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用于小鼠脑连接分析的连接组和化学连接组数据库。

The Connectome and Chemo-Connectome Databases for Mice Brain Connection Analysis.

作者信息

Wang Yang, Liu Zhixiang, Sun Da, Sun Leqiang, Cao Gang, Dai Jinxia

机构信息

State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.

College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.

出版信息

Front Neuroanat. 2022 Jun 9;16:886925. doi: 10.3389/fnana.2022.886925. eCollection 2022.

Abstract

The various brain functions rely on the intricate connection networks and certain molecular characteristics of neurons in the brain. However, the databases for the mouse brain connectome and chemo-connectome are still inadequate, hindering the brain circuital and functional analysis. Here, we created mice brain connectome and chemo-connectome databases based on mouse brain projection data of 295 non-overlapping brain areas and hybridization (ISH) data of 50 representative neurotransmission-related genes from the Allen Brain Institute. Based on this connectome and chemo-connectome databases, functional connection patterns and detailed chemo-connectome for monoaminergic nuclei were analyzed and visualized. These databases will aid in the comprehensive research of the mouse connectome and chemo-connectome in the whole brain and serve as a convenient resource for systematic analysis of the brain connection and function.

摘要

大脑的各种功能依赖于大脑中复杂的连接网络以及神经元的某些分子特征。然而,小鼠脑连接组和化学连接组的数据库仍然不够完善,这阻碍了对脑回路和功能的分析。在此,我们基于295个非重叠脑区的小鼠脑投射数据以及来自艾伦脑科学研究所的50个代表性神经传递相关基因的杂交(ISH)数据,创建了小鼠脑连接组和化学连接组数据库。基于此连接组和化学连接组数据库,对单胺能核团的功能连接模式和详细的化学连接组进行了分析和可视化。这些数据库将有助于对小鼠全脑连接组和化学连接组进行全面研究,并为系统分析脑连接和功能提供便利资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34f4/9218099/6ad332fb85c0/fnana-16-886925-g001.jpg

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