Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.

Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.
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DOI:
10.1016/j.cell.2020.09.057
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发表时间:
2020-11-12
期刊:
影响因子:
64.5
通讯作者:
Zeng H
Zeng H
中科院分区:
生物学1区
文献类型:
--
作者:
Gouwens NW;Sorensen SA;Baftizadeh F;Budzillo A;Lee BR;Jarsky T;Alfiler L;Baker K;Barkan E;Berry K;Bertagnolli D;Bickley K;Bomben J;Braun T;Brouner K;Casper T;Crichton K;Daigle TL;Dalley R;de Frates RA;Dee N;Desta T;Lee SD;Dotson N;Egdorf T;Ellingwood L;Enstrom R;Esposito L;Farrell C;Feng D;Fong O;Gala R;Gamlin C;Gary A;Glandon A;Goldy J;Gorham M;Graybuck L;Gu H;Hadley K;Hawrylycz MJ;Henry AM;Hill D;Hupp M;Kebede S;Kim TK;Kim L;Kroll M;Lee C;Link KE;Mallory M;Mann R;Maxwell M;McGraw M;McMillen D;Mukora A;Ng L;Ng L;Ngo K;Nicovich PR;Oldre A;Park D;Peng H;Penn O;Pham T;Pom A;Popović Z;Potekhina L;Rajanbabu R;Ransford S;Reid D;Rimorin C;Robertson M;Ronellenfitch K;Ruiz A;Sandman D;Smith K;Sulc J;Sunkin SM;Szafer A;Tieu M;Torkelson A;Trinh J;Tung H;Wakeman W;Ward K;Williams G;Zhou Z;Ting JT;Arkhipov A;Sümbül U;Lein ES;Koch C;Yao Z;Tasic B;Berg J;Murphy GJ;Zeng H

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神经元通常根据结构、生理或遗传属性分为不同的类型。为了更好地限制神经元细胞类型的定义,我们表征了超过4,200个小鼠视觉皮层GABA能中间神经元的转录组和内在生理特性,并重建了其中517个神经元的局部形态。我们发现,大多数转录组类型(t型)占据特定的层状位置内的视觉皮层,并且,对于大多数类型,映射到t型的细胞表现出一致的电生理和形态学特性。这些属性显示离散和连续的t型之间的变化。通过多模态综合分析,我们定义了28种MET类型,具有一致的形态学,电生理学和转录组学特性和强大的相互可预测性。我们确定层特定的轴突神经支配模式作为区分不同的MET类型的定义功能。这些MET类型代表了皮质GABA能中间神经元类型的统一定义,提供了一个系统的框架来捕获现有的知识并在不同模式之间架起未来分析的桥梁。小鼠视皮层GABA能中间神经元根据其形态学、电生理学和转录组学特征可分为28种类型,并以其轴突神经支配的层次特异性模式为特征。
Neurons are frequently classified into distinct types on the basis of structural, physiological, or genetic attributes. To better constrain the definition of neuronal cell types, we characterized the transcriptomes and intrinsic physiological properties of over 4,200 mouse visual cortical GABAergic interneurons and reconstructed the local morphologies of 517 of those neurons. We find that most transcriptomic types (t-types) occupy specific laminar positions within visual cortex, and, for most types, the cells mapping to a t-type exhibit consistent electrophysiological and morphological properties. These properties display both discrete and continuous variation among t-types. Through multimodal integrated analysis we define 28 met-types that have congruent morphological, electrophysiological, and transcriptomic properties and robust mutual predictability. We identify layer-specific axon innervation pattern as a defining feature distinguishing different met-types. These met-types represent a unified definition of cortical GABAergic interneuron types, providing a systematic framework to capture existing knowledge and bridge future analyses across different modalities. GABAergic cortical interneurons of the mouse visual cortex can be defined into 28 types based on their morphological, electrophysiological and transcriptomic properties and are distinguished by their layer-specific axon innervation patterns.
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