COLMARm

COLMARm performs automated analysis and annotation of 1D and 2D NMR spectra to enable identification of metabolites and lipids in metabolomics and lipidomics research.

Key Features:

• Automated spectral analysis: Performs automated deconvolution and annotation of complex 1D and 2D NMR spectra.
• Support for multi-dimensional experiments: Processes ^13C-^1H HSQC, HSQC-TOCSY, and TOCSY spectra for robust query and verification.
• High spectral resolution techniques: Employs nonuniform sampling combined with pure shift spectroscopy to increase resolution along both ^13C and ^1H dimensions and extract numerous unique cross-peaks from complex mixtures.
• Customized lipid database: Includes the COLMAR Lipids 2D NMR database containing accurate experimental ^13C-^1H HSQC chemical shift data for 501 compounds measured in CDCl3.
• Integration with modern NMR instrumentation: Leverages auto-tune/auto-match probes, automated locking, shimming systems, and sample changers to support high-throughput data acquisition workflows.

Scientific Applications:

• Metabolite identification in metabolomics: Enables identification of metabolites in complex biofluids and biological extracts from 1D and 2D NMR data.
• Lipidomics of hydrophobic metabolites: Supports identification and characterization of hydrophobic lipid metabolites using the COLMAR Lipids HSQC database.
• Structural elucidation at atomic resolution: Provides atomic-resolution structural information from 2D NMR cross-peaks to aid in elucidating metabolic pathways and molecular composition.
• Cross-validation with mass spectrometry: Facilitates integration with mass spectrometry data for cross-validation and deeper sample composition analysis.

Methodology:

Automated deconvolution and annotation of 1D and 2D NMR spectra (including ^13C-^1H HSQC, HSQC-TOCSY, TOCSY) combined with nonuniform sampling and pure shift spectroscopy for enhanced ^13C/^1H resolution and querying against the COLMAR Lipids HSQC database of 501 compounds (measured in CDCl3).