Method for developing optical sensors using a synthetic dye fluorescent protein FRET pair and computational modeling and assessment
Mitchell J, Zhang W, Herde M, Henneberger C, Janovjak HL, O’Mara M, Jackson C. 2017.Method for developing optical sensors using a synthetic dye fluorescent protein FRET pair and computational modeling and assessment. In: Synthetic Protein Switches. Methods in Molecular Biology, vol. 1596, 89–99.
Download
No fulltext has been uploaded. References only!
Book Chapter
| Published
| English
Scopus indexed
Author
Mitchell, Joshua;
Zhang, William;
Herde, Michel;
Henneberger, Christian;
Janovjak, Harald LISTA ;
O'Mara, Megan;
Jackson, Colin
Book Editor
Stein, Viktor
Department
Series Title
Methods in Molecular Biology
Abstract
Biosensors that exploit Forster resonance energy transfer (FRET) can be used to visualize biological and physiological processes and are capable of providing detailed information in both spatial and temporal dimensions. In a FRET-based biosensor, substrate binding is associated with a change in the relative positions of two fluorophores, leading to a change in FRET efficiency that may be observed in the fluorescence spectrum. As a result, their design requires a ligand-binding protein that exhibits a conformational change upon binding. However, not all ligand-binding proteins produce responsive sensors upon conjugation to fluorescent proteins or dyes, and identifying the optimum locations for the fluorophores often involves labor-intensive iterative design or high-throughput screening. Combining the genetic fusion of a fluorescent protein to the ligand-binding protein with site-specific covalent attachment of a fluorescent dye can allow fine control over the positions of the two fluorophores, allowing the construction of very sensitive sensors. This relies upon the accurate prediction of the locations of the two fluorophores in bound and unbound states. In this chapter, we describe a method for computational identification of dye-attachment sites that allows the use of cysteine modification to attach synthetic dyes that can be paired with a fluorescent protein for the purposes of creating FRET sensors.
Publishing Year
Date Published
2017-05-15
Book Title
Synthetic Protein Switches
Publisher
Springer
Volume
1596
Page
89 - 99
ISSN
IST-REx-ID
Cite this
Mitchell J, Zhang W, Herde M, et al. Method for developing optical sensors using a synthetic dye fluorescent protein FRET pair and computational modeling and assessment. In: Stein V, ed. Synthetic Protein Switches. Vol 1596. Synthetic Protein Switches. Springer; 2017:89-99. doi:10.1007/978-1-4939-6940-1_6
Mitchell, J., Zhang, W., Herde, M., Henneberger, C., Janovjak, H. L., O’Mara, M., & Jackson, C. (2017). Method for developing optical sensors using a synthetic dye fluorescent protein FRET pair and computational modeling and assessment. In V. Stein (Ed.), Synthetic Protein Switches (Vol. 1596, pp. 89–99). Springer. https://doi.org/10.1007/978-1-4939-6940-1_6
Mitchell, Joshua, William Zhang, Michel Herde, Christian Henneberger, Harald L Janovjak, Megan O’Mara, and Colin Jackson. “Method for Developing Optical Sensors Using a Synthetic Dye Fluorescent Protein FRET Pair and Computational Modeling and Assessment.” In Synthetic Protein Switches, edited by Viktor Stein, 1596:89–99. Synthetic Protein Switches. Springer, 2017. https://doi.org/10.1007/978-1-4939-6940-1_6.
J. Mitchell et al., “Method for developing optical sensors using a synthetic dye fluorescent protein FRET pair and computational modeling and assessment,” in Synthetic Protein Switches, vol. 1596, V. Stein, Ed. Springer, 2017, pp. 89–99.
Mitchell J, Zhang W, Herde M, Henneberger C, Janovjak HL, O’Mara M, Jackson C. 2017.Method for developing optical sensors using a synthetic dye fluorescent protein FRET pair and computational modeling and assessment. In: Synthetic Protein Switches. Methods in Molecular Biology, vol. 1596, 89–99.
Mitchell, Joshua, et al. “Method for Developing Optical Sensors Using a Synthetic Dye Fluorescent Protein FRET Pair and Computational Modeling and Assessment.” Synthetic Protein Switches, edited by Viktor Stein, vol. 1596, Springer, 2017, pp. 89–99, doi:10.1007/978-1-4939-6940-1_6.