Ya Dongshan, Zhang Yingmei, Cui Qi, Jiang Yanlin, Yang Jiaxin, Tian Ning, Xiang Wenjing, Lin Xiaohui, Li Qinghua, Liao Rujia
Laboratory of Neuroscience, Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, China.
Department of Neurology, Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, China.
Front Cell Dev Biol. 2023 Mar 3;11:1142923. doi: 10.3389/fcell.2023.1142923. eCollection 2023.
Spatial transcriptome technology acquires gene expression profiles while retaining spatial location information, it displays the gene expression properties of cells . Through the investigation of cell heterogeneity, microenvironment, function, and cellular interactions, spatial transcriptome technology can deeply explore the pathogenic mechanisms of cell-type-specific responses and spatial localization in neurological diseases. The present article overviews spatial transcriptome technologies based on microdissection, hybridization, sequencing, capture, and live cell labeling. Each technology is described along with its methods, detection throughput, spatial resolution, benefits, and drawbacks. Furthermore, their applications in neurodegenerative disease, neuropsychiatric illness, stroke and epilepsy are outlined. This information can be used to understand disease mechanisms, pick therapeutic targets, and establish biomarkers.
空间转录组技术在保留空间位置信息的同时获取基因表达谱，它展示了细胞的基因表达特性。通过对细胞异质性、微环境、功能和细胞间相互作用的研究，空间转录组技术可以深入探索神经疾病中细胞类型特异性反应和空间定位的致病机制。本文概述了基于显微切割、杂交、测序、捕获和活细胞标记的空间转录组技术。每种技术都介绍了其方法、检测通量、空间分辨率、优点和缺点。此外，还概述了它们在神经退行性疾病、神经精神疾病、中风和癫痫中的应用。这些信息可用于理解疾病机制、选择治疗靶点和建立生物标志物。
