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用稳定的生物胞素衍生的神经影像学示踪剂改善神经元束示踪。

Improved neuronal tract tracing with stable biocytin-derived neuroimaging agents.

机构信息

Department for Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, Tübingen 72076, Germany.

出版信息

ACS Chem Neurosci. 2010 Feb 17;1(2):129-38. doi: 10.1021/cn900010d. Epub 2009 Oct 6.

Abstract

One of the main characteristics of brains is their profuse connectivity at different spatial scales. Understanding brain function evidently first requires a comprehensive description of neuronal anatomical connections. Not surprisingly a large number of histological markers were developed over the years that can be used for tracing mono- or polysynaptic connections. Biocytin is a classical neuroanatomical tracer commonly used to map brain connectivity. However, the endogenous degradation of the molecule by the action of biotinidase enzymes precludes its applicability in long-term experiments and limits the quality and completeness of the rendered connections. With the aim to improve the stability of this classical tracer, two novel biocytin-derived compounds were designed and synthesized. Here we present their greatly improved stability in biological tissue along with retained capacity to function as neuronal tracers. The experiments, 24 and 96 h postinjection, demonstrated that the newly synthesized molecules yielded more detailed and complete information about brain networks than that obtained with conventional biocytin. Preliminary results suggest that the reported molecular designs can be further diversified for use as multimodal tracers in combined MRI and optical or electron microscopy experiments.

摘要

大脑的主要特征之一是在不同的空间尺度上具有丰富的连接。显然,要理解大脑功能,首先需要全面描述神经元的解剖连接。多年来,人们开发了大量的组织学标记物,可用于追踪单突触或多突触连接。生物胞素是一种常用的经典神经解剖示踪剂,常用于绘制大脑连接图谱。然而,由于生物胞素酶的作用,该分子会发生内源性降解,这限制了其在长期实验中的应用,并降低了所呈现连接的质量和完整性。为了提高这种经典示踪剂的稳定性,设计并合成了两种新型生物胞素衍生化合物。本文介绍了它们在生物组织中的稳定性大大提高,同时仍保留作为神经元示踪剂的功能。在注射后 24 和 96 小时的实验中,新合成的分子比传统生物胞素提供了更详细和完整的关于大脑网络的信息。初步结果表明,所报道的分子设计可以进一步多样化,用于在结合 MRI 和光学或电子显微镜实验中的多模态示踪。

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