Summary of Study ST002973
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 PR001850. The data can be accessed directly via it's Project DOI: 10.21228/M8KM71 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 | ST002973 |
| Study Title | Examine the through-filter recovery of metabolites extracted from a complex bacterial medium |
| Study Summary | Based on this metabolomic protocol, the specific dataset submitted here addresses whether passing metabolite extracts through a 0.2 micron filter plate impacts the overall detection of metabolites. We recommend the use of filter plate to remove particulate, in turn, prolonging column and instrument life. Here we have tested the through-filter recovery of metabolites extracted from a rich, complex bacterial culture media (mega media) used to culture diverse gut bacterial species in our study. We select mega media as our biological matrix for this experiment, because it enables us to assess a diverse set of metabolites. Leveraging this dataset, we have observed that the ion-abundance a large number of molecular features detected in pre- vs. post-filtered samples closely correlate with each other. We have performed this experiment with two independent batches of mega media and observed consistent results. Collectively, our observations indicate a good retention of ion abundance of molecular features after passing them through the 0.2 micron membrane filter. |
| Institute | Duke University |
| Department | Biochemistry |
| Laboratory | Han |
| Last Name | Han |
| First Name | Shuo |
| Address | 307 Research Drive, Nanaline Duke Building, Room 159 |
| shuo.han@duke.edu | |
| Phone | 909-732-2788 |
| Submit Date | 2023-11-11 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML |
| Analysis Type Detail | LC-MS |
| Release Date | 2024-05-01 |
| Release Version | 1 |
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Project:
| Project ID: | PR001850 |
| Project DOI: | doi: 10.21228/M8KM71 |
| Project Title: | A protocol for metabolomics-based gut microbiome investigations |
| Project Summary: | A significant hurdle that has limited progress in microbiome science has been identifying and studying the diversity of metabolites produced by the gut microbes. Gut microbial metabolism produces thousands of difficult-to-identify metabolites, which present a challenge to study their roles in host biology. Over the recent years, mass spectrometry-based metabolomics has become one of the core technologies for identifying small metabolites. However, metabolomics expertise, ranging from sample preparation, instrument use, to data analysis, is often lacking in academic labs. Most targeted metabolomics methods provide high levels of sensitivity and quantification, while they are limited to a panel of predefined molecules that may not be informative to microbiome-focused studies. Here we have developed a gut microbe-focused and wide-spectrum metabolomic protocol using Liquid Chromatography-Mass Spectrometry (LC-MS) and bioinformatic analysis. This protocol enables users to carry out experiments from sample collection to data analysis, only requiring access to a LC-MS instrument, which is often available at local core facilities. By applying this protocol to samples containing human gut microbial metabolites, spanning from culture supernatant to human biospecimens, our approach enables high confidence identification of >800 metabolites that can serve as candidate mediators of microbe-host interactions. We expect this protocol will lower the barrier in tracking gut bacterial metabolism in vitro and in mammalian hosts, propelling hypothesis-driven mechanistic studies and accelerating our understanding of the gut microbiome at the chemical level. |
| Institute: | Duke University School of Medicine |
| Department: | Biochemistry |
| Laboratory: | Han |
| Last Name: | Han |
| First Name: | Shuo |
| Address: | 307 Research Drive, Nanaline Duke Building, Room 159, Durham, NC, 27710, USA |
| Email: | shuo.han@duke.edu |
| Phone: | 909-732-2788 |
