P4 – Bioanalytical and metabolomic readouts for toxicology
During the last two decades, metabolomics has become a mature and widely recognised discipline applied in life sciences research. Because of its ability to characterise the phenotype at the molecular level, metabolomics can be considered as the most functional omics, thus playing a pivotal role in Systems Toxicology. It also enables the study of how the small molecules constituting the metabolome can regulate the activity of upstream biomolecules such as genes, transcripts, or proteins. The high sensitivity of metabolite concentrations to external insults makes them an excellent readout in many toxicology risk assessment scenarios.
When it comes to supporting regulatory toxicology, four major strengths of metabolomics have been highlighted: a) discovery of toxicological pathways and molecular key events (KEs); b) direct measurement of a system’s molecular phenotype allowing its association to Adverse Outcome Pathways (AOP); c) quantitation of a chemical and discovery of its metabolic biotransformation products in a cell/organism (toxicokinetics), and d) chemical grouping of substances based on their induced phenotypic responses.
This project takes the latest advancements made in the analytical domain to answer toxicological questions raised in the different SCAHT research areas. The project supports all other three major SCAHT research projects, with the focus set on the extended profile of signalling molecules (steroids, endocannabinoids, phosphoinositids), untargeted metabolomic and lipidomic readouts. In addition, this project also includes the development of data analysis tools to address complex research questions requiring for example multifactorial designs or integration with other omics.
Project Lead: Isabel Meister, Julien Boccard, Serge Rudaz – Université de Genève