Cells rely on complex regulatory networks to sense and respond to environmental cues. The dynamics of the regulatory network governing cellular responses cannot be understood at the level of individual regulatory proteins, but rather emerges as a result of a complex web of biochemical interactions between multiple proteins, mRNA, and DMA. Our long-term objective to develop computational and experimental methods to dissect and analyze regulatory networks. With respect to human health, one of the most important prokaryotic regulatory networks underlies the type III secretion system (TTSS). The TTSS acts like a molecular syringe to inject bacterial effector proteins into the host cytosol. The TTSS is critical for virulence for many gram-negative pathogens, including Salmonella, Pseudomonas, E. coli, Shigella, Yersinia, Chlamydia, and Bordetella. Of these, the Salmonella TTSS responsible for invading mammalian cells (SPI-1) has the most well-characterized structure and regulation and is the focus of this proposal. In preliminary experiments, we have observed: 1. there is a temporal order in the expression of SPI-1 genes, 2. there is independent control of structural and effector genes, 3. there is hysteresis in the expression of effectors, and 4. the stochastic component of gene expression is differentially controlled. Based on these experiments, we hypothesize that the dynamics are dictated by two genetic circuits in the pathway. The first acts like a multi-signal integrator that commits to SPI-1 expression. The second is a bistable switch, where effectors are irreversibly activated after the needle structure is completed. This proposal seeks to use a combination of experiments, theory, and engineering to quantitatively characterize these circuits.
Aim 1 : Characterize two genetic circuits in the SPI-1 regulatory pathway. The first is responsible for integrating many environmental inputs and committing to the expression of the TTSS. The second forms a bistable switch that causes effector expression to persist after the input stimulus is removed.
Aim 2 : Engineer the network dynamics by adding artificial feedback loops. To determine how the topology of regulatory interactions encodes network dynamics, artificial feedback loops will be used to genetically perturb the network. This will provide insight into how complex dynamics evolve.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI067699-02
Application #
7337340
Study Section
Modeling and Analysis of Biological Systems Study Section (MABS)
Program Officer
Alexander, William A
Project Start
2007-01-01
Project End
2011-12-31
Budget Start
2008-01-01
Budget End
2008-12-31
Support Year
2
Fiscal Year
2008
Total Cost
$292,831
Indirect Cost
Name
University of California San Francisco
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Song, Miryoung; Sukovich, David J; Ciccarelli, Luciano et al. (2017) Control of type III protein secretion using a minimal genetic system. Nat Commun 8:14737
Rhodius, Virgil A; Segall-Shapiro, Thomas H; Sharon, Brian D et al. (2013) Design of orthogonal genetic switches based on a crosstalk map of ?s, anti-?s, and promoters. Mol Syst Biol 9:702
Temme, Karsten; Hill, Rena; Segall-Shapiro, Thomas H et al. (2012) Modular control of multiple pathways using engineered orthogonal T7 polymerases. Nucleic Acids Res 40:8773-81
Lou, Chunbo; Stanton, Brynne; Chen, Ying-Ja et al. (2012) Ribozyme-based insulator parts buffer synthetic circuits from genetic context. Nat Biotechnol 30:1137-42
Moon, Tae Seok; Lou, Chunbo; Tamsir, Alvin et al. (2012) Genetic programs constructed from layered logic gates in single cells. Nature 491:249-53
Moon, Tae Seok; Clarke, Elizabeth J; Groban, Eli S et al. (2011) Construction of a genetic multiplexer to toggle between chemosensory pathways in Escherichia coli. J Mol Biol 406:215-27
Clarke, Elizabeth J; Voigt, Christopher A (2011) Characterization of combinatorial patterns generated by multiple two-component sensors in E. coli that respond to many stimuli. Biotechnol Bioeng 108:666-75
Bokinsky, Gregory; Peralta-Yahya, Pamela P; George, Anthe et al. (2011) Synthesis of three advanced biofuels from ionic liquid-pretreated switchgrass using engineered Escherichia coli. Proc Natl Acad Sci U S A 108:19949-54
Toettcher, Jared E; Voigt, Christopher A; Weiner, Orion D et al. (2011) The promise of optogenetics in cell biology: interrogating molecular circuits in space and time. Nat Methods 8:35-8
Tabor, Jeffrey J; Levskaya, Anselm; Voigt, Christopher A (2011) Multichromatic control of gene expression in Escherichia coli. J Mol Biol 405:315-24

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