Metabolomics: Completing the Picture in Systems Biology
Sequencing an entire human genome today costs about a thousand dollars, and hundreds a week can be sequenced on the leading technology. The promise of uncovering life-saving disease insights are within our sights. However, with this capacity to generate -omics data, the challenge of making sense of these data is escalating. To maximize the potential of this big data for revealing the underpinnings of human health and disease, tapping into orthogonal data streams is essential to unravel its complexity. Many have recognized metabolomics as having unprecedented value to bringing clarity to complex -omics data. The reason is simple – metabolites are a proxy to the phenotype and metabolism is a central hub for the influences of genes, microbiota and environmental influences.
Practically, metabolomics serves as a "diagnostic" source of data for understanding the underpinnings of a phenotypic state whether that change is induced by a singular drug target, highly penetrant gene, or a subtle combination of influences. This webinar provides a detailed understanding of the fundamental nature of metabolomics and a visceral understanding of why it has become such a potent ally in bringing clarity to systems biology efforts. Importantly, we'll provide an explanation for why metabolomics has only more recently been exploited. Finally, we'll review examples of how metabolomics has identified sensitive and specific biomarkers and provided mechanistic insight into complex biological systems.
You will learn:
- How systems biology is ushering in a new wave of “big data” with remarkable potential to understand the basis of human health and disease
- Why orthogonal data streams will be required to unlock this big data information
- How examining a system's metabolism unlocks a key data stream for connecting -omic data to the phenotype
- Metabolomics is the most powerful way to systematically evaluate the metabolism of a system
- Why barriers to producing large-scale metabolomics analysis have existed and are now gone
- How metabolomics can expand and accelerate today's research
Kirk Beebe, Ph.D.,
Dr. Beebe received his Ph.D. in biochemistry from Ohio State University where he developed novel chemical biological approaches to understanding substrate selection for mammalian signaling proteins. Following this, he was a postodoctoral scientist and senior research associate at the Scripps Research Institute where he and Professor Paul Schimmel uncovered mechanistic links between genetic code translational fidelity and disease. As Director of Application Science for Metabolon, Dr. Beebe consults routinely on how metabolomics can be most effectively applied for those seeking to optimize research outcomes to discovery biomarkers or obtain deeper disease insight.
Duration: 33 minutes