Metabolomics and Lipidomics Content Collection
Overview
Metabolomics and lipidomics are powerful tools for studying the biochemistry of life. They can reveal insights into the physiology, pathophysiology, and pharmacology of various diseases and conditions, such as diabetes, obesity, cancer, and neurodegeneration. They can also reveal the metabolic pathways and networks that regulate cellular processes and underpin the composition and function of different cell types and states. Despite the promise of these technologies, metabolomics and lipidomics are also complex and challenging fields, requiring advanced solutions to accelerate your data generation, analysis and interpretation. Read on to see how Bruker’s cutting edge technologies and leading software can benefit your metabolomics and lipidomics research.
ASMS 2025
timsMetabo™
Further Material
MetaboScape®
Applications
- LCMS 220 - Metabolomics data quality tracking assures precision measurement and reveals trends across replicated experiments
- LCMS 222 - plexDIA for scalable single cell analysis – improving quantification and sensitivity by TIMS separation
- LCMS 223 - Low-variation proteome profiling across 10 labs, identifying 7200+ protein groups in 5 minutes with dia-PASEF
- MSI 40 - The neofleX Imaging Profiler: MALDI Imaging on new benchtop axial MALDI-TOF mass spectrometer
Resources
- Brochure timsTOF Pro 2 - The New Standard for high speed, high sensitivity 4D-Multiomics™
- Brochure VIP-HESI Dual Source - Next Generation in Mass Spectrometry Sensitivity
- LCMS 211 - Real-time and post-acquisition quality control (QC) in metabolic phenotyping studies
- LCMS 212 - CCS-Enhanced Annotation Confidence in LC-tims-HRMS-based bile acid profiling
- LCMS 209 - 4D Analysis of Lipid Nanoparticles Using Elute-timsTOF Pro 2 with VIP-HESI
- MRMS 75 - Magnetic Resonance Mass Spectrometry (MRMS) discriminates yeast mutants through metabolomics
- LCMS 177 - CCS-Aware SpatialOMx® enables highly confident and automatic lipid annotations with regiospecific context
- LCMS 180 - Rapid metabolic phenotyping in SARS-CoV-2 patients using the impact II Qtof MS System
- PN 65 - A novel data processing workflow for isotope tracing experiments in LC-MS and LC-TIMS-MS-based metabolic pathway analysis and fluxomics
- FN 25 - Enveda Biosciences uses TIMS and machine learning to accelerate natural product drug discovery
For Research Use Only. Not for use in clinical diagnostic procedures.