GenEE project 2000 Professor James S. Harris Group, Solid State Laboratory, Stanford University
Old GenEE Reports: 1999
GenEE quad-chart 2000
Jontes, J.D., Buchanan, J. and Smith, S.J., "Growth
cone and dendrite dynamics in zebrafish embryos: in vivo imaging of early
events in synaptogenesis," Nature Neuroscience 3: 231-237, (2000).
Jontes, J.D. and Smith, S.J, "Filopodia, spines and the generation of synaptic diversity," Neuron (in press), (2000)
Ahmari, S.E., Buchanan, J. and Smith, S.J, "Assembly of presynaptic active zones from cytoplasmic transport packets," Nature Neuroscience 3: 445-451, (2000).
Horowitz LF, Montmayeur JP, Echelard Y, Buck LB, "A genetic approach to trace neural circuits," Proc Natl Acad Sci USA 96:3194-9, (1999).
McAdams, H. H. and A. Arkin, "Genetic Regulation at the Nanomolar Scale: Its a Noisy Business!," Trends in Genetics, (1999). 15, 65-6 9.
McAdams, H. H. and Arkin, A., "Gene regulation: Towards a circuit engineering discipline," Current Biology, (2000). 10:318-320.
Judd, E. M., Laub, M. T., McAdams, H. H. "Toggles and oscillators: new genetic circuit designs," BioEssays (2000). 22:507-509
Reif, J. and Morf, M., "ADT Novel Integrated Technologies for Information Processing (NITIP) Task Force," NITIP Architecture Category : DNA/Biological, Requirements Report for Biomolecular Computation , SRC NITIP Task Force 2000, San Jose, (in preparation.)
Summary:
The objective of this program has been to explore the
self-organizing properties and computational architecture of the brain
with an eye to the development of new
architectures for machine computation.
Our lab's approach has been based on observation of the early development of the brain at the level of individual neurons and synapses. First we developed an advanced two photon microscope optimized for the study of living embryos of intensively studied model organisms, the fruit fly Drosophila and the zebrafish.
Next we concentrated on the development of genetically encoded fluorescent probes and on substantive applications in the study of biological self-organization.
The vast selection of Drosophila mutants is an extraordinary resource for exploring molecular events underlying development and disease. We have designed and
constructed an instrument that automatically separates Drosophila embryos of one genotype from a larger population of embryos, based on a fluorescent protein
marker. The machine sorts 15 living embryos per second with more than 99% accuracy. Sorting Drosophila embryos will solve longstanding problems
, read the details and see the images.
Comparative
Analysis of Genetic vs. Electronic Reliable Designs
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