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Decoding Cellular Mechanisms for Mechanosensory Discrimination
Neuron ( IF 16.2 ) Pub Date : 2020-11-12 , DOI: 10.1016/j.neuron.2020.10.028
Lars J von Buchholtz 1 , Nima Ghitani 2 , Ruby M Lam 3 , Julia A Licholai 4 , Alexander T Chesler 2 , Nicholas J P Ryba 1
Affiliation  

Single-cell RNA-sequencing and in vivo functional imaging provide expansive but disconnected views of neuronal diversity. Here, we developed a strategy for linking these modes of classification to explore molecular and cellular mechanisms responsible for detecting and encoding touch. By broadly mapping function to neuronal class, we uncovered a clear transcriptomic logic responsible for the sensitivity and selectivity of mammalian mechanosensory neurons. Notably, cell types with divergent gene-expression profiles often shared very similar properties, but we also discovered transcriptomically related neurons with specialized and divergent functions. Applying our approach to knockout mice revealed that Piezo2 differentially tunes all types of mechanosensory neurons with marked cell-class dependence. Together, our data demonstrate how mechanical stimuli recruit characteristic ensembles of transcriptomically defined neurons, providing rules to help explain the discriminatory power of touch. We anticipate a similar approach could expose fundamental principles governing representation of information throughout the nervous system.



中文翻译:

解码用于机械感觉歧视的细胞机制

单细胞 RNA 测序和体内功能成像提供了神经元多样性的广阔但不连贯的观点。在这里,我们开发了一种将这些分类模式联系起来的策略,以探索负责检测和编码触摸的分子和细胞机制。通过将功能广泛映射到神经元类别,我们发现了负责哺乳动物机械感觉神经元的敏感性和选择性的清晰转录组学逻辑。值得注意的是,具有不同基因表达谱的细胞类型通常具有非常相似的特性,但我们还发现了具有专门和不同功能的转录相关神经元。将我们的方法应用于基因敲除小鼠表明,Piezo2 对所有类型的具有显着细胞类别依赖性的机械感觉神经元进行差异调节。一起,我们的数据展示了机械刺激如何招募转录组学定义的神经元的特征集合,提供规则来帮助解释触摸的辨别力。我们预计类似的方法可以揭示管理整个神经系统信息表示的基本原则。

更新日期:2021-01-20
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