Summary of Study ST000589
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 PR000429. The data can be accessed directly via it's Project DOI: 10.21228/M8M30H This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST000589 |
| Study Title | Effects of dilution on analyte identification and quantification |
| Study Type | GC-MS non-targeted metabolomic profiling |
| Study Summary | The limiting-dilution study evaluated the effects of sample dilution on the ability to identify and quantify analytes in plasma. The study was divided into 10 batches with identical experimental design spanning over a 16-day period. Each batch consisted of 33 aliquots with 11 different plasma extract volumes (0 – 700 µL) corresponding to 11 plasma concentrations repeated three times. |
| Institute | Duke University |
| Department | Duke Molecular Physiology Institute |
| Last Name | Wang |
| First Name | Hanghang |
| Address | 300 North Duke Street, Durham, NC, 27701, USA |
| hanghang.wang@duke.edu | |
| Phone | +1 919 884 0025 |
| Submit Date | 2017-04-04 |
| Num Groups | 10 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Analysis Type Detail | GC-MS |
| Release Date | 2017-07-10 |
| Release Version | 1 |
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Project:
| Project ID: | PR000429 |
| Project DOI: | doi: 10.21228/M8M30H |
| Project Title: | Methods for improved identification and quantification in GC-MS-based metabolomic profiling of human plasma |
| Project Type: | GC-MS non targeted qualitative analysis |
| Project Summary: | The field of metabolomics as applied to human disease and health is rapidly expanding. However, studies reporting experiences with quality-control and method validation are lacking. In this study, we sought to identify and modify steps in GC-MS-based metabolomic profiling of human plasma that could influence metabolite identification and quantification. Our experimental design included two studies: 1) the limiting-dilution study, which investigated the effects of dilution on analyte identification and quantification, and 2) the concentration-specific study, which compared the optimal plasma extract volume established in the first study with the volume used in the current institutional protocol. We confirmed that contaminants, concentration, intra- and inter-experiment variability are major factors influencing metabolite identification and quantification. In addition, we established methods for improved metabolite identification and quantification, which were summarized to provide recommendations for experimental design of GC-MS-based profiling of human plasma. |
| Institute: | Duke University |
| Department: | Duke Molecular Physiology Institute |
| Last Name: | Wang |
| First Name: | Hanghang |
| Address: | 300 North Duke Street, Durham, NC, 27701, USA |
| Email: | hanghang.wang@duke.edu |
| Phone: | +1 919 884 0025 |
| Funding Source: | U.S. Department of Health & Human Services, National Institutes of Health (NIH) - T32HL007101; Thoracic Surgery Foundation for Research and Education (TSFRE) - Braunwald Fellowship |
