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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Treatment:
| Treatment ID: | TR003095 |
| Treatment Summary: | Metabolites extracted from mega medium, a rich and undefined bacterial medium, are filtered using a 96-well 0.2 micron filter plate. Here we compare the detection of metabolites in pre-filtered vs. post-filtered conditions from the same replicate, and five replicates are used for each of the two independent batches of media tested. |
