Summary of Study ST001104
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 PR000716. The data can be accessed directly via it's Project DOI: 10.21228/M8496H 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 | ST001104 |
Study Title | Seryl-leucine core 1 O-glycosylated peptide (SLC1G) identification |
Study Summary | An untargeted metabolomics approach was utilized to determine urinary metabolites that could serve as small molecule biomarkers for treatment response to standard tuberculosis treatment. However, the majority of metabolites that most accurately distinguished patient samples at time of diagnosis from those at one month after the start of therapy lacked structural identification. The detection of unknown metabolite structures is a well-known limitation of untargeted metabolomics, and underscores a need for continued elucidation of novel metabolite structures. In this study, we sought to define the structure of a urine metabolite with an experimentally determined mass of 202.1326 Da, classified as molecular feature (MF) 874.3547. Using mass spectrometry combined with enzymatic digestions, the metabolite was structurally characterized as a seryl-leucine core 1 O-glycosylated peptide (SLC1G) of human origin. |
Institute | Colorado State University |
Last Name | Fitzgerald |
First Name | Bryna |
Address | 3185 Rampart Rd |
blfitz@colostate.edu | |
Phone | 9704918905 |
Submit Date | 2018-09-26 |
Raw Data Available | Yes |
Raw Data File Type(s) | d |
Analysis Type Detail | LC-MS |
Release Date | 2019-01-22 |
Release Version | 1 |
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Sample Preparation:
Sampleprep ID: | SP001156 |
Sampleprep Summary: | Urine was thawed on ice and centrifuged to remove particulates prior to analysis. |