MESBL GC-MS metabolite peak database

MESBL GC-MS metabolite peak database provides a curated library of over 900 standardized GC-MS metabolite peaks with integrated reference annotations from in-house standard compounds, the GOLM database, and the Human Metabolome Database (HMDB) to support metabolite identification in GC-MS metabolomics.

Key Features:

• Standardized Data Normalization: Implements normalization methods tailored for GC-MS metabolomic analysis to ensure consistent data interpretation.
• Integrated Peak Library: Contains a comprehensive library of over 900 standardized metabolite peaks aggregated from in-house standards, GOLM, and HMDB.
• Unknown Peak Identification: Provides methods for identification of unidentified compound peaks in GC-MS datasets.
• Metabolic Network Analysis: Supports incorporation of metabolic network analysis into data interpretation to relate peaks to biological pathways.
• Secure Data Repository: Includes a repository for storage of metabolomics data and associated biological sample information.

Scientific Applications:

• Disease Research: Enables metabolite identification and comparison for studies investigating metabolic alterations in disease states.
• Systems Biology: Facilitates integration of GC-MS metabolite profiles with pathway and network analyses to study system-level responses.
• Metabolic Engineering: Supports identification of pathway intermediates and metabolic changes in engineered organisms.
• Large-scale GC-MS Studies: Serves as a reference resource for high-throughput GC-MS experiments requiring standardized peak annotation.

Methodology:

Integration of in-house standard compounds with the GOLM database and HMDB into a peak library, application of standardized GC-MS normalization methods, methods for unknown peak identification, and inclusion of metabolic network analysis.