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灵长类平滑单层视网膜神经节细胞复杂感受野结构的突触起源。

Synaptic Origins of the Complex Receptive Field Structure in Primate Smooth Monostratified Retinal Ganglion Cells.

机构信息

Center for Visual Science, University of Rochester, Rochester, NewYork 14617.

Department of Biology, Saint Louis University, Saint Louis, Missouri 63103.

出版信息

eNeuro. 2024 Jan 30;11(1). doi: 10.1523/ENEURO.0280-23.2023. Print 2024 Jan.

DOI:10.1523/ENEURO.0280-23.2023
PMID:38290840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11078106/
Abstract

Considerable progress has been made in studying the receptive fields of the most common primate retinal ganglion cell (RGC) types, such as parasol RGCs. Much less is known about the rarer primate RGC types and the circuitry that gives rise to noncanonical receptive field structures. The goal of this study was to analyze synaptic inputs to smooth monostratified RGCs to determine the origins of their complex spatial receptive fields, which contain isolated regions of high sensitivity called "hotspots." Interestingly, smooth monostratified RGCs co-stratify with the well-studied parasol RGCs and are thus constrained to receiving input from bipolar and amacrine cells with processes sharing the same layer, raising the question of how their functional differences originate. Through 3D reconstructions of circuitry and synapses onto ON smooth monostratified and ON parasol RGCs from central macaque retina, we identified four distinct sampling strategies employed by smooth and parasol RGCs to extract diverse response properties from co-stratifying bipolar and amacrine cells. The two RGC types differed in the proportion of amacrine cell input, relative contributions of co-stratifying bipolar cell types, amount of synaptic input per bipolar cell, and spatial distribution of bipolar cell synapses. Our results indicate that the smooth RGC's complex receptive field structure arises through spatial asymmetries in excitatory bipolar cell input which formed several discrete clusters comparable with physiologically measured hotspots. Taken together, our results demonstrate how the striking differences between ON parasol and ON smooth monostratified RGCs arise from distinct strategies for sampling a common set of synaptic inputs.

摘要

在研究最常见的灵长类视网膜神经节细胞 (RGC) 类型的感受野方面已经取得了相当大的进展,例如伞形 RGC。然而,对于更罕见的灵长类 RGC 类型和产生非典型感受野结构的电路知之甚少。本研究的目的是分析平滑单层 RGC 的突触输入,以确定其复杂空间感受野的起源,这些感受野包含称为“热点”的孤立高敏区域。有趣的是,平滑单层 RGC 与研究充分的伞形 RGC 共层,因此只能接收具有共享同一层的过程的双极细胞和无长突细胞的输入,这引发了一个问题,即它们的功能差异是如何产生的。通过对来自恒河猴视网膜中央的 ON 型平滑单层和 ON 型伞形 RGC 的电路和突触进行 3D 重建,我们确定了平滑和伞形 RGC 用于从共层的双极细胞和无长突细胞中提取不同反应特性的四种不同的采样策略。两种 RGC 类型在无长突细胞输入的比例、共层双极细胞类型的相对贡献、每个双极细胞的突触输入量以及双极细胞突触的空间分布方面存在差异。我们的结果表明,平滑 RGC 的复杂感受野结构是通过兴奋性双极细胞输入的空间不对称产生的,这些输入形成了几个离散的簇,与生理测量的热点相当。总之,我们的结果表明,ON 型伞形和 ON 型平滑单层 RGC 之间的显著差异是如何通过对一组共同的突触输入进行不同的采样策略产生的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/293e757ce9bb/eneuro-11-ENEURO.0280-23.2023-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/6ff3c8781019/eneuro-11-ENEURO.0280-23.2023-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/7459ede7e8ce/eneuro-11-ENEURO.0280-23.2023-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/2f051a7ca8a8/eneuro-11-ENEURO.0280-23.2023-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/711b01ed4a0e/eneuro-11-ENEURO.0280-23.2023-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/9b9892868b1b/eneuro-11-ENEURO.0280-23.2023-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/524ef7fbd5f8/eneuro-11-ENEURO.0280-23.2023-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/94aa820e0ca3/eneuro-11-ENEURO.0280-23.2023-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/29f0848bbc0a/eneuro-11-ENEURO.0280-23.2023-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/e4c1c6ed867b/eneuro-11-ENEURO.0280-23.2023-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/293e757ce9bb/eneuro-11-ENEURO.0280-23.2023-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/6ff3c8781019/eneuro-11-ENEURO.0280-23.2023-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/7459ede7e8ce/eneuro-11-ENEURO.0280-23.2023-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/2f051a7ca8a8/eneuro-11-ENEURO.0280-23.2023-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/711b01ed4a0e/eneuro-11-ENEURO.0280-23.2023-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/9b9892868b1b/eneuro-11-ENEURO.0280-23.2023-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/524ef7fbd5f8/eneuro-11-ENEURO.0280-23.2023-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/94aa820e0ca3/eneuro-11-ENEURO.0280-23.2023-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/29f0848bbc0a/eneuro-11-ENEURO.0280-23.2023-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/e4c1c6ed867b/eneuro-11-ENEURO.0280-23.2023-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b891/11078106/293e757ce9bb/eneuro-11-ENEURO.0280-23.2023-g010.jpg

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