Using lipidomics analysis to identify therapeutic targets in cancer and infection
1:00pm - 2:00pm /
Monday 4th February 2019
/ Venue: Lecture Theatre 1 Life Sciences Building
- Jerry Turnbull
- Suitable for: Staff and students with an interest in Genomes, Systems and Therapeutic Targeting
- Admission: Free event
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Speaker: Michael Wakelam (Babraham Institute)
Advances in mass spectrometry have facilitated the development of methodologies that allow the determination of cellular and tissue lipidomes. Theoretically mammalian cells contain many thousands of individual lipid molecular species and whilst it is unlikely that all are present in a single cell, lipidomics experiments have demonstrated the presence of more than a thousand species. The integrated regulation of changes in lipid species controls cellular functions, including signalling and metabolism, highlighting the need for bioinformatics analysis to fully interpret lipidomics data. Using two experimental systems: human colorectal tumour tissue and rhinovirus-infected human bronchial epithelial cells, together with pathway analysis of lipid metabolising enzymes coupled to network optimising Prize-collecting Steiner tree problem methodology, we have identified key enzymatic changes with potential to be both biomarkers and therapeutic targets for treating cancer and infections.
Advances in mass spectrometry have facilitated the development of methodologies that allow the determination of cellular and tissue lipidomes. Theoretically mammalian cells contain many thousands of individual lipid molecular species and whilst it is unlikely that all are present in a single cell, lipidomics experiments have demonstrated the presence of more than a thousand species. The integrated regulation of changes in lipid species controls cellular functions, including signalling and metabolism, highlighting the need for bioinformatics analysis to fully interpret lipidomics data. Using two experimental systems: human colorectal tumour tissue and rhinovirus-infected human bronchial epithelial cells, together with pathway analysis of lipid metabolising enzymes coupled to network optimising Prize-collecting Steiner tree problem methodology, we have identified key enzymatic changes with potential to be both biomarkers and therapeutic targets for treating cancer and infections.