Department of Neuroscience, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Science. 2019 Dec 13;366(6471):1384-1389. doi: 10.1126/science.aax8055.
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.
神经回路分析依赖于具有特定细胞类型的分子标记物。然而,对于仅通过其回路功能识别的细胞类型,鉴定标记物的过程仍然很繁琐。我们开发了生理光学标记测序(PhOTseq),这是一种基于功能特性对细胞进行标记和表达谱分析的技术。PhOTseq 能够选择稀有细胞类型,并将其富集近 100 倍。我们将 PhOTseq 应用于在小鼠的信息素感应神经元中映射受体-配体对的挑战中。与嗅球化学感受受体的体内异位表达相结合,PhOTseq 确定了特定配体的完整组合受体编码。