| First Author | Lee D | Year | 2019 |
| Journal | Science | Volume | 366 |
| Issue | 6471 | Pages | 1384-1389 |
| PubMed ID | 31831669 | Mgi Jnum | J:282251 |
| Mgi Id | MGI:6382535 | Doi | 10.1126/science.aax8055 |
| Citation | Lee D, et al. (2019) Sensory coding mechanisms revealed by optical tagging of physiologically defined neuronal types. Science 366(6471):1384-1389 |
| abstractText | 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. |
