Team:Slovenia/TheSwitch
From 2012.igem.org
Overview
Introduction of complex regulatory circuits in mammalian cells requires the availability of a large number of designable orthogonal switches. We provide this new type of bistable toggle switch based on designable TAL regulators as a powerful tool to the synthetic biology community.
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Figure 1. Schematic representation of a positive feedback loop switch.
Our project aims to produce biopharmaceuticals by engineered cells. With tight but versatile regulation and safety in mind, we set out to contribute some fundamental advances to synthetic biology. We considered two options of regulating production of therapeutic proteins in mammalian cells:
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We consulted several physicians concerning different potential therapeutic applications of such a delivery system. As examples of medical problems we considered hepatitis C infection, wound healing and cardiovascular ischemia.
Physicians by and large preferred the ability of the device to be controlled by the therapist to the autonomous switching by sensing internal physiological signals. An additional advantage of a controlled switch is that a very similar device core could be used for many different therapeutic applications.
Synthetic biology has already demonstrated the ability of a genetic device to assume different stable states. However, while prokaryotic DNA-binding domains appear to be efficient tool for device construction, their number is limited and currently does not allow scalability to construct complex logical functions. On the other hand, modular DNA-binding protein domains are known that can be designed to bind to almost any DNA sequence, providing high orthogonality.
Therefore the challenge was to prepare an epigenetic switch based on designable DNA binding domains, such as zinc finger proteins or TAL effectors that can be designed to recognize a selected DNA sequence. This would allow the simultaneous introduction of several bistable or more complex switches into mammalian cells for advanced applications. To our knowledge, a designed DNA binding protein-based toggle switch has not been implemented experimentally so far, neither in mammalian nor in bacterial cells. This endeavour has to be supported by modeling to evaluate which type of genetic switch topology has the best performance, is more robust and which parameters are most critical for its performance.
Epigenetic toggle switches have, however, been implemented using natural bacterial transcription factors (Gardner et al., 2000). An epigenetic toggle switch is a genetic network, designed to memorize its state and maintain expression of a gene of choice even after the inducer has been removed (Cherry & Adler, 2000). Only when a second signal (inducer) is provided to the cells, the system will switch to a different state, shutting off expression of the first protein and/or initiating production of a second one. This type of a toggle switch allows the system to assume two discrete states, e.g. no production or production of an effector at a preset level, or selection between the production of two different protein effectors. A bistable toggle switch or combinations of several switches would permit selection of two or several therapeutic regimens, respectively.
If we want the switches to function independently of each other or independent of other cell processes, they need to be based on the orthologous DNA-binding domains. We therefore decided to construct the genetic core of our device from TAL effectors, whose code of DNA recognition has been deciphered recently (Boch et al., 2009). TAL effectors have modular structure, with each module recognizing a single base pair. TAL effectors, fused to FokI nuclease, were quickly adopted as highly specific and easily customizable genome editing tools (Christian et al, 2010; Bogdanove et al., 2011, Li et al., 2011). For synthetic biologists, TAL effectors represent perfect candidates for engineering artificial transcription factors due to their high specificity, modularity, ability to target virtually any sequence and last, but not least, they do not exhibit toxicity when expressed in cells, except in case they target an essential endogenous gene. Indeed, in addition to endonucleases, transcription factors employing TALs as DNA binding domains have also been reported recently: transcription activators were constructed by fusing TALs to the mammalian activation domain VP16 or VP64 (Zhang et al., 2011) and, when our project already started, transcription repressors were reported, based on fusion of TALs with a KRAB heterochromatin silencing domain (Garg et al., 2012).
References
Boch, J., Scholze, H., Schornack, S., Landgraf, A., Hahn, S., Kay, S., Lahaye, T., Nickstadt, A., and Bonas, U. (2009) Breaking the Code of DNA Binding Specificity of TAL-Type III Effectors. Science. 326, 1509-1512.
Bogdanove, A. J., and Voytas, D. F. (2011) TAL Effectors: Customizable Proteins for DNA Targeting. Science. 333, 1843-1846.
Cherry, J. L. and Adler, F. R. (2000) How to make a Biological Switch. J. Theor. Biol. 203, 117-133.
Christian, M., Cermak, T., Doyle, E. L., Schmidt, C., Zhang, F., hummel, A., Bognadove, A. J., and Voytas, D. F. (2010) Targeting DNA Double-Strand Breaks with TAL Effector Nucleases. Genetics 186, 757-761.
Gardner, T. S., Cantor, C. R., and Collins, J. J. (2000) Construction of a genetic toggle switch in Escherichia coli. Nature. 403, 339-342.
Garg, A., Lohmueller, J. J., Silver, P. A. and Armel, T.Z. (2012) Engineering synthetic TAL effectors with orthogonal target sites. Nucleic Acids Res. 40, 7584-95.
Karlsson, M., Weber, W., and Fussenegger, M. (2012) Design and construction of synthetic gene networks in mammalian cells. Methods Mol. Biol. 813, 359-376.
Li, T., Huang, S., Jiang, W. Z., Wright, D., Spalding, M. H., Weeks, D., P., and Yang, B. (2011) TAL nucleases (TALNs): hybrid proteins composed of TAL effectors and FokI DNA-cleavage domain. Nucleic Acids Res. 39, 359-372.
Zhang, F., Cong, L., Lodato, S., Kosuri, S., Church, G. M., and Arlotta, P. (2011) Efficient construction of sequence-specific TAL effectors for modulating mammalian transcription. Nat. Biotechnol. 29, 149-153.
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