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Introduction to Applying GC-MS in Untargeted Metabolomic

This 3-day practical based course will introduce attendees to applying GC-MS in untargeted metabolomics.

You will gain hands-on experience in the preparation of samples for analysis of different metabolomes, instrument maintenance, sample analysing using GC-MS, raw data processing and statistical analysis of data. The course is designed to develop your knowledge, skills and experience in small group sessions and activities so that you gain the confidence to apply this innovative approach in your own research projects.

The course is led by Professor Warwick Dunn and Dr Cate Winder who have both been applying metabolomics in the clinical and biological sciences for over 20 years and have extensive experience in training scientists to apply metabolomics in their own research.

 

Course Date: 10-12 March 2025

Image showing course content to be included across 3 days

The training will be delivered using a blend of presentations, laboratory sessions, hands-on computer workshops and group activities. On the final day of the course there will be a Q&A with a panel of experts providing you with the opportunity to ask questions about your own research.

Course Content

  • Introduction to metabolomics and applying GC-MS in untargeted metabolomics
  • Experimental design and applying quality assurance and quality control samples in untargeted metabolomics
  • Sample preparation strategies to include extracting metabolites from biological samples and sample derivatisation
  • Hands-on data acquisition applying a Leco Pegasus BT4D GC x GC-ToF MS system
  • Data processing overview including tools and approaches
  • Hands-on deconvolution using ChromaTof
  • Assessing the quality of your data and an introduction to data analysis
  • Applying and developing in-house databases to aid the annotation and identification of metabolites

Learning Outcomes

  • Develop an understanding of metabolomics and how to maximise the potential of GC-MS in the untargeted metabolomics workflow
  • Design robust experimental strategies for your own research projects and apply effective quality assurance and quality control procedures
  • Develop an understanding of the data processing and analysis tools and strategies that can be applied in GC-MS based untargeted metabolomics
  • Explore and evaluate the approaches and tools applied in the annotation and identification of metabolites

Register here for the course

Further Information

 The course will be held in the Biosciences Building, University of Liverpool. Lunch and refreshments will be provided.