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A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters

Author(s)
Piatkevich, Kiryl D; Jung, Erica E; Straub, Christoph; Linghu, Changyang; Park, Demian; Suk, Ho-Jun; Hochbaum, Daniel R; Goodwin, Daniel; Pnevmatikakis, Eftychios; Pak, Nikita; Kawashima, Takashi; Yang, Chao-Tsung; Rhoades, Jeffrey L; Shemesh, Or; Asano, Shoh; Yoon, Young-Gyu; Freifeld, Limor; Saulnier, Jessica L; Riegler, Clemens; Engert, Florian; Hughes, Thom; Drobizhev, Mikhail; Szabo, Balint; Ahrens, Misha B; Flavell, Steven W; Sabatini, Bernardo L; Boyden, Edward S; ... Show more Show less
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Abstract
© 2018 The Author(s). We developed a new way to engineer complex proteins toward multidimensional specifications using a simple, yet scalable, directed evolution strategy. By robotically picking mammalian cells that were identified, under a microscope, as expressing proteins that simultaneously exhibit several specific properties, we can screen hundreds of thousands of proteins in a library in just a few hours, evaluating each along multiple performance axes. To demonstrate the power of this approach, we created a genetically encoded fluorescent voltage indicator, simultaneously optimizing its brightness and membrane localization 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 and in larval zebrafish in vivo. We also measured postsynaptic responses downstream of optogenetically controlled neurons in C. elegans.
Date issued
2018
URI
https://hdl.handle.net/1721.1/134689
Department
Massachusetts Institute of Technology. Media Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Harvard University--MIT Division of Health Sciences and Technology; Massachusetts Institute of Technology. Department of Mechanical Engineering; Picower Institute for Learning and Memory; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Massachusetts Institute of Technology. Department of Biological Engineering; McGovern Institute for Brain Research at MIT
Journal
Nature Chemical Biology
Publisher
Springer Science and Business Media LLC

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