IDSL CSA
IDSL CSA generates composite mass spectra libraries from MS1-only high-resolution mass spectrometry data coupled to liquid or gas chromatography to enable chemical annotation in untargeted metabolomics and exposomics.
Key Features:
- Composite spectra generation: Creates composite mass spectra libraries exclusively from MS1-only data to represent chromatographic peaks without requiring MS2 fragmentation spectra.
- MS1-based library search: Enables searches for liquid chromatography peaks using MS1-derived composite spectra instead of MS2 spectra.
- High-resolution MS support: Operates on datasets generated by high-resolution mass spectrometry coupled to liquid chromatography or gas chromatography.
- Validation on human samples: Demonstrated comparable annotation rates for commonly detected endogenous metabolites in validation tests using human blood samples.
- Implementation: Provided as an R package (IDSL.CSA) for computational integration into data analysis workflows.
Scientific Applications:
- Chemical annotation in untargeted metabolomics: Supports metabolite identification when MS2 fragmentation data are unavailable or incomplete.
- Exposomics studies: Facilitates annotation of exogenous and endogenous compounds in exposomics datasets derived from LC- or GC-coupled high-resolution MS.
- Cross-study spectral library use: Enables creation and reuse of composite spectra libraries across different untargeted metabolomics datasets and instrument setups.
- Biological validation: Applicable to annotation and discovery efforts in human blood metabolomics as demonstrated in validation tests.
Methodology:
Generates composite mass spectra libraries from MS1-only high-resolution mass spectrometry data and performs MS1-based library searches for liquid chromatography peaks; implemented as an R package (IDSL.CSA).
Topics
Collections
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 8/7/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Chromatographic alignment
Publications
Baygi SF, Kumar Y, Barupal DK. IDSL.CSA: Composite Spectra Analysis for Chemical Annotation of Untargeted Metabolomics Datasets. Analytical Chemistry. 2023;95(25):9480-9487. doi:10.1021/acs.analchem.3c00376. PMID:37311059. PMCID:PMC11080491.
PMID: 37311059
Funding: - National Institute of Environmental Health Sciences: K12ES033594, P30ES023515, R01ES032831, R01ES033688, U2CES026555, U2CES026561, U2CES030859
- National Center for Advancing Translational Sciences: UL1TR001433, UL1TR004419
Documentation
User manual
https://github.com/idslme/IDSL.CSA/wikiLinks
Repository
https://github.com/idslme/IDSL.CSA