Best practice in operating mass spectrometers in Metabolomics 2019

This course will enhance your standing and expertise to prepare and successfully run samples in a metabolomic laboratory. It is designed to provide hands-on practical exercises using gas and liquid chromatography coupled to mass spectrometry (GC-MS & LC-MS). The course will focus on untargeted data acquisition in metabolomics with both nominal mass and accurate mass instruments. You will learn how to operate the instruments, how to collect metabolite profiles on complex samples and how to prepare and derivatize samples, troubleshoot instruments, acquire data and perform data quality control routines (QA/QC). Overall, you will receive comprehensive understanding of the current best practices in the metabolomics laboratory.

The course will include:

  1. Fundamentals of mass spectrometry, chromatography, and metabolomics.
  2. Hands-on exercises on sample preparation, including extraction and derivatization of complex samples for untargeted metabolomics profiling
  3. Hands-on exercises to learn how to operate both gas and liquid chromatography coupled to mass spectrometry (GC-MS & LC-MS).
  4. quality control routines (QA/QC) in order to ensure comparable data, reproducibility, and instrument performance.

Introduction to Metabolomics for the Environmental Scientist

Overview

This two-day NERC-funded Advanced Training Short Course provides environmental scientists with an overview of the metabolomics pipeline. The course is intended for environmental scientist with little or no previous experience of metabolomics and who are interested to discover how this relatively new and powerful approach could be integrated into their research. Experts working in the NERC Metabolomics facility NBAF-B will teach the course.

Topics

  • Introduction to environmental metabolomics with case studies
  • Experimental design and quality control
  • Sample collection and preparation
  • Overview of analytical laboratory techniques (mass spectrometry and NMR spectroscopy)
  • Short practical demonstrations and a tour of the metabolomics facilities
  • Overview of data processing and statistics for metabolomics
  • Introduction to metabolite identification
  • Q&A session with an opportunity for course leads to provide advice on your own metabolomics studies