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大鼠下丘脑和未定带的化学构筑学研究。——一个可下载的交互式空间数据库,包含五个可共同可视化的神经化学系统,并配有基于特征和网格的新型映射工具。

Chemoarchitectural studies of the rat hypothalamus and zona incerta. - A downloadable interactive spatial database of five co-visualizable neurochemical systems, with novel feature- and grid-based mapping tools.

作者信息

Navarro Vanessa I, Arnal Alexandro, Peru Eduardo, Balivada Sivasai, Toccoli Alejandro R, Sotelo Diana, Fuentes Olac, Khan Arshad M

机构信息

UTEP Systems Neuroscience Laboratory.

Department of Biological Sciences.

出版信息

bioRxiv. 2024 Oct 3:2024.10.02.616213. doi: 10.1101/2024.10.02.616213.

Abstract

The hypothalamus and zona incerta of the brown rat (), a model organism important for translational neuroscience research, contain diverse neuronal populations essential for survival, but how these populations are structurally organized as systems remains elusive. With the advent of novel gene-editing technologies, there has been a growing need for high-spatial-resolution maps of rat hypothalamic neurochemical cell types to aid in their functional interrogation by virus-directed cell type-specific gene manipulation or to validate their expression in transgenic lines. Here, we present a draft report describing , a chemoarchitecture database for the rat hypothalamus (HY) and zona incerta (ZI), which will eventually feature downloadable interactive maps featuring the census distributions of five immunoreactive neurochemical systems: (1) vasopressin (as detected using its gene co-product, copeptin); (2) neuronal nitric oxide synthase (EC 1.14.13.39); (3) hypocretin 1/orexin A; (4) melanin-concentrating hormone; and (5) alpha-melanocyte-stimulating hormone. These maps are formatted for the widely used (BM4.0) open-access rat brain atlas. Importantly, this dataset retains atlas stereotaxic coordinates that facilitate the precise targeting of the cell bodies and/or axonal fibers of these neurochemical systems, thereby potentially serving to streamline delivery of viral vectors for gene-directed manipulations. The maps will be presented together with novel open-access tools to visualize the data, including a new Python programming language-based workflow to quantify cell positions and fiber densities for BM4.0. The workflow produces "heat maps" of neurochemical distributions from multiple subjects: 1) that represent consensus distributions independent of underlying atlas boundary conditions, and 2) that provide distribution differences based on cytoarchitectonic boundaries. These multi-subject cartographic representations are produced in Python from exported atlas maps first generated in the Adobe Illustrator vector graphics environment, which are then reimported and placed directly into the atlas. The soon-to-be-released files can also be opened using the free vector graphics editor, Inkscape. We also introduce a refined grid-based coordinate system for this dataset, register it with previously published spatial data for the HY and ZI, and introduce (Frequencies Mapped with Reference to Stereotaxy), as a new adaptation of long-used ephemeris systems for grid-based annotation of experimental observations. This database, which includes all data described in greater detail in Navarro (2020) and Peru (2020), provides critical spatial targeting information for these neurochemical systems unavailable from mRNA-based maps and allows readers to place their own datasets in register with them. It also provides a space for the continued buildout of a community-driven atlas-based spatial model of rat hypothalamic chemoarchitecture, allowing experimental observations from multiple laboratories to be registered to a common spatial framework.

摘要

棕色大鼠的下丘脑和未定带()是转化神经科学研究中重要的模式生物,包含了生存所必需的多种神经元群体,但这些群体如何作为系统进行结构组织仍不清楚。随着新型基因编辑技术的出现,对大鼠下丘脑神经化学细胞类型的高空间分辨率图谱的需求日益增长,以通过病毒导向的细胞类型特异性基因操作辅助对其功能进行研究,或验证其在转基因系中的表达。在此,我们展示一份报告草案,描述了一个大鼠下丘脑(HY)和未定带(ZI)的化学结构数据库,该数据库最终将具备可下载的交互式图谱,展示五种免疫反应性神经化学系统的普查分布:(1)血管加压素(使用其基因共产物 copeptin 检测);(2)神经元型一氧化氮合酶(EC 1.14.13.39);(3)下丘脑泌素 1/食欲素 A;(4)黑色素浓缩激素;以及(5)α-黑素细胞刺激激素。这些图谱是为广泛使用的(BM4.0)开放获取大鼠脑图谱格式化的。重要的是,该数据集保留了图谱立体定位坐标,便于精确靶向这些神经化学系统的细胞体和/或轴突纤维,从而有可能有助于简化用于基因导向操作的病毒载体的递送。这些图谱将与用于可视化数据的新型开放获取工具一起展示,包括一种基于新的 Python 编程语言的工作流程,用于量化 BM4.0 的细胞位置和纤维密度。该工作流程生成来自多个受试者的神经化学分布“热图”:1)代表独立于基础图谱边界条件的共识分布,以及 2)基于细胞构筑边界提供分布差异。这些多受试者制图表示是在 Python 中从首先在 Adobe Illustrator 矢量图形环境中生成的导出图谱地图制作的,然后重新导入并直接放置到图谱中。即将发布的文件也可以使用免费矢量图形编辑器 Inkscape 打开。我们还为该数据集引入了一种改进的基于网格的坐标系,将其与先前发表的 HY 和 ZI 的空间数据进行注册,并引入(参考立体定位映射的频率),作为长期使用的星历系统的新改编,用于基于网格的实验观察注释。该数据库包括 Navarro(2020)和 Peru(2020)中更详细描述的所有数据,为这些神经化学系统提供了基于 mRNA 的图谱所没有的关键空间靶向信息,并允许读者将自己的数据集与它们对齐。它还为基于社区驱动的大鼠下丘脑化学结构图谱空间模型的持续构建提供了空间,允许将多个实验室的实验观察注册到一个共同的空间框架中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8eb/11908149/4c7b4a7bfb17/nihpp-2024.10.02.616213v1-f0001.jpg

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