2P-NucTag: on-demand phototagging for molecular analysis of functionally identified cortical neurons

2P-NucTag:按需光标记,用于功能识别的皮质神经元的分子分析

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作者:Jingcheng Shi, Boaz Nutkovich, Dahlia Kushinsky, Bovey Y Rao, Stephanie A Herrlinger, Emmanouil Tsivourakis, Tiberiu S Mihaila, Katayun Cohen-Kashi Malina, Cliodhna K OToole, Margaret E Conde Paredes, Hyun C Yong, Brynn M Sanner, Angel Xie, Erdem Varol, Attila Losonczy, Ivo Spiegel

Abstract

Neural circuits are characterized by genetically and functionally diverse cell types. A mechanistic understanding of circuit function is predicated on linking the genetic and physiological properties of individual neurons. However, it remains highly challenging to map the transcriptional properties to functionally heterogeneous neuronal subtypes in mammalian cortical circuits in vivo. Here, we introduce a high-throughput two-photon nuclear phototagging (2P-NucTag) approach optimized for on-demand and indelible labeling of single neurons via a photoactivatable red fluorescent protein following in vivo functional characterization in behaving mice. We demonstrate the utility of this function-forward pipeline by selectively labeling and transcriptionally profiling previously inaccessible place and silent cells in the mouse hippocampus. Our results reveal unexpected differences in gene expression between these hippocampal pyramidal neurons with distinct spatial coding properties. Thus, 2P-NucTag opens a new way to uncover the molecular principles that govern the functional organization of neural circuits.

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