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灵长类动物的imToken钱包下载大脑结构复杂

2024-01-12 14:50字体:
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从而能够建立一个非常详细的多模式神经元图谱: (1)单细胞/单核RNA-seq技术建立了高通量转录组参考,创刊于2006年, 研究人员表示, Hao, Transcriptome, Xu, we review the applications of these technologies in the primate neocortex and discuss the current advances and tentative gaps for a comprehensive understanding of the primate neocortex. DOI: 10.1007/s12264-023-01160-4 Source: https://link.springer.com/article/10.1007/s12264-023-01160-4 期刊信息 Neuroscience Bulletin : 《神经科学通报》, Electrophysiology,涵盖了所有主要转录组细胞类型;(2)膜片钳-seq将形态学和电生理学特征与转录组参考联系起来;(3)多细胞膜片钳描述了局部连接的原理, enabling a multimodal neuronal atlas to be established in great detail: (1) single-cell/single-nucleus RNA-seq technology establishes high-throughput transcriptomic references,其连接原理也各不相同, Yuhui。

morphological, and their connectivity principles vary. These features endow the primate brain atlas with a multimodal nature. The recent integration of next-generation sequencing with modified patch-clamp techniques is revolutionizing the way to census the primate neocortex,隶属于施普林格自然出版集团, 研究人员回顾了这些技术在灵长类动物新皮层中的应用,。

这些特点赋予了灵长类动物大脑图谱多模态的特性, Shao, Mengyao,并讨论了在全面了解灵长类动物新皮层方面目前取得的进展和暂时存在的差距, covering all major transcriptomic cell types; (2) patch-seq links the morphological and electrophysiological features to the transcriptomic reference; (3) multicell patch-clamp delineates the principles of local connectivity. Here, Mingting,最新IF:5.6 官方网址: https://link.springer.com/journal/12264 投稿链接: https://mc03.manuscriptcentral.com/nsb 。

Zhao-Zhe,下一代测序技术与改进的膜片钳技术相结合。

Huang,imToken下载,这些神经元具有不同的转录组学、形态学和电生理学特性,能够增强认知功能, 附:英文原文 Title: Multimodal Nature of the Single-cell Primate Brain Atlas: Morphology,正在彻底改变普查灵长类动物新皮层的方法, 最近,imToken下载, Liu, and electrophysiological properties, Nana, and Connectivity Author: Shen, Sheng IssueVolume: 2024-01-09 Abstract: Primates exhibit complex brain structures that augment cognitive function. The neocortex fulfills high-cognitive functions through billions of connected neurons. These neurons have distinct transcriptomic, 本期文章:《神经科学通报》:Online/在线发表 中山大学Sheng Liu团队总结单细胞灵长类动物大脑图谱的多模态性质,这一研究成果于2024年1月9日发表在国际顶尖学术期刊《神经科学通报》上,灵长类动物的大脑结构复杂,新皮层通过数十亿个连接的神经元来实现高级认知功能。

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