Metabolomics

Dataset Information

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Unknown Metabolite Annotation in Mouse Aging using Ion Mobility Collision Cross-Section Atlas (AllCCS)


ABSTRACT:

The metabolome includes not just known but also unknown metabolites; however, metabolite annotation remains the bottleneck in untargeted metabolomics. Ion mobility – mass spectrometry (IM-MS) has emerged as a promising technology by providing multi-dimensional characterizations of metabolites. Here, we curated an ion mobility CCS atlas, namely AllCCS, and developed an integrated strategy for metabolite annotation using known or unknown chemical structures. The AllCCS atlas covers vast chemical structures with >5000 experimental CCS records and ~12 million calculated CCS values for >1.6 million small molecules. We demonstrated the high accuracy and wide applicability of AllCCS with medium relative errors of 0.5-2% for a broad spectrum of small molecules. AllCCS combined with in-silico MS/MS spectra facilitated multi-dimensional match and substantially improved the accuracy and coverage of both known and unknown metabolite annotation from biological samples. Together, AllCCS is a versatile resource that enables confident metabolite annotation, revealing comprehensive chemical and metabolic insights towards biological processes.


Unknown Metabolite Annotation in Mouse Aging assay is reported in the current study MTBLS1622.

Known Metabolite Annotation in Different Biological Samples assays are reported in MTBLS1693.

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

SUBMITTER: Zhiwei Zhou 

PROVIDER: MTBLS1622 | MetaboLights | 2020-07-28

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS1622 Other
FILES Other
a_MTBLS1622_LC-MS_positive_hilic_metabolite_profiling.txt Txt
i_Investigation.txt Txt
m_MTBLS1622_LC-MS_positive_hilic_metabolite_profiling-1_v2_maf.tsv Tabular
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