Quantitative Approaches to Gene Regulatory Systems
July 09-21, 2006
University of California - San Diego
Application period closed. Contact Christopher Smith for more info.
Schedule
Workshop Organizers:
Terence Hwa, CTBP/Physics, University of California, San Diego
Wei Wang, CTBP/Chemistry and Biochemistry, University of California, San Diego
Registration is open to local applicants (no housing or formal meals) who wish to attend this workshop. Please contact Christopher Smith, csmith@ctbp.ucsd.edu, to register.
Please be aware that the schedule will be fluid to accompdate the discussion needs of the participants and presenters. The schedule should be checked daily for any changes.
Description:
This workshop will provide an introduction to quantitative approaches to modeling and analyzing gene regulatory systems. The two-week workshop will consist of two parts: During the first week, tutorial lectures will be given to provide the basic molecular and biophysical underpinning of gene regulatory systems, including models of protein-DNA interaction, and mechanisms of transcriptional control. Lectures will then be given to introduce the participants to current computational approaches to studying gene regulation and its evolution, including methods of regulatory element identification, transcriptional module reconstruction and network motif analysis. The second week will be devoted to quantitative analysis of specific gene regulatory systems, including transcriptional and post-transcriptional control systems, fluctuation in gene expression, and dynamics of small genetic circuits. The participants will be assigned mini-projects to apply the lecture materials to model and analyze specific biological systems, thereby gaining hands-on experiences in both the nature of the biological problems and the methodologies of approaching them. The workshop is designed primarily for people with graduate-level training in the physical sciences (e.g., physics, physical chemistry, engineering) with a serious interest of moving into areas of quantitative/systems biology. Familiarity with the fundamentals of statistical mechanics and thermodynamics as well as computing are highly recommended.
Presenters:
David Arnosti, Biochemistry and Molecular Biology, Michigan State Univ
Michael Eisen, Molecular and Cell Biology, University of California Berkeley
Albert Goldbeter, Unit of Theoretical Chronobiology, Université Libre de Bruxelles
Ido Golding, Molecular Biology, Princeton University
Alexander Hoffman, Chemistry and Biochemistry, UCSD
Mogens Jensen, Niels Bohr institute, University of Copenhagen
James Kadonaga, Section of Molecular Biology, UCSD
Steve Kay, Biochemistry, The Scripps Research Institute
James Liao, Chemical and Biomolecular Engineering, UCLA
William McGinnis, Biology, UCSD
Amos Oppenheim, Molecular Genetics and Biotechnology, Hebrew University-Hadassah Medical School
Johan Paulsson, Systems BIology, Harvard Medical School
Nikolaus Rajewsky, Biology and Courant Institute, New York University
Aviv Regev, Bauer Center for Genomics Research, Harvard University
Bing Ren, Cellular and Molecular Medicine, UCSD
Virgil Rhodius, Microbiology and Immunology, UCSF
Eric Siggia, Center for Studies in Physics and Biology, Rockefeller University
Saurabh Sinha, Computer Science, Univ of Illinois at Urbana-Champaign
Christina Smolke, Chemical Engineering, California Institute of Technology
Joel Stavans, Physics of Complex Systems, Weizmann Institute of Science
Gary Stormo, Genetics, Washington University in St. Louis
Alan Wolfe, Microbiology and Immunology, Loyola University Chicago
Alexander van Oudenaarden, Physics, Massachusetts Institute of Technology
* = Tentative