Previous page

HOW TO? Technologies used on clinical samples webinar series 2024 - session two: How metabolomics can help us understand lung diseases - 15 FEBRUARY, 2024

HOW TO? Technologies used on clinical samples webinar series 2024 - session two: How metabolomics can help us understand lung diseases - 15 FEBRUARY, 2024

Additional content

Slides

15 February, 2024 | Online

18:00-19:00 CET

Metabolomics has emerged as a powerful tool in understanding complex biological systems. These techniques shed light on the molecular mechanisms underlying disease pathogenesis and progression, especially but not exclusively when cellular metabolism is dysregulated. Moreover, metabolic signatures or components thereof can be used as disease biomarkers. It can be applied on a variety of samples, including bronchoalveolar lavage, plasma and urine.

Educational aims

  • To understand the principles underlying metabolomic analyses (what is analysed and how, what type of information is yielded)
  • To understand what sample types can be used for metabolomic analyses, how samples should be collected and stored, and which controls should be included
  • To receive insight into how analyses are performed, how to make sense of the data obtained, how to connect readouts to biological processes
  • Examples will be provided based on key publications using metabolomics to illustrate what type of questions can be addressed using this technology and how to critically review the technique in a paper
  • Aspects of data sharing will be addressed

Topics

  • Metabolomics basic principles
  • How to connect metabolomics data to cellular processes
  • How metabolomics can help understand pathogenic processes in lung diseases
  • How metabolomics signatures can be used as disease biomarkers

Target audience:

  • Clinicians
  • Trainees
  • Basic Translational scientists
  • Bioinformatician

Format

This webinar will include a workshop with interactive quizzes, Q&A with audience, presentation of seminal papers and introduction to analysis workflows.

Learning outcomes

After following this webinar, participants should be able to:

  • Understand the relevance of metabolomics in disease characterization.
  • Learn which steps are required to undertake and assess metabolomics.