Thermo Fisher Scientific
Metabolite annotation is a current bottleneck in the broad implementation of metabolomics, hindering biological interpretation of results. In LC/MS based metabolomics, thousands of features from a single sample are routinely detected. However, not all features represent metabolites of biological origin and fragmentation spectra of background ions and degenerate signals detract from metabolite identification efforts. Thermo Fisher Scientific is addressing the identity crisis with novel workflow strategies for data acquisition and analysis. The AcquireX intelligent acquisition on the Orbitrap ID-X Tribrid MS automatically minimizes the fragmentation of background ions and degenerate signals, and efficiently generates more spectral information on relevant compounds. Advanced annotation tools like mzLogic in the Compound Discoverer software take advantage of information-rich data combined with the vast chemical knowledge of the mzCloud library increasing confidence in unknown annotation. Combining these sophisticated tools leads to comprehensive metabolome coverage and removes the identification barrier leading to confidence biological interpretation.
The speaker will discuss:
Ioanna Ntai, Strategic Marketing Specialist, Thermo Fisher Scientific
Ioanna Ntai obtained her PhD from Vanderbilt University, where she focused on the use of mass spectrometry for natural product discovery and structure elucidation. She then joined Professor Neil Kelleher's lab, where she developed a proteomics based approach for the discovery of new natural products. As the Director of Applications, at the Northwestern Proteomics Center of Excellence, she developed proteomic assays for cancer biomarkers in human tumor samples. She joined Thermo Fisher Scientific in January 2017 as a Metabolomics Marketing Specialist and has been working on developing products and workflow solutions for metabolomics applications.
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