Metabolomics

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Improving Metabolite Identification with DecoID for Database-Assisted Deconvolution of Metabolomic MS/MS Spectra


ABSTRACT:

Chimeric MS/MS spectra contain fragments from multiple precursor ions and therefore hinder compound identification in metabolomics. Historically, deconvolution of these chimeric spectra has been challenging and relied upon specific experimental methods that introduce variation in the ratios of precursor ions between multiple MS/MS scans. DecoID introduces a complementary, method-independent approach where database spectra are computationally mixed to match an experimentally acquired spectrum using LASSO regression. When applied to human plasma, DecoID increased the number of identified metabolites by over 30%.

INSTRUMENT(S): Liquid Chromatography MS - positive - hilic, Liquid Chromatography MS - negative - hilic

SUBMITTER: Ethan Stancliffe 

PROVIDER: MTBLS2207 | MetaboLights | 2021-04-29

REPOSITORIES: MetaboLights

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Publications

DecoID improves identification rates in metabolomics through database-assisted MS/MS deconvolution.

Stancliffe Ethan E   Schwaiger-Haber Michaela M   Sindelar Miriam M   Patti Gary J GJ  

Nature methods 20210708 7


Chimeric MS/MS spectra contain fragments from multiple precursor ions and therefore hinder compound identification in metabolomics. Historically, deconvolution of these chimeric spectra has been challenging and relied on specific experimental methods that introduce variation in the ratios of precursor ions between multiple tandem mass spectrometry (MS/MS) scans. DecoID provides a complementary, method-independent approach where database spectra are computationally mixed to match an experimentall  ...[more]

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