A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters article

Kiryl D. Piatkevich, Erica E. Jung, Christoph Straub, Changyang Linghu, Demian Park, Ho Jun Suk, Daniel R. Hochbaum, Daniel Goodwin, Eftychios Pnevmatikakis, Nikita Pak, Takashi Kawashima, Chao Tsung Yang, Jeffrey L. Rhoades, Or Shemesh, Shoh Asano, Young Gyu Yoon, Limor Freifeld, Jessica L. Saulnier, Clemens Riegler, Florian EngertThom Hughes, Mikhail Drobizhev, Balint Szabo, Misha B. Ahrens, Steven W. Flavell, Bernardo L. Sabatini, Edward S. Boyden*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

240 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)352-360
Number of pages9
JournalNature Chemical Biology
Volume14
Issue number4
DOIs
StatePublished - 1 Apr 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 The Author(s).

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