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MetabolomicsComputational mass spectrometry accelerates C=C position-resolved untargeted lipidomics using oxygen attachment dissociation
Mass spectrometry-based untargeted lipidomics has revealed the lipidome atlas of living organisms at the molecular species level. Despite the double bond (C=C) position being a crucial factor for enzyme preference, cellular membrane milieu, and biological activity, the C=C defined structures have no...
2022-11-09 | MTBLS5861 | MetaboLights
MetabolomicsCreating a Reliable Mass Spectral–Retention Time Library for All Ion Fragmentation-Based Metabolomics

Accurate metabolite identification remains one of the primary challenges in a metabolomics study. A reliable chemical spectral library increases the confidence in annotation, and the availability of raw and annotated data in public databases facilitates the transfer of Liquid chromatography coupl...

2019-10-30 | MTBLS1040 | MetaboLights
MetabolomicsCorrelation-based Deconvolution (CorrDec) to generate high quality MS2 spectra from data independent acquisition in multi-sample studies (Chemical standards assay)

Data-independent acquisition mass spectrometry (DIA-MS) is essential for information-rich spectral annotations in untargeted metabolomics. However, the acquired MS2 spectra are highly complex, posing significant annotation challenges. We have developed a correlation-based deconvolution (CorrDec) ...

2020-07-13 | MTBLS787 | MetaboLights
MetabolomicsCorrelation-based Deconvolution (CorrDec) to generate high-quality MS2 spectra from data-independent acquisition in multi-sample studies (Urine assay)

Data-independent acquisition mass spectrometry (DIA-MS) is essential for information-rich spectral annotations in untargeted metabolomics. However, the acquired MS2 spectra are highly complex, posing significant annotation challenges. We have developed a correlation-based deconvolution (CorrDec) ...

2020-07-13 | MTBLS816 | MetaboLights
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