Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

20231123_ChemProp2_Non-targeted Metabolomics of Xenobiotic Biotransformations using synthetic gut bacterial community

ABSTRACT: ChemProp2 Dataset: Investigating potential biotransformations with a panel of 45 Drugs on Synthetic Community (Com20) to elucidate Drug-Microbiome-Host Dynamics

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Sythetic Community

SUBMITTER: Daniel Petras

PROVIDER: MSV000093571 | MassIVE | Tue Dec 05 04:40:00 GMT 2023

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Similar Datasets

GNPS - 20231123_ChemProp2_Non-targeted Metabolomics of Xenobiotic Biotransformations using synthetic gut bacterial community

Project description:ChemProp2 Dataset: Investigating potential biotransformations with a panel of 45 Drugs on Synthetic Community (Com20) to elucidate Drug-Microbiome-Host Dynamics

2023-12-05 | MSV000093571 | GNPS

Xenobiotics shape the physiology and gene expression of the active human gut microbiome

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

Drug metabolism - Bacterial synthetic community

Project description:Bacterial culture with drugs acquired on Q Exactive with chromatographic separation on a Phenomenex polar C18 column (Kinetex 2.6 um, 150 x 2.1 mm). Reversed-phase, ESI positive.

2024-07-14 | MSV000095331 | MassIVE

Allele specific expression and bacterial community composition in the Drosophila gut

Project description:The pervasiveness of gene expression variation and its contribution to phenotypic variation and evolution is well known. This gene expression variation is context dependent, with differences in regulatory architecture often associated with intrinsic and environmental factors, and is modulated by regulatory elements that can act in cis (linked) or in trans (unlinked) relative to the genes they affect. So far, little is known about how this genetic variation affects the evolution of regulatory architecture among closely related tissues during population divergence. To address this question, we analyzed gene expression in the midgut, hindgut, and Malpighian tubule as well as microbiome composition in the two gut tissues in four Drosophila melanogaster strains and their F1 hybrids from two divergent populations: one from the derived, European range and one from the ancestral, African range. In both the transcriptome and microbiome data, we detected extensive tissue- and genetic background-specific effects, including effects of genetic background on overall tissue specificity. Tissue-specific effects were typically stronger than genetic background-specific effects, although the two gut tissues were not more similar to each other than to the Malpighian tubules. An examination of allele specific expression revealed that, while both cis and trans effects were more tissue-specific in genes expressed differentially between populations than genes with conserved expression, trans effects were more tissue-specific than cis effects. Despite there being highly variable regulatory architecture, this observation was robust across tissues and genetic backgrounds, suggesting that the expression of trans variation can be spatially fine-tuned as well as or better than cis variation during population divergence and yielding new insights into cis and trans regulatory evolution.

2024-07-31 | GSE263264 | GEO

The nutritional and host environment shapes community ecology and keystone functions in a synthetic gut bacterial community

Project description:Microbe-microbe interactions are critical for gut microbiome function. A challenging task to understand health and disease-related microbiome signatures is to move beyond descriptive community-level profiling towards disentangling microbial interaction networks. Here, we aimed to determine members taking on a keystone role in shaping the community ecology of a widely used synthetic bacterial community (OMM12).

2022-11-14 | MSV000090704 | MassIVE

185-member bacterial synthetic community

Project description:A single bacterial genus maintains root development in a complex microbiome

| PRJNA543313 | ENA

GNPS - Drug metabolism - Bacterial synthetic community

2024-07-14 | MSV000095331 | GNPS

mouse gut bacterial community

Project description:Gut microbiome composition of C57BL/6 mice differs by vendor, production site and in response to a new vivarium

| PRJNA622479 | ENA

Xenobiotics shape the physiology and gene expression of the active human gut microbiome

2012-10-30 | GSE38151 | GEO

Bacterial Intestinal Gut Modification Around Cancer Surgery (BIG MACS) Diet

Project description:The long-term study objective is to develop optimized nutritional therapies for surgery and test them in clinical practice. This pilot study will test a microbiome-optimization diet in colorectal cancer surgery patients. The study hypothesizes that the Bacterial Intestinal Gut Modification Around Cancer Surgery (BIG MACS) Diet will provide participants with increased microbiota accessible carbohydrates (MACs) to support the microbiome and improve outcomes.

| 2972 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data