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Updated: Mar 30, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Published on: May 27, 2014
Globally Optimized Targeted Mass Spectrometry: Reliable Metabolomics Analysis with Broad Coverage
Haiwei Gu1,2, Ping Zhang1,3, Jiangjiang Zhu1
1Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington , 850 Republican Street, Seattle, Washington 98109, United States.
Globally Optimized Targeted (GOT)-MS enhances mass spectrometry (MS) metabolomics by combining targeted detection and global profiling. This novel approach improves metabolite coverage and quantitation for broader applications in research.
Area of Science:
- Metabolomics
- Mass Spectrometry
- Biochemistry
Background:
- Targeted detection in mass spectrometry (MS)-based metabolomics offers limited coverage due to small metabolite sets.
- Global profiling provides broad coverage but may lack quantitation accuracy and sensitivity for specific targets.
Purpose of the Study:
- To introduce Globally Optimized Targeted (GOT)-MS, a novel approach integrating targeted and global metabolomics.
- To enhance metabolite coverage, quantitation, and the ability to detect unknown metabolites in MS-based analyses.
Main Methods:
- Developed GOT-MS using a single liquid chromatography-triple quadrupole (LC-QQQ) mass spectrometer.
- Executed a global search of precursor and product ions, acquiring 595 precursor ions and 1,890 multiple reaction monitoring (MRM) transitions.
- Analyzed serum metabolites under positive and negative ionization modes within the 60-600 Da mass range.
Main Results:
- GOT-MS demonstrated analytical performance comparable or superior to global profiling with quadrupole-time-of-flight (Q-TOF) instruments.
- In a colorectal cancer (CRC) study, GOT-MS significantly outperformed a targeted MS assay of ~160 metabolites.
- GOT-MS provided complementary data to traditional Q-TOF-MS global profiling.
Conclusions:
- GOT-MS expands and optimizes detection capabilities for triple quadrupole (QQQ)-MS instruments.
- This approach offers broad metabolite coverage, unknown detection, and excellent quantitation.
- GOT-MS holds significant potential for advancing both basic and clinical metabolic research.
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