Introduction to Applying LC-MS in Untargeted Metabolomics
This 3-day practical based course will introduce attendees to applying LC-MS in untargeted metabolomics.
You will gain hands-on experience in the preparation of samples for analysis of the metabolome, sample analysing using LC-MS, processing and analysing 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: 12-14 May 2025
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 LC-MS across the untargeted metabolomics workflow
- Experimental design and the importance of applying quality assurance and quality control samples in untargeted metabolomics
- Sample preparation strategies
- Hands-on data acquisition (MS, MS/MS) applying the Thermo Fisher Scientific Vanquish UPLC coupled to an Exploris 240 Orbitrap mass spectrometer
- Data processing overview including tools and approaches
- Assessing the quality of your data and an introduction to data analysis
- Understanding ESI data and the tools and approaches to apply in metabolite annotation and identification
Learning Outcomes
- Develop an understanding of metabolomics and how to maximise the potential of UPLC-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 untargeted metabolomics
- Explore and evaluate the approaches and tools applied in the annotation and identification of metabolites
Register here for the course
- Course fee £980
- 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.