in Beijing, China using 16s rRNA Illumina sequencing and GeoChip 4.6. We found that Clostridiales and Methanofollis were the predominant bacteria and archaea in the present landfill, respectively. Interestingly, in contrast with the decreasing trend of microbial diversity in soil, both phylogenetic and functional diversities were higher in deeper and older refuse in the landfill. Phylogenetic compositions were obviously different in the refuse with the same LDA and such difference is mainly attributed to the heterogeneity of refuse instead of random process. Nevertheless, functional structures were similar within the same LDA, indicating that microbial community assembly in the landfill may be better reflected by functional genes rather than phylogenetic identity. Mantel test and canonical correspondence analysis suggested that environmental variables had significant impacts on both phylogenetic composition and functional structure. Higher stress genes, genes for degrading toxic substances and endemic genes in deeper and older refuse indicated that they were needed for the microorganisms to survive in the more severe environments. This study suggests that landfills are a repository of stress-resistant and contaminant-degrading microorganisms, which can be used for accelerating landfill stabilization and enhancing in situ degradation. Fifteen refuse samples with five landfill depths and ages (6m/2a, 12m/4a, 18m/6a, 24m/8a and 30m/10a) were collected from a sanitary landfill in Beijing, China. Three replicates in every landfill depth and age
2016-06-15 | E-GEOD-68712 | biostudies-arrayexpress
Project description:Ustilago maydis is an important plant pathogen causing corn-smut disease and an effective biotechnological production host. The lack of a comprehensive metabolic overview hinders a full understanding of the organism’s environmental adaptation and a full use of its metabolic potential. Here, we report the first genome scale metabolic model (GSMM) of Ustilago maydis (iUma22) for the simulation of metabolic activities. iUma22 was reconstructed from sequencing and annotation using PathwayTools, the biomass equation was derived from literature values and from the codon composition. The final model contains over 25% of annotated genes (6,909) in the sequenced genome. Substrate utilization was corrected by Biolog-Phenotype arrays and exponential batch cultivations were used to test growth predictions. The growth data revealed a metabolic phenotype shift at high glucose uptake rates and the model allowed its quantification. A pan-genome of four different U. maydis strains revealed missing metabolic pathways in iUma22. The new model allows studies of metabolic adaptations to different environmental niches as well as for biotechnological applications.
2024-05-22 | MODEL2203250001 | BioModels