- Untargeted Metabolomics
- Lipidomics
- Targeted Metabolomics
- Functional Metabolomics
-
Proteomics
- Nanoparticle proteomics
- iTRAQ/TMT-based Proteomics Analysis
- Label free Quantitative Proteomics
- Protein Identification
- DIA proteomics
- Peptidomics
- Parallel Reaction Monitoring (PRM) Targeted Proteome
- Metpro -Ⅱ Protein-Metabolite Interactions
- Phosphoproteomics
- Acetylation Analysis
- Protein Ubiquitination Analysis
4D Lipidomics
Lipidomics is a discipline that involves comprehensive and systematic analysis and identification of lipids in biological organisms, tissues, or cells, along with molecules interacting with them. It aims to understand the structure and function of lipids and subsequently reveal the relationships between lipid metabolism and the physiological, pathological processes of cells, organs, and even entire organisms. Currently, lipidomics is widely applied in important fields such as drug development, molecular physiology, molecular pathology, functional genomics, nutrition, and environmental health.
To achieve accurate annotation of LC-MS/MS data in lipidomics, it is generally necessary to integrate information from multiple dimensions, such as secondary spectra, retention time, collision cross-section (CCS) values, mass-to-charge ratio (m/z), etc. In 2020, a study titled "A lipidome atlas in MS-DIAL 4" published in Nature Biotechnology introduced the development of the non-targeted lipidomics platform MS-DIAL 4. The research team established a lipidome atlas, including 117 lipid subclasses, with retention time, collision cross-section area, and other spectral information. This contributes to standardizing lipidomics data and discovering lipid pathways.
Product Advantages:
- High coverage
- Database covering 271,237 lipid structures
- Accurate identification
- Four-dimensional database (m/z, RT, CCS, MS/MS) for matching and qualitative analysis, leading to more accurate lipid results
- Collision cross-section area (CCS value) exhibits good reproducibility and is not affected by chromatographic methods, preventing biases
- Isomer identification
- Collision cross-section area (CCS value) enables the identification and differentiation of some isomers
Application Areas:
- Identification of lipid substances in tissues and cells
- Research on the functions and metabolic regulation of lipids
- Study of lipid metabolic pathways and networks
- Discovery of lipid biomarkers
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