Control of protein signaling using a computationally designed GTPase/GEF orthogonal pair

Signaling pathways depend on regulatory protein-protein interactions; controlling these interactions in cells has important applications for reengineering biological functions. As many regulatory proteins are modular, considerable progress in engineering signaling circuits has been made by recombini...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 109; no. 14; pp. 5277 - 5282
Main Authors Kapp, Gregory T, Liu, Sen, Stein, Amelie, Wong, Derek T, Reményi, Attila, Yeh, Brian J, Fraser, James S, Taunton, Jack, Lim, Wendell A, Kortemme, Tanja
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 03.04.2012
National Acad Sciences
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Summary:Signaling pathways depend on regulatory protein-protein interactions; controlling these interactions in cells has important applications for reengineering biological functions. As many regulatory proteins are modular, considerable progress in engineering signaling circuits has been made by recombining commonly occurring domains. Our ability to predictably engineer cellular functions, however, is constrained by complex crosstalk observed in naturally occurring domains. Here we demonstrate a strategy for improving and simplifying protein network engineering: using computational design to create orthogonal (non-crossreacting) protein-protein interfaces. We validated the design of the interface between a key signaling protein, the GTPase Cdc42, and its activator, Intersectin, biochemically and by solving the crystal structure of the engineered complex. The designed GTPase (orthoCdc42) is activated exclusively by its engineered cognate partner (orthoIntersectin), but maintains the ability to interface with other GTPase signaling circuit components in vitro. In mammalian cells, orthoCdc42 activity can be regulated by orthoIntersectin, but not wild-type Intersectin, showing that the designed interaction can trigger complex processes. Computational design of protein interfaces thus promises to provide specific components that facilitate the predictable engineering of cellular functions.
Bibliography:http://dx.doi.org/10.1073/pnas.1114487109
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3Present address: Institute of Molecular Biology, Medical Science College, China Three Gorges University, Yichang 443002, China.
4Present address: Department of Biochemistry, Eötvös Loránd University, 1117 Budapest, Hungary.
Author contributions: G.T.K., S.L., A.S., W.A.L., and T.K. designed research; G.T.K., S.L., A.S., D.T.W., A.R., B.J.Y., and J.S.F. performed research; D.T.W., B.J.Y., J.S.F., and J.T. contributed new reagents/analytic tools; G.T.K., S.L., A.S., D.T.W., A.R., B.J.Y., J.S.F., J.T., and T.K. analyzed data; and G.T.K., S.L., A.S., J.S.F., and T.K. wrote the paper.
Edited by David Baker, University of Washington, Seattle, WA, and approved January 27, 2012 (received for review September 6, 2011)
2Present address: Omniox, Inc., San Francisco, CA 94158.
1G.T.K. and S.L. contributed equally to this work.
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.1114487109