Date(s) - 01/11/2011
9:00 pm - 10:00 pm
It is critical time to solve the problems of current qualitative biology and medicine, as well as low-cost healthcare system. In this talk, I will discuss cellular nanosatellites that have triple functions: targeting, gene regulation, and sensing. New paradigm of molecular optogenetics by nanosatellites is not only for the remote control of gene regulations, but also to create transcriptional pulses optically for systematic biomedicine. Molecular imaging methods of wireless nanosatellites provide us a new opportunity to explore inner life of living cells for understanding signaling pathways and cellular dynamics. Capturing the dynamics of epigenetic landscape via nanosatellites might give us insights for the rational cell reprogramming in regenerative medicine. I will also share my vision for precision biology and personalized medicine via cellular BASICs* (Biologic Application Specific Integrated Circuits). Using these well-established cellular BASICs platform and plasmonic optical nanoantennae, we are developing Optofluidic Application Specific Integrated System (OASIS) for label-free bioassays and nucleic acid diagnostics. In summary, I will discus the critical role of 21st precision nanobiology for nanomedicine and low-cost healthcare systems.
Prof. Luke P. Lee is Arnold and Barbara Silverman Distinguished Professor of Bioengineering at UC Berkeley. He is also Co-Director of Berkeley Sensor & Actuator Center. He received both his B.A. in Biophysics and Ph.D. in Applied Physics (major) & Bioengineering (minor) from UC Berkeley. His current research interests are bionanoscience, biophotonics, molecular imaging of living cells, molecular diagnostics, and preventive personalized medicine by Biologically-inspired Photonics-Optofluidics-Electronics Technology and Science (BioPOETS). Prof. Lee has authored and co-authored over 230 papers on single cell analysis, optofluidics, microfluidic quantitative cell biology, biotechnology, BioMEMS, SQUIDs, nanoplasmonic PRET and SERS for label-free detection of biomolecular interactions. http://biopoets.berkeley.edu