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正常猫视网膜中的氨基酸特征。

Amino acid signatures in the normal cat retina.

作者信息

Marc R E, Murry R F, Fisher S K, Linberg K A, Lewis G P, Kalloniatis M

机构信息

John Moran Eye Center, University of Utah, Salt Lake City 84132, USA.

出版信息

Invest Ophthalmol Vis Sci. 1998 Aug;39(9):1685-93.

PMID:9699558
Abstract

PURPOSE

To establish a nomogram of amino acid signatures in normal neurons, glia, and retinal pigment epithelium (RPE) of the cat retina, guided by the premise that micromolecular signatures reflect cellular identity and metabolic integrity. The long-range objective was to provide techniques to detect subtle aberrations in cellular metabolism engendered by model interventions such as focal retinal detachment.

METHODS

High-performance immunochemical mapping, image registration, and quantitative pattern recognition were combined to analyze the amino acid contents of virtually all cell types in serial 200-nm sections of normal cat retina.

RESULTS

The cellular cohorts of the cat retina formed 14 separable biochemical theme classes. The photoreceptor --> bipolar cell --> ganglion cell pathway was composed of six classes, each possessing a characteristic glutamate signature. Amacrine cells could be grouped into two glycine- and three gamma-aminobutyric acid (GABA)-dominated populations. Horizontal cells possessed a distinctive GABA-rich signature completely separate from that of amacrine cells. A stable taurine-glutamine signature defined Müller cells, and a broad-spectrum aspartate-glutamate-taurine-glutamine signature was present in the normal RPE.

CONCLUSIONS

In this study, basic micromolecular signatures were established for cat retina, and multiple metabolic subtypes were identified for each neurochemical class. It was shown that virtually all neuronal space can be accounted for by cells bearing characteristic glutamate, GABA, or glycine signatures. The resultant signature matrix constitutes a nomogram for assessing cellular responses to experimental challenges in disease models.

摘要

目的

在微分子特征反映细胞特性和代谢完整性这一前提下,建立猫视网膜正常神经元、神经胶质细胞和视网膜色素上皮(RPE)中氨基酸特征的列线图。长期目标是提供检测由诸如局灶性视网膜脱离等模型干预引起的细胞代谢细微异常的技术。

方法

结合高性能免疫化学图谱分析、图像配准和定量模式识别,分析正常猫视网膜连续200纳米切片中几乎所有细胞类型的氨基酸含量。

结果

猫视网膜的细胞群体形成了14个可分离的生化主题类别。光感受器→双极细胞→神经节细胞通路由六个类别组成,每个类别都有独特的谷氨酸特征。无长突细胞可分为两个以甘氨酸为主和三个以γ-氨基丁酸(GABA)为主的群体。水平细胞具有与无长突细胞完全不同的独特的富含GABA的特征。稳定的牛磺酸-谷氨酰胺特征定义了米勒细胞,正常RPE中存在广谱的天冬氨酸-谷氨酸-牛磺酸-谷氨酰胺特征。

结论

在本研究中,建立了猫视网膜的基本微分子特征,并为每个神经化学类别鉴定了多种代谢亚型。结果表明,几乎所有神经元空间都可由具有特征性谷氨酸、GABA或甘氨酸特征的细胞来解释。由此产生的特征矩阵构成了一个列线图,用于评估疾病模型中细胞对实验挑战的反应。

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