Ancestral protein reconstruction and circular permutation for improving the stability and dynamic range of FRET sensors

Clifton B, Whitfield J, Sanchez-Romero I, Herde M, Henneberger C, Janovjak HL, Jackson C. 2017.Ancestral protein reconstruction and circular permutation for improving the stability and dynamic range of FRET sensors. In: Synthetic Protein Switches. Methods in Molecular Biology, vol. 1596, 71–87.

Download
No fulltext has been uploaded. References only!

Book Chapter | Published | English

Scopus indexed
Author
Clifton, Ben; Whitfield, Jason; Sanchez Romero, InmaISTA; Herde, Michel; Henneberger, Christian; Janovjak, Harald LISTA ; Jackson, Colin
Book Editor
Stein, Viktor
Department
Series Title
Methods in Molecular Biology
Abstract
Small molecule biosensors based on Forster resonance energy transfer (FRET) enable small molecule signaling to be monitored with high spatial and temporal resolution in complex cellular environments. FRET sensors can be constructed by fusing a pair of fluorescent proteins to a suitable recognition domain, such as a member of the solute-binding protein (SBP) superfamily. However, naturally occurring SBPs may be unsuitable for incorporation into FRET sensors due to their low thermostability, which may preclude imaging under physiological conditions, or because the positions of their N- and C-termini may be suboptimal for fusion of fluorescent proteins, which may limit the dynamic range of the resulting sensors. Here, we show how these problems can be overcome using ancestral protein reconstruction and circular permutation. Ancestral protein reconstruction, used as a protein engineering strategy, leverages phylogenetic information to improve the thermostability of proteins, while circular permutation enables the termini of an SBP to be repositioned to maximize the dynamic range of the resulting FRET sensor. We also provide a protocol for cloning the engineered SBPs into FRET sensor constructs using Golden Gate assembly and discuss considerations for in situ characterization of the FRET sensors.
Publishing Year
Date Published
2017-03-15
Book Title
Synthetic Protein Switches
Volume
1596
Page
71 - 87
ISSN
IST-REx-ID
957

Cite this

Clifton B, Whitfield J, Sanchez-Romero I, et al. Ancestral protein reconstruction and circular permutation for improving the stability and dynamic range of FRET sensors. In: Stein V, ed. Synthetic Protein Switches. Vol 1596. Synthetic Protein Switches. Springer; 2017:71-87. doi:10.1007/978-1-4939-6940-1_5
Clifton, B., Whitfield, J., Sanchez-Romero, I., Herde, M., Henneberger, C., Janovjak, H. L., & Jackson, C. (2017). Ancestral protein reconstruction and circular permutation for improving the stability and dynamic range of FRET sensors. In V. Stein (Ed.), Synthetic Protein Switches (Vol. 1596, pp. 71–87). Springer. https://doi.org/10.1007/978-1-4939-6940-1_5
Clifton, Ben, Jason Whitfield, Inmaculada Sanchez-Romero, Michel Herde, Christian Henneberger, Harald L Janovjak, and Colin Jackson. “Ancestral Protein Reconstruction and Circular Permutation for Improving the Stability and Dynamic Range of FRET Sensors.” In Synthetic Protein Switches, edited by Viktor Stein, 1596:71–87. Synthetic Protein Switches. Springer, 2017. https://doi.org/10.1007/978-1-4939-6940-1_5.
B. Clifton et al., “Ancestral protein reconstruction and circular permutation for improving the stability and dynamic range of FRET sensors,” in Synthetic Protein Switches, vol. 1596, V. Stein, Ed. Springer, 2017, pp. 71–87.
Clifton B, Whitfield J, Sanchez-Romero I, Herde M, Henneberger C, Janovjak HL, Jackson C. 2017.Ancestral protein reconstruction and circular permutation for improving the stability and dynamic range of FRET sensors. In: Synthetic Protein Switches. Methods in Molecular Biology, vol. 1596, 71–87.
Clifton, Ben, et al. “Ancestral Protein Reconstruction and Circular Permutation for Improving the Stability and Dynamic Range of FRET Sensors.” Synthetic Protein Switches, edited by Viktor Stein, vol. 1596, Springer, 2017, pp. 71–87, doi:10.1007/978-1-4939-6940-1_5.

Export

Marked Publications

Open Data ISTA Research Explorer

Search this title in

Google Scholar