한빛사 논문
Lief E. Fenno1,2,4, Charu Ramakrishnan2,4, Yoon Seok Kim2,4, Kathryn E. Evans2, Maisie Lo2, Sam Vesuna2, Masatoshi Inoue2, Kathy Y.M. Cheung2, Elle Yuen2, Nandini Pichamoorthy2, Alice S.O. Hong2, Karl Deisseroth1,2,3,5,*
1Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
2Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
3Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
4These authors contributed equally.
5Lead Contact
*Corresponding author
Abstract
The resolution and dimensionality with which biologists can characterize cell types have expanded dramatically in recent years, and intersectional consideration of such features (e.g., multiple gene expression and anatomical parameters) is increasingly understood to be essential. At the same time, genetically targeted technology for writing in and reading out activity patterns for cells in living organisms has enabled causal investigation in physiology and behavior; however, cell-type-specific delivery of these tools (including microbial opsins for optogenetics and genetically encoded Ca2+ indicators) has thus far fallen short of versatile targeting to cells jointly defined by many individually selected features. Here, we develop a comprehensive intersectional targeting toolbox including 39 novel vectors for joint-feature-targeted delivery of 13 molecular payloads (including opsins, indicators, and fluorophores), systematic approaches for development and optimization of new intersectional tools, hardware for in vivo monitoring of expression dynamics, and the first versatile single-virus tools (Triplesect) that enable targeting of triply defined cell types.
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