Robust metabolic profiling for routine quantitation and confident unknown identification
24 Mar 2021
Metabolomics, the investigation of small molecules present in a biological system, finds application in diverse biomedical and industrial research. In large-scale applications, targeted profiling of metabolites is employed as it provides confident measurements for compounds of interest. This requires analytical rigor so that concentrations of select metabolites can be measured reproducibly. However, sometimes the observed phenotype cannot be explained by only monitoring a subset of metabolites. Instead, comprehensive metabolome coverage is needed in order to provide insights into underlying biochemical mechanisms.
Structural diversity of the metabolome necessitates data collection with multiple ionization modes for a complete picture. High-resolution, accurate-mass Thermo Scientific™ Orbitrap™ technology with polarity switching enables unbiased compound detection for the accurate analysis of target metabolites and the retro-mining of data to discover unknown biomarkers. In this webinar, we present a targeted profiling workflow for the nutrient evaluation of bovine serum samples as supplements in cell culture.
Key learning objectives
- Discover a targeted profiling workflow for accurate quantitation of knowns and the ability to retro-mine the data to discover unknown biomarkers
- Learn how to build in QA/QC in your metabolomics experiments for high-quality data and high-quality results
- See how the new Thermo Scientific™ Orbitrap Exploris™ 120 mass spectrometer enables robust quantitative measurements of small molecules
Who should attend?
Thermo Fisher Scientific
- Scientists new to the field of metabolomics interested in biomarker discovery, global profiling, general phenotyping and requiring minimal time from sample to interpretable results
- Metabolomics researchers embarking on large-scale studies in need of suitable LC-MS instrumentation
- MS practitioners employing targeted and semi-targeted approaches for small molecule analysis