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单细胞起始的跨突触示踪揭示外侧膝状核中视觉整合的不同模式

Different Modes of Visual Integration in the Lateral Geniculate Nucleus Revealed by Single-Cell-Initiated Transsynaptic Tracing.

作者信息

Rompani Santiago B, Müllner Fiona E, Wanner Adrian, Zhang Chi, Roth Chiara N, Yonehara Keisuke, Roska Botond

机构信息

Neural Circuit Laboratories, Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.

Neural Circuit Laboratories, Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland; Department of Ophthalmology and Visual Science, University of Louisville, Louisville, KY 40208, USA.

出版信息

Neuron. 2017 Feb 22;93(4):767-776.e6. doi: 10.1016/j.neuron.2017.01.028.

DOI:10.1016/j.neuron.2017.01.028
PMID:28231464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5330803/
Abstract

The thalamus receives sensory input from different circuits in the periphery. How these sensory channels are integrated at the level of single thalamic cells is not well understood. We performed targeted single-cell-initiated transsynaptic tracing to label the retinal ganglion cells that provide input to individual principal cells in the mouse lateral geniculate nucleus (LGN). We identified three modes of sensory integration by single LGN cells. In the first, 1-5 ganglion cells of mostly the same type converged from one eye, indicating a relay mode. In the second, 6-36 ganglion cells of different types converged from one eye, revealing a combination mode. In the third, up to 91 ganglion cells converged from both eyes, revealing a binocular combination mode in which functionally specialized ipsilateral inputs joined broadly distributed contralateral inputs. Thus, the LGN employs at least three modes of visual input integration, each exhibiting different degrees of specialization.

摘要

丘脑从外周的不同回路接收感觉输入。这些感觉通道如何在单个丘脑细胞水平上整合,目前还不太清楚。我们进行了有针对性的单细胞起始跨突触追踪,以标记向小鼠外侧膝状体核(LGN)中的单个主细胞提供输入的视网膜神经节细胞。我们确定了单个LGN细胞的三种感觉整合模式。第一种模式是,主要来自同一只眼睛的1 - 5个大多为同一类型的神经节细胞汇聚,这表明是一种中继模式。第二种模式是,来自同一只眼睛的6 - 36个不同类型的神经节细胞汇聚,这揭示了一种组合模式。第三种模式是,多达91个神经节细胞从双眼汇聚,揭示了一种双眼组合模式,其中功能专门化的同侧输入与广泛分布的对侧输入相结合。因此,LGN采用了至少三种视觉输入整合模式,每种模式都表现出不同程度的专门化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/ae0f38921688/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/0790f898bd4a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/cdc34f68620e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/fe550ca0da0f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/ae0f38921688/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/0790f898bd4a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/cdc34f68620e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/fe550ca0da0f/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/5330803/ae0f38921688/gr4.jpg

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