Fangma Yijia, Liu Mengting, Liao Jie, Chen Zhong, Zheng Yanrong
Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
J Pharm Anal. 2023 Jul;13(7):694-710. doi: 10.1016/j.jpha.2023.04.003. Epub 2023 Apr 10.
Recent studies have highlighted spatially resolved multi-omics technologies, including spatial genomics, transcriptomics, proteomics, and metabolomics, as powerful tools to decipher the spatial heterogeneity of the brain. Here, we focus on two major approaches in spatial transcriptomics (next-generation sequencing-based technologies and image-based technologies), and mass spectrometry imaging technologies used in spatial proteomics and spatial metabolomics. Furthermore, we discuss their applications in neuroscience, including building the brain atlas, uncovering gene expression patterns of neurons for special behaviors, deciphering the molecular basis of neuronal communication, and providing a more comprehensive explanation of the molecular mechanisms underlying central nervous system disorders. However, further efforts are still needed toward the integrative application of multi-omics technologies, including the real-time spatial multi-omics analysis in living cells, the detailed gene profile in a whole-brain view, and the combination of functional verification.
最近的研究强调了空间分辨多组学技术，包括空间基因组学、转录组学、蛋白质组学和代谢组学，这些技术是解读大脑空间异质性的有力工具。在此，我们重点关注空间转录组学中的两种主要方法（基于下一代测序的技术和基于图像的技术），以及空间蛋白质组学和空间代谢组学中使用的质谱成像技术。此外，我们还讨论了它们在神经科学中的应用，包括构建脑图谱、揭示特殊行为神经元的基因表达模式、解读神经元通讯的分子基础，以及更全面地解释中枢神经系统疾病背后的分子机制。然而，在多组学技术的整合应用方面仍需进一步努力，包括活细胞中的实时空间多组学分析、全脑视角下的详细基因图谱以及功能验证的结合。
