This proposal has two long-term goals. The first is an understanding, in precise molecular terms, of the mechanism of action of highly conserved repressor of gene transcription. This work will be carried out with the S. cerevisiae Ssn6-Tupl repressor and emphasizes the use of purified proteins for biochemical and structural approaches designed to deduce molecular mechanisms. Genetic approaches in S. cerevisiae, which include the extensive use of microarray technologies will be used to test models derived from biochemical experiments and as exploratory tools. The second long-term goal is a description of the entire Ssn6-Tupl regulatory network in S. cerevisiae and several related yeasts, including all the DNA-binding proteins that utilize Ssn6-Tupl and the complete sets of genes controlled by each DNA-binding protein. The ultimate goal of this work is an understanding of how regulatory circuits that are composed of highly conserved components become specialized over evolutionary time scales. Given the high degree of conservation of gene regulatory proteins and general transcription factors among eukaryotes, it seems likely that many of the principles developed for the yeast proteins covered in this proposal will apply in other settings. A basic understanding of the molecular events underlying cell specialization provides not only a framework for understanding how the process can fail, but also provides the substrates and knowledge to design therapeutic strategies based on intervention. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM037049-17
Application #
6573483
Study Section
Microbial Physiology and Genetics Subcommittee 2 (MBC)
Program Officer
Tompkins, Laurie
Project Start
1986-08-01
Project End
2006-11-30
Budget Start
2002-12-05
Budget End
2003-11-30
Support Year
17
Fiscal Year
2003
Total Cost
$359,905
Indirect Cost
Name
University of California San Francisco
Department
Microbiology/Immun/Virology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Sorrells, Trevor R; Johnson, Amanda N; Howard, Conor J et al. (2018) Intrinsic cooperativity potentiates parallel cis-regulatory evolution. Elife 7:
Johnson, Alexander D (2017) The rewiring of transcription circuits in evolution. Curr Opin Genet Dev 47:121-127
Dalal, Chiraj K; Johnson, Alexander D (2017) How transcription circuits explore alternative architectures while maintaining overall circuit output. Genes Dev 31:1397-1405
Nocedal, Isabel; Mancera, Eugenio; Johnson, Alexander D (2017) Gene regulatory network plasticity predates a switch in function of a conserved transcription regulator. Elife 6:
Hanson-Smith, Victor; Johnson, Alexander (2016) PhyloBot: A Web Portal for Automated Phylogenetics, Ancestral Sequence Reconstruction, and Exploration of Mutational Trajectories. PLoS Comput Biol 12:e1004976
Sorrells, Trevor R; Johnson, Alexander D (2015) Making sense of transcription networks. Cell 161:714-23
Sorrells, Trevor R; Booth, Lauren N; Tuch, Brian B et al. (2015) Intersecting transcription networks constrain gene regulatory evolution. Nature 523:361-5
Nocedal, Isabel; Johnson, Alexander D (2015) How Transcription Networks Evolve and Produce Biological Novelty. Cold Spring Harb Symp Quant Biol 80:265-74
Howard, Conor J; Hanson-Smith, Victor; Kennedy, Kristopher J et al. (2014) Ancestral resurrection reveals evolutionary mechanisms of kinase plasticity. Elife 3:
Baker, Christopher R; Hanson-Smith, Victor; Johnson, Alexander D (2013) Following gene duplication, paralog interference constrains transcriptional circuit evolution. Science 342:104-8

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