Making the Most of ‘Omics Data - Manuel Mayr, King’s College London

Explore the potential of 'omics data in cardiovascular research through this informative 22-minute talk by Manuel Mayr from King's College London. Delve into the world of proteomics, genomics, and lipidomics as applied to cardiovascular science. Learn about the transition from genes to gene products, the differences between indirect and direct protein measurements, and the complexities of the human plasma proteome. Discover the advantages of cardiac myosin-binding protein C over troponin in cardiac diagnostics. Gain insights into aptamer-based proteomics and its applications in clinical cohorts. Understand the person-based progression model of atherosclerosis and the role of lipoproteins in cardiovascular disease. Explore apolipoprotein profiling using mass spectrometry and its associations with incident cardiovascular disease. Examine the importance of data quality in research and the validation of findings using nuclear resonance spectroscopy. Investigate the concept of remnant cholesterol and its impact on atherosclerosis. This talk, presented at the Alan Turing Institute, offers valuable knowledge for researchers interested in applying data science approaches to cardiovascular research challenges.

Intro
From Genes to Gene Products
Indirect versus Direct Protein Measurements
The Human Plasma Proteome
Troponin versus Cardiac Myosin-binding Protein C
Aptamer-Based Proteomics
Application to Clinical Cohorts
Person-based Progression Model of Atherosclerosis
Lipoproteins: Apolipoprotein as Protein Component
Apolipoprotein Profiling by Mass Spectrometry
Associations with Incident Cardiovascular Disease
Cardiovascular Risk Beyond LDL Cholesterol
The cost of poor data is the illusion of knowledge
Validation by Nuclear Resonance Spectroscopy
Remnant Cholesterol and Atherosclerosis
When big data is also the right data ....
Bioinformatics Team @ Cardiovascular Proteomics Lab