Summary of project PR000665
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 PR000665. The data can be accessed directly via it's Project DOI: 10.21228/M8QD6T This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR000665 |
| Project DOI: | doi: 10.21228/M8QD6T |
| Project Title: | High Resolution GC-MS Metabolomics of Non-Human Primate Serum |
| Project Type: | Method Development in Metabolomics |
| Project Summary: | Rationale: Metabolomics analyses using gas chromatography mass spectrometry (GC-MS) - based metabolomics are heavily impeded by the lack of high-resolution mass spectrometers and limited spectral libraries to complement the excellent chromatography that GC platforms offer, a challenge that is being addressed with the implementation of high resolution (HR) platforms such as GC-Orbitrap-MS. Methods: We used serum samples from a non-human primate (NHP), a baboon (Papio hamadryas), with suitable quality controls to quantify the chemical space using an advanced HR MS platform for confident metabolite identification and robust quantification to assess the suitability of the platform for routine clinical metabolomics research. In a comparative approach, we also analyzed the same serum samples using a two-dimensional gas chromatography time-of-flight mass-spectrometer (2D GC-ToF-MS) for metabolite identification and quantification following established standard protocols. Results: Overall, the 2D GC-ToF-MS and GC-Orbitrap-MS analyses enabled identification and quantification of 555 total metabolites from the NHP serum with a spectral similarity score Rsim ≥ 900 and S/R ratio of > 25. A common set of 30 metabolites with HMDB and KEGG IDs were quantified in the serum samples by both platforms where the 2D GC-ToF-MS enabled quantification of a total 384 metabolites (118 HMDB IDs) and the GC-Orbitrap-MS analysis quantification of a total 200 metabolites (47 HMDB IDs). Conclusions: Our study provides insights into the benefits and limitations of the use of a higher mass accuracy instrument for untargeted GC-MS-based metabolomics with multi-dimensional chromatography in future studies addressing clinical conditions or exposome studies. |
| Institute: | Wake Forest School of Medicine |
| Department: | Center for Precision Medicine |
| Laboratory: | Michael Olivier Laboratory |
| Last Name: | Misra |
| First Name: | Biswapriya |
| Address: | NRC Building, Room G#43, Medical Center Boulevard, Winston Salem, NC, USA |
| Email: | bmisra@wakehealth.edu |
| Phone: | 3522156040 |
| Funding Source: | NA |
| Project Comments: | NA |
| Publications: | High Resolution GC/MS Metabolomics of Non‐Human Primate Serum: Biswapriya B. Misra, Ekong Bassey, Andrew C. Bishop, David T. Kusel, Laura A. Cox,Michael Olivier; Rapid Communications in Mass Spectrometry, DOI: https://doi.org/10.1002/rcm.8197 |
| Contributors: | Biswapriya B. Misra, Ekong Bassey, Andrew C. Bishop, David T. Kusel, Laura A. Cox, Michael Olivier |
Summary of all studies in project PR000665
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST000972 | High Resolution GC-MS Metabolomics of Non-Human Primate Serum | Papio hamadryas | Wake Forest School of Medicine | MS* | 2018-05-30 | 1 | 18 | Uploaded data (6.8G)* |
