A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters

Autor: Nikita Pak, Mikhail Drobizhev, Jeffrey L. Rhoades, Jessica L. Saulnier, Demian Park, Shoh Asano, Clemens Riegler, Edward S. Boyden, Misha B. Ahrens, Florian Engert, Young-Gyu Yoon, Ho-Jun Suk, Daniel Hochbaum, Changyang Linghu, Takashi Kawashima, Eftychios A. Pnevmatikakis, Steven W. Flavell, Kiryl D. Piatkevich, Daniel Goodwin, Bálint Szabó, Erica E. Jung, Chao-Tsung Yang, Limor Freifeld, Bernardo L. Sabatini, Or A. Shemesh, Thomas E. Hughes, Christoph Straub
Rok vydání: 2017
Předmět:
Zdroj: Nature chemical biology
ISSN: 1552-4469
Popis: We here present a new way to engineer complex proteins toward multidimensional specifications, through a simple yet scalable directed evolution strategy. By robotically picking mammalian cells that are identified, under a microscope, to express proteins that simultaneously exhibit several specific properties, we can screen through hundreds of thousands of proteins in a library in a matter of a few hours, evaluating each along multiple performance axes. We demonstrate the power of this approach by identifying a novel genetically encoded fluorescent voltage indicator, simultaneously optimizing brightness and membrane localization of the protein using our microscopy-guided cell picking strategy. We produced the high-performance opsin-based fluorescent voltage reporter Archon1, and demonstrated its utility by imaging spiking and millivolt-scale subthreshold and synaptic activity in acute mouse brain slices as well as in larval zebrafish in vivo. We also demonstrate measurement of postsynaptic responses downstream of optogenetically controlled neurons in C. elegans.
Databáze: OpenAIRE