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Nuclear RNA-seq of single neurons reveals molecular signatures of activation

机译:单神经元的核RNA序列揭示了激活的分子特征

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Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully recapitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos , Arc and Egr1 . SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes. In addition, we observe a continuum of activation states, revealing a pseudotemporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs, allowing for novel insights into neuronal activation patterns in vivo.
机译:单细胞测序方法已经成为鉴定限定的大脑区域内异质细胞类型的强大工具。应用单细胞技术研究激活的神经元的转录组可以深入了解与对给定经验的不同神经元反应有关的分子动力学。通过评估常见的全细胞和单核RNA测序(snRNA-seq)方法,此处我们显示snRNA-seq忠实地概括了与经验驱动的活性诱导相关的转录模式,包括立即早期基因(IEG),例如Fos,Arc和Egr1。小鼠齿状颗粒细胞的SnRNA-seq在短暂的新型环境暴露(包括诱导MAPK途径基因)后揭示了活化的神经元转录组的大规模变化。此外,我们观察到激活状态的连续性,揭示了仅从基因表达激活的伪时态模式。总之,被激活的神经元的snRNA-seq可以检查IEG以外的基因表达,从而为体内神经元激活模式提供新的见解。

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