Events & Seminars > Event Details


4:00 pm
Room 304, Chemistry Building

Discovery lipidomics workflows enabled by high resolution Orbitrap mass spectrometry and LipidSearch software


Dr. David Peake
Thermo Scientific

Hosted by: Professor Ken Hsu

Application of lipidomics profiling to disease phenotype analysis is a rapidly growing aspect of translational medical and systems biology research. Identification of lipids by discovery lipidomics requires sophisticated software with an extensive lipid database. One of the main challenges with untargeted lipidomics is the automated identification of lipids from LC/MS-MS data. The high resolution, mass accuracy and dynamic range of Orbitrap mass spectrometers combined with LipidSearch software uniquely addresses the lipid data analysis bottleneck. New algorithms were introduced specifically to reduce false positives, improve peak integration and to help automate the data review. The application of the LC-MS discovery lipidomics workflow is illustrated for the analysis of lipid extracts from Fumonisin B1 treated mice and for human plasma samples from subjects taking flax seed and fish oil supplements compared to a normal diet.

Dr David Peake is the worldwide Metabolomics and Lipidomics Sr. Strategic Marketing Specialist and Product Manager of LipidSearch software at Thermo Fisher Scientific. He has 30 years of experience in mass spectrometry including Principal Research Scientist in drug discovery at Eli Lilly, Sr. Applications Specialist with VG Micromass and Staff Scientist at Procter & Gamble. David’s current interest’s are enabling high resolution accurate mass software and workflow strategies for untargeted profiling and ID of metabolites and lipids in biological samples. He has published > 30 papers in peer-reviewed journals and frequently gives technical presentations and lectures at international conferences and workshops. David obtained his BS in Chemistry from the Univ. of Minnesota-Duluth and PhD in Analytical Chemistry from the Univ. of Nebraska-Lincoln under Professor Michael L. Gross.