Go Beyond With Pioneering Lipidomics Solutions

In this webinar, Erik Allman PhD. will describe his experience in developing an untargeted lipid profiling workflow and its utility from discovery to translational research.

Untargeted lipid profiling requires a two-step analytical routine to first extract and then detect and characterize the lipids within samples so that differential expression analysis can be performed across biological groups. Optimal sample processing and instrument settings become crucial for MSn acquisition due to the structural diversity and sheer number of lipids contained within a sample. Here, an optimized lipidomics workflow is shown that uses robust sample processing combined with state-of-the-art analytical methods and technology to facilitate differential expression analysis. Additionally, this approach uses internal standards and quality control routines to maximize efficiency without sacrificing data quality.

What you will learn:

  • Leverage automated, intelligence-based MS to increase lipid characterization
  • Perform confident data processing for creating study-specific knowledgebase to extend research to larger-scale studies
  • Succeed at identifying and creating a robust set of internal standards to establish quality control metrics

Who should attend:

  • Researchers, Lab technicians and Directors including:
    • Director, PIs & Managers of mass spectrometry labs
    • Director, PIs & Managers using lipidomics and/or multi-omics to investigate fundamental biology

About the presenter

Erik Allman, Ph.D. Dynamic Omics Group, AstraZeneca

Erik Allman, Ph.D.
Dynamic Omics Group, AstraZeneca

Dr. Erik Allman is a Scientist I in the Dynamic Omics group at AstraZeneca. Erik’s experience in metabolomics is wide-ranging, having utilized mass spectrometry-based methods to study various biological systems and processes, from the identification of antimalarial modes of action to the study of host-metabolite-microbiota interactions in NAFLD. As part of AstraZeneca, Erik and the Dynamic Omics group employ a variety of mass spectrometry methods (LC-MS, GC-MS, CE-MS, and IM-MS) and multi-omics (metabolomic and proteomic) analysis to facilitate their studies of molecular pathways and understand how modulation of these can be leveraged to treat disease and positively impact human health.

Author information: Erik Allman, Matthew Glover, Cristina Di Poto, Lisa Cazares, and Sonja Hess
Dynamic Omics, Antibody Discovery & Protein Engineering, R&D, AstraZeneca, Gaithersburg, US

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