A 90-minute webinar (web seminar) on Systems Biology as a “new approach” in solving today’s health problems — includes summary of what systems biology is, how it is emerging as a current technology, and methods for addressing “systems medicine”.
Systems Biology: New Approaches, New Tools and Implications for Human Health Care
The original event was broadcast on:
Date: Thursday, October 30, 2008
Time: 1:00 PM EDT
Duration: 90-minutes
http://w.on24.com/r.htm?e=124050&s=1&k=7AE6968040C980E22D45F3994A29F4DA
Presentation is performed by the Institute for Systems Biology. Partially sponsored by Agilent Technologies.
My brief overview
Initial introduction includes overview of technical & market drivers, and convergence of science & technology to create the emerging field.
“P4” Medicine: predictive, preventive, participatory and personalized medicine.
What are the top revolutionary technologies today which will drive the next several years of research?
- High throughput and inexpensive DNA sequencing
- Using nanotechnology to measure proteins from small amounts of blood
- Information technology
System Biology’s largest “unsolved problems”
- Validated datasets are unavailable – the massive amount of data is not fully used and systems for analysis are not fully developed
- Open-to-the-public databases for research information is very important
- “it must be freely and publically available to all, including industry. […] Those publishing articles must take the extra step to continue improving the data after simply being published” – Akhilesh Pandey, M.D., Ph. D., Associate Professor, John Hopkins University
- Open-to-the-public databases for research information is very important
- Proteomics is still in its infancy
- Sharing data is difficult
- Building blocks are still being built; building blocks means specific databases for specialized data
- Drug industry develops many new drugs; “but what we really need is” to identify specific drug targets for specific diseases/conditions, for screening
- Lack of qualified people working in the field
- “Biologists have to take second major in an engineering science” — Leroy Hood, M.D., Ph. D., President, Institute for Systems Biology
A typical Proteomics and Metabolomics workflow
- Reduce complexity – Fractionation (mRP/UV); immunodepletion; MRP, OGE; sample preparation for membrane proteins
- Profiling differences – Profiling (ToF); glycan profiling; metabolite profiling; biomarker discovery
- Identifying Compounds – Identification (IT, QToF); PTM; glycan ID; metabolite ID; biomarker discovery
- Characterizing differences – Characterization (QToF); intact protein; de-novo sequencing; protein complexes; membrane proteins; metalloproteins
- Targeted quantitation – Validation (QQQ); biomarker screening by MRM; metabolite screening (UV, GC/MS, QQQ, ToF, QToF, IT, CE-MS, ICP-MS)
Discussed web site links
- http://www.netpath.org – complete pathways for human systems