Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.
Unger, E.K., Keller, J.P., Altermatt, M., Liang, R., Matsui, A., Dong, C., Hon, O.J., Yao, Z., Sun, J., Banala, S., Flanigan, M.E., Jaffe, D.A., Hartanto, S., Carlen, J., Mizuno, G.O., Borden, P.M., Shivange, A.V., Cameron, L.P., Sinning, S., Underhill, S.M., Olson, D.E., Amara, S.G., Temple Lang, D., Rudnick, G., Marvin, J.S., Lavis, L.D., Lester, H.A., Alvarez, V.A., Fisher, A.J., Prescher, J.A., Kash, T.L., Yarov-Yarovoy, V., Gradinaru, V., Looger, L.L., Tian, L.(2020) Cell 183: 1986-2002.e26
- PubMed: 33333022 
- DOI: https://doi.org/10.1016/j.cell.2020.11.040
- Primary Citation of Related Structures:  
6PER - PubMed Abstract: 
Serotonin plays a central role in cognition and is the target of most pharmaceuticals for psychiatric disorders. Existing drugs have limited efficacy; creation of improved versions will require better understanding of serotonergic circuitry, which has been hampered by our inability to monitor serotonin release and transport with high spatial and temporal resolution. We developed and applied a binding-pocket redesign strategy, guided by machine learning, to create a high-performance, soluble, fluorescent serotonin sensor (iSeroSnFR), enabling optical detection of millisecond-scale serotonin transients. We demonstrate that iSeroSnFR can be used to detect serotonin release in freely behaving mice during fear conditioning, social interaction, and sleep/wake transitions. We also developed a robust assay of serotonin transporter function and modulation by drugs. We expect that both machine-learning-guided binding-pocket redesign and iSeroSnFR will have broad utility for the development of other sensors and in vitro and in vivo serotonin detection, respectively.
Organizational Affiliation: 
Departments of Biochemistry and Molecular Medicine, Chemistry, Statistics, Molecular and Cellular Biology, and Physiology and Membrane Biology, the Center for Neuroscience, and Graduate Programs in Molecular, Cellular, and Integrative Physiology, Biochemistry, Molecular, Cellular and Developmental Biology and Neuroscience, University of California, Davis, Davis, CA 95616, USA.