On-demand Webinar: Developing an Untargeted Lipid Profiling Workflow for Comprehensive Characterization and Qualitative Analysis

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

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