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多模态皮质神经元细胞类型分类

Multimodal cortical neuronal cell type classification.

作者信息

Mao Xiaoyi, Staiger Jochen F

机构信息

Institute for Neuroanatomy, University Medical Center Göttingen, Georg-August-University, Kreuzbergring 36, 37075, Göttingen, Germany.

出版信息

Pflugers Arch. 2024 May;476(5):721-733. doi: 10.1007/s00424-024-02923-2. Epub 2024 Feb 20.

Abstract

Since more than a century, neuroscientists have distinguished excitatory (glutamatergic) neurons with long-distance projections from inhibitory (GABAergic) neurons with local projections and established layer-dependent schemes for the ~ 80% excitatory (principal) cells as well as the ~ 20% inhibitory neurons. Whereas, in the early days, mainly morphological criteria were used to define cell types, later supplemented by electrophysiological and neurochemical properties, nowadays. single-cell transcriptomics is the method of choice for cell type classification. Bringing recent insight together, we conclude that despite all established layer- and area-dependent differences, there is a set of reliably identifiable cortical cell types that were named (among others) intratelencephalic (IT), extratelencephalic (ET), and corticothalamic (CT) for the excitatory cells, which altogether comprise ~ 56 transcriptomic cell types (t-types). By the same means, inhibitory neurons were subdivided into parvalbumin (PV), somatostatin (SST), vasoactive intestinal polypeptide (VIP), and "other (i.e. Lamp5/Sncg)" subpopulations, which altogether comprise ~ 60 t-types. The coming years will show which t-types actually translate into "real" cell types that show a common set of multimodal features, including not only transcriptome but also physiology and morphology as well as connectivity and ultimately function. Only with the better knowledge of clear-cut cell types and experimental access to them, we will be able to reveal their specific functions, a task which turned out to be difficult in a part of the brain being so much specialized for cognition as the cerebral cortex.

摘要

一个多世纪以来,神经科学家们已经区分出具有长距离投射的兴奋性(谷氨酸能)神经元和具有局部投射的抑制性(γ-氨基丁酸能)神经元,并为约80%的兴奋性(主要)细胞以及约20%的抑制性神经元建立了依赖于层的分类方案。早期主要使用形态学标准来定义细胞类型,后来补充了电生理和神经化学特性,而如今,单细胞转录组学是细胞类型分类的首选方法。综合近期的研究成果,我们得出结论,尽管存在所有已确定的依赖于层和区域的差异,但仍有一组可可靠识别的皮质细胞类型,其中兴奋性细胞被命名为(包括其他)脑内(IT)、脑外(ET)和皮质丘脑(CT)细胞类型,它们总共包含约56种转录组细胞类型(t型)。通过同样的方法,抑制性神经元被细分为小白蛋白(PV)、生长抑素(SST)、血管活性肠肽(VIP)和“其他(即Lamp5/Sncg)”亚群,它们总共包含约60种t型。未来几年将表明哪些t型实际上转化为具有一组共同多模态特征的“真正”细胞类型,这些特征不仅包括转录组,还包括生理学、形态学、连接性以及最终的功能。只有更好地了解明确的细胞类型并能够对其进行实验研究,我们才能揭示它们的特定功能,而在像大脑皮层这样高度专门用于认知的大脑区域,这一任务已被证明是困难的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca67/11033238/f16b73cd3287/424_2024_2923_Fig1_HTML.jpg

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