Summary of Study ST000586
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 | ST000586 |
| Study Title | Evaluation of specific concentrations for use in experimental protocol |
| Study Type | GC-MS non-targeted metabolomic profiling |
| Study Summary | This study evaluated specific plasma concentrations and compared the optimal plasma extract volume established in the first study (Effects of dilution on analyte identification and quantification) with the volume previously used in the current institutional protocol. The findings of this study lead to recommendations for experimental design in GC-MS-based metabolomic 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 |
| hanghang.wang@duke.edu | |
| Phone | +1 919 884 0025 |
| Submit Date | 2017-04-11 |
| Num Groups | 10 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Analysis Type Detail | GC-MS |
| Release Date | 2018-06-05 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
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 |
