Sensory coding mechanisms revealed by optical tagging of physiologically defined neuronal types

Donghoon Lee, Maiko Kume, Timothy E. Holy

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Neural circuit analysis relies on having molecular markers for specific cell types. However, for a cell type identified only by its circuit function, the process of identifying markers remains laborious. We developed physiological optical tagging sequencing (PhOTseq), a technique for tagging and expression profiling of cells on the basis of their functional properties. PhOTseq was capable of selecting rare cell types and enriching them by nearly 100-fold. We applied PhOTseq to the challenge of mapping receptor-ligand pairings among pheromone-sensing neurons in mice. Together with in vivo ectopic expression of vomeronasal chemoreceptors, PhOTseq identified the complete combinatorial receptor code for a specific set of ligands.

Original languageEnglish
Pages (from-to)1384-1389
Number of pages6
JournalScience
Volume366
Issue number6471
DOIs
StatePublished - Dec 13 2019

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