Summary of Study ST002391
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 PR001538. The data can be accessed directly via it's Project DOI: 10.21228/M8WH85 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 | ST002391 |
| Study Title | Evaluation of Two Simultaneous Metabolomic and Proteomic Extraction Protocols Assessed by Ultra-High-Performance Liquid Chromatography Tandem Mass Spectrometry |
| Study Summary | Untargeted multi-omics analysis of plasma is an emerging tool for the identification of novel biomarkers for evaluating disease prognosis and for a better understanding of molecular mechanisms underlying human disease. The successful application of metabolomic and proteomic approaches relies on reproducibly quantifying a wide range of metabolites and proteins. Herein, we report the results of untargeted metabolomic and proteomic analyses from blood plasma samples following analyte extraction by two frequently used solvent systems: chloro-form/methanol and methanol-only. Whole blood samples were collected from participants (n=6) at University Hospital Sharjah (UHS) hospital, then plasma was separated and extracted by two methods i. methanol precipitation and, ii. 4:3 methanol:chloroform extraction. The coverage and reproducibility of the two methods were assessed by ultra-high-performance liquid chromatography-electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS). The study revealed that metabolite extraction by methanol-only showed greater reproducibility for both metabolomic and proteomic quantifications than did methanol/chloroform, while yielding similar peptide coverage. However, coverage of extracted metabolites was higher with the methanol/chloroform precipitation. |
| Institute | Sharjah Institute for Medical Research |
| Last Name | Facility |
| First Name | Core |
| Address | M32, SIMR, College of Pharmacy, Health Sciences, University of Sharjah |
| tims-tof@sharjah.ac.ae | |
| Phone | 065057656 |
| Submit Date | 2022-12-06 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-01-06 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003896 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Bruker Elute |
| Column | Hamilton Intensity Solo 2 C18(100 x 2.1 mm,1.8um) |
| MS Type | ESI |
| MS instrument type | QTOF |
| MS instrument name | Bruker timsTOF |
| Ion Mode | POSITIVE |
| Units | AU |
MS:
| MS ID: | MS003636 |
| Analysis ID: | AN003896 |
| Instrument Name: | Bruker timsTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Metabolomics Data Processing. For metabolomic analysis, MetaboScape® 4.0 program (Bruker Daltonics, Billerica, MA, USA) was employed for data processing, feature extrac-tion and metabolite identification. The T-ReX 2D/3D workflow was used to identify the molecular features with the following settings: The minimum peak length was set to 7 spectra and the minimum intensity threshold was 1000 counts for peaks detection. The peak area was employed for quantification and the injected external calibrant in the in-terval of 0–0.3 min was used to recalibrate the mass spectra. The selected mass to charge ratio (m/z) and retention time for scanning were in the ranges of 20–1300 m/z and 0.3–30 min, respectively. MS/MS spectra for features were averaged on import and features found at least in 12 of the 40 injections were taken into further consideration. Metabolites were identified by matching to the human metabolome database (HMDB) by combined MS/MS, precursor m/z values, and isotopic pattern scores. Where multiple features matched a given database entry, the annotation quality score (AQ score) was used to select only the best matching feature. |
| Ion Mode: | POSITIVE |
