Determinants of Channelrhodopsin Ion Selectivity
Structural foundations of optogenetics: Determinants of channelrhodopsin ion selectivity Andre Berndta,1, Soo Yeun Leea,1, Jonas Wietekb,1, Charu Ramakrishnana, Elizabeth E. Steinbergc,d, Asim J. Rashide, Hoseok Kimf, Sungmo Parke, Adam Santoroe, Paul W. Franklande, Shrivats M. Iyera, Sally Paka, Sofie Ährlund-Richterf, Scott L. Delpa, Robert C. Malenkac,d, Sheena A. Josselyne, Marie Carlénf, Peter Hegemannb, and Karl Deisserotha,c,g,2 aDepartment of Bioengineering, Stanford University, Stanford, CA 94305; bInstitute for Biology, Experimental Biophysics, Humboldt Universität zu Berlin, D-10115 Berlin, Germany; cDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305; dNancy Pritzker Laboratory, Stanford University, Stanford, CA 94305; eProgram in Neurosciences and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada M5G 1X8; fDepartment of Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden; and gHoward Hughes Medical Institute, Stanford University, Stanford, CA 94305 This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2012. Contributed by Karl Deisseroth, November 30, 2015 (sent for review November 16, 2015; reviewed by Lily Yeh Jan and Anatol Kreitzer) The structure-guided design of chloride-conducting channelrhodop- Converging lines of work recently achieved the latter goal; resolving sins has illuminated mechanisms underlying ion selectivity of this the high-resolution structure of channelrhodopsin (7) allowed a remarkable family of light-activated ion channels. The first gener- principled structure-guided approach to engineering for chloride ation of chloride-conducting channelrhodopsins, guided in part by selectivity by testing an electrostatic model for pore function (8, 9).
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