Laboratoire de Plasticité Structurale, Sorbonne Université, ICM Institut du Cerveau et de la Moelle Epinière, INSERM U1127, CNRS UMR7225, 75013 Paris, France; Center for Physics and Biology and Kavli Neural Systems Insittute, The Rockefeller University, 10065 New York, NY, USA; Kavli Institute for Fundamental Neuroscience and Anatomy Department, Sandler Neuroscience Building, Suite 514G, 675 Nelson Rising Lane, University of California, San Francisco, San Francisco, CA 94158, USA.
Laboratoire de Plasticité Structurale, Sorbonne Université, ICM Institut du Cerveau et de la Moelle Epinière, INSERM U1127, CNRS UMR7225, 75013 Paris, France.
Cell. 2020 Feb 20;180(4):780-795.e25. doi: 10.1016/j.cell.2020.01.028. Epub 2020 Feb 13.
The cerebral vasculature is a dense network of arteries, capillaries, and veins. Quantifying variations of the vascular organization across individuals, brain regions, or disease models is challenging. We used immunolabeling and tissue clearing to image the vascular network of adult mouse brains and developed a pipeline to segment terabyte-sized multichannel images from light sheet microscopy, enabling the construction, analysis, and visualization of vascular graphs composed of over 100 million vessel segments. We generated datasets from over 20 mouse brains, with labeled arteries, veins, and capillaries according to their anatomical regions. We characterized the organization of the vascular network across brain regions, highlighting local adaptations and functional correlates. We propose a classification of cortical regions based on the vascular topology. Finally, we analysed brain-wide rearrangements of the vasculature in animal models of congenital deafness and ischemic stroke, revealing that vascular plasticity and remodeling adopt diverging rules in different models.
脑血管系统是由动脉、毛细血管和静脉组成的密集网络。量化个体、脑区或疾病模型之间的血管组织变化具有挑战性。我们使用免疫标记和组织透明化技术来对成年小鼠大脑的血管网络进行成像，并开发了一种从光片显微镜分割 TB 级多通道图像的流水线，从而能够构建、分析和可视化由超过 1 亿个血管段组成的血管图。我们从超过 20 只小鼠大脑中生成了数据集，根据其解剖区域对动脉、静脉和毛细血管进行了标记。我们描述了血管网络在脑区之间的组织，突出了局部适应和功能相关性。我们提出了一种基于血管拓扑的皮质区域分类。最后，我们分析了先天性耳聋和缺血性中风动物模型中血管的全脑重排，揭示了血管可塑性和重塑在不同模型中采用不同的规则。
