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Discovering hematoma-stimulated circuits for secondary brain injury after intraventricular hemorrhage by spatial transcriptome analysis

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机构: [1]College of Computer Science, Sichuan University, Chengdu, China. [2]Innovation Center of Nursing Research, West China Hospital, Sichuan University, Chengdu, China. [3]Chinese Academy of Sciences (CAS) Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China. [4]Department of Neurosurgery and State Key Laboratory of Trauma, Burn and Combined Injury, Southwest Hospital, Army Medical University, Chongqing, China. [5]Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. [6]West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China. [7]Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
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Central nervous system (CNS) diseases, such as neurodegenerative disorders and brain diseases caused by acute injuries, are important, yet challenging to study due to disease lesion locations and other complexities.Utilizing the powerful method of spatial transcriptome analysis together with novel algorithms we developed for the study, we report here for the first time a 3D trajectory map of gene expression changes in the brain following acute neural injury using a mouse model of intraventricular hemorrhage (IVH). IVH is a common and representative complication after various acute brain injuries with severe mortality and mobility implications.Our data identified three main 3D global pseudospace-time trajectory bundles that represent the main neural circuits from the lateral ventricle to the hippocampus and primary cortex affected by experimental IVH stimulation. Further analysis indicated a rapid response in the primary cortex, as well as a direct and integrated effect on the hippocampus after IVH stimulation.These results are informative for understanding the pathophysiological changes, including the spatial and temporal patterns of gene expression changes, in IVH patients after acute brain injury, strategizing more effective clinical management regimens, and developing novel bioinformatics strategies for the study of other CNS diseases. The algorithm strategies used in this study are searchable via a web service (www.combio-lezhang.online/3dstivh/home).Copyright © 2023 Zhang, Badai, Wang, Ru, Song, You, He, Huang, Feng, Chen, Zhao and Chen.

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出版当年[2023]版:
大类 | 2 区 医学
小类 | 2 区 免疫学
最新[2023]版:
大类 | 2 区 医学
小类 | 2 区 免疫学
第一作者:
第一作者机构: [1]College of Computer Science, Sichuan University, Chengdu, China. [2]Innovation Center of Nursing Research, West China Hospital, Sichuan University, Chengdu, China.
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通讯作者:
通讯机构: [1]College of Computer Science, Sichuan University, Chengdu, China. [3]Chinese Academy of Sciences (CAS) Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China. [4]Department of Neurosurgery and State Key Laboratory of Trauma, Burn and Combined Injury, Southwest Hospital, Army Medical University, Chongqing, China. [5]Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. [6]West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China. [7]Research Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
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