1. DOE Resources & Facilities for Biological Discovery : Realizing the Potential Presentation to the BERAC 25 April 2002

2. “The advent of the genomic revolution has changed science profoundly. We can never look at a problem of biological understanding in just the same way again.”

3. The BER Program was instrumental in creating the Genomic Revolution Some BER contributions GenBank created (1983) Human Genome Project started (1987) Critical genomic technology development: –Capillary electrophoresis technology used to sequence the genome –Large insert cloning technology (BAC’s) First cDNA library sequencing effort Microbial genome project started (1993) JGI made major production contributions to genome sequencing (1999-2002)

4. The Science has changed A new era is beginning The first phase is ending - genomic information is readily available The next, transforming phase is beginning – the understanding of full, complex biological systems The potential for the nation’s science base and for critical DOE missions is immense GTL is the nucleus for the next phase within DOE, but more is needed

5. The Science has changed High data densities are needed to interrogate complex systems High-throughput technologies are essential to current biological research New research instrumentation and methods are rapidly emerging, e.g. –Protein and nucleic acid arrays –Proteomic methods –High resolution and high information imaging

6. The Science has changed New technical facilities & resources needed The scientific goals of the GTL program are key to the next phase, but more is needed to realize the opportunities New science dictates the need for new technical resources and facilities (GTL goals) –Molecular machines of life –Gene regulatory networks –Microbial interactions –Computational capabilities for biological systems Science examples can illustrate some of these changes and opportunities

7. EXAMPLE 1 Precise structures are encoded in genomes of microbial cells Calcium carbonate and silicate structures are formed by functions encoded and controlled by genomic information Genomic variations induce structural variations These are examples of where genomic / proteomic analyses can elucidate new mechanisms Mechanisms can enable engineering – precise, automatic control at the sub-micron level.

32. Genomic Variation  Structural Variation How does the genetic program control the nanostructures? How can we engineer it?

34. Silicatein: Structure-directing catalyst Polymerizes Silica, Methyl- and Phenyl-silsesquioxanes !

37. TiO growth on Silicatein Courtesy of Dan Morse, UCSB

38. EXAMPLE 2 A System at the experimental- theoretical interface ( E. H. Davidson et. al., Science 2002, 295, 1669) Early development of the sea urchin embryo Genetic networks for cell determination, interaction and function Regulatory network consists of transcription factor genes (  40 genes) and their regulatory sequences Program moves forward only – no homeostasis An example of building a complex predictive model by experimentation

39. A regulatory gene network model for endomesoderm specification Skeletogenic

40. Needed Capabilites Compilation of a comprehensive list with prioritization is needed Matching of facilties and resources to goals of GTL and other needs is essential Suggested list in our document –Existing resources to be incorporated –Non-inclusive list of proposed capabilties

41. Resources to be incorporated Sequencing: draft and finishing – JGI (LANL, Stanford, ORNL…) Microbial Database Center at TIGR NMR facilities and isotope labeling capabilites Mass Spectroscopy Mouse Facility RDP at Michigan State National Center for High Performance Computing Electron microscopes & other imaging facilites X-ray stations at synchrotrons Neutron diffraction stations (HFIR, LANSCE and SNS in future) Several technology centers of technology development

42. New Resources facilities with a functional focus Analysis of multiprotein complexes Mapping and Modeling Gene Regulatory Networks Microbial Growth & Interaction Combinatorial chemistry for “chemi-genomics” functional probes Molecular imaging: Cryo-EM, small angle X-ray … Production Proteomics Integration of computing resources in biology Large-scale protein production Mouse facility: new technologies, production transgenics, ENU mutagenesis …

43. New Resources cont’d: pilot facilities Protein production: new method development, focus on systematic production for the community High-throughput proteomics facility New approaches to intermediate-scale imaging facilties (multi-protein scale: e.g. ribosome) Analysis of nano-scale biological structures – genomics, chemistry and bio-control of 3-D structures and materials Large-scale DNA sequencing of targeted regions

44. Implementation and Management suggested principles BERAC, ASAC and broad scientific community planning, involvement Open, peer-reviewed competitive process Strong integration of sites, laboratories and users –across disciplines and –National Laboratory-University-Industry boundaries Pro-active evaluative process, pilot projects etc.. – try new approaches

45. Summary & Conclusions The science has changed New capabilites and resources are needed Its history and current thrusts position BER to make major contributions GTL provides the rationale and nucleus of a broader program BERAC and ASCAC should move to recommend specific action on a bold new program incorporating new facilities and resources