Summary of Study ST001683
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001074. The data can be accessed directly via it's Project DOI: 10.21228/M8W11P This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST001683 |
| Study Title | A gut microbe-focused metabolomics pipeline enables mechanistic interrogation of microbiome metabolism. |
| Study Summary | Gut microbes modulate host phenotypes and are associated with numerous health effects in humans, ranging from cancer immunotherapy response to metabolic disease and obesity. However, difficulty in accurate and high-throughput functional analysis of human gut microbes has hindered defining mechanistic connections between individual microbial strains and host phenotypes. One key way the gut microbiome influences host physiology is through the production of small molecules hindered by limited tools calibrated to detect products of anaerobic biochemistry in the gut. Here we construct a microbiome-focused, integrated mass-spectrometry pipeline to accelerate the identification of microbiota-dependent metabolites (MDMs) in diverse sample types. We report the metabolic profiles of 178 gut microbe strains using our library of 833 metabolites. Leveraging this metabolomics resource we establish deviations in the relationships between phylogeny and metabolism, use machine learning to discover novel metabolism in Bacteroides, and employ comparative genomics-based discovery of candidate biochemical pathways. MDMs can be detected in diverse body fluids in gnotobiotic and conventional mice and traced back to corresponding metabolomic profiles of cultured bacteria. Collectively, our microbiome-focused metabolomics pipeline and interactive metabolomics profile explorer are a powerful tool for characterizing microbe and microbe-host interactions. |
| Institute | Stanford University |
| Department | Microbiology & Immunology |
| Laboratory | Justin Sonnenburg |
| Last Name | Han |
| First Name | Shuo |
| Address | 299 Campus Drive, Stanford, CA, 94305-5124, USA |
| shuohan@stanford.edu | |
| Phone | - |
| Submit Date | 2021-02-06 |
| Publications | not published, status to be updated |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-05-17 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Subject:
| Subject ID: | SU001760 |
| Subject Type: | Mammal |
| Subject Species: | Mus musculus |
| Taxonomy ID: | 10090 |
| Genotype Strain: | Swiss Webster |
| Age Or Age Range: | 10-14 weeks |
| Gender: | Male |
