云端论脑预告 | 一作带你读Science

2020-12-12 14:01 作者:脑人言 0人读过 | 我要投稿

现有的主流观点认为PVH神经元集群通过专线（labeled-line coding）编码各种行为状态：每种PVH神经元类型都会承担一种特定的功能，并仅在该特定的行为状态下做出反应。运用CaRMA成像，定量行为分析，机器学习等手段，我们发现PVH神经元集群是通过不同的神经元类型组合方式（grouped-ensemble coding）来编码多种行为的，并揭示了神经肽Y受体（Npy1r）能有效协同各种类型神经元的活动。

论文题目：

文章摘要：

Brains encode behaviors using neurons amenable to systematic classification by gene expression. The contribution of molecular identity to neural coding is not understood because of the challenges involved with measuring neural dynamics and molecular information from the same cells. We developed CaRMA (calcium and RNA multiplexed activity) imaging based on recording in vivo single-neuron calcium dynamics followed by gene expression analysis. We simultaneously monitored activity in hundreds of neurons in mouse paraventricular hypothalamus (PVH). Combinations of cell-type marker genes had predictive power for neuronal responses across 11 behavioral states. The PVH uses combinatorial assemblies of molecularly defined neuron populations for grouped-ensemble coding of survival behaviors. The neuropeptide receptor neuropeptide Y receptor type 1 (Npy1r) amalgamated multiple cell types with similar responses. Our results show that molecularly defined neurons are important processing units for brain function.

报告嘉宾：

徐圣进，中科院神经所博士。目前，在Janelia Research Campus的Scott Sternson研究组进行博后工作。结合单细胞RNA测序，深部脑区双光子钙成像和多重复用荧光原位杂交开发了CaRMA成像。运用CaRMA成像，定量行为分析，机器学习等手段研究了下丘脑室旁核（PVH）中多种类型的神经元集群如何编码多种生存行为，并系统地分析了下丘脑室旁核中基因表达、神经元活动及动物行为之间的关系。