Volume 13 Issue 7
Jul.  2023
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Article Navigation >  Journal of Pharmaceutical Analysis  > 2023  >  13(7): 694-710
Yijia Fangma, Mengting Liu, Jie Liao, Zhong Chen, Yanrong Zheng. Dissecting the brain with spatially resolved multi-omics[J]. Journal of Pharmaceutical Analysis, 2023, 13(7): 694-710. doi: 10.1016/j.jpha.2023.04.003
Citation: Yijia Fangma, Mengting Liu, Jie Liao, Zhong Chen, Yanrong Zheng. Dissecting the brain with spatially resolved multi-omics[J]. Journal of Pharmaceutical Analysis, 2023, 13(7): 694-710. doi: 10.1016/j.jpha.2023.04.003
shu

Dissecting the brain with spatially resolved multi-omics

doi: 10.1016/j.jpha.2023.04.003

  • a. Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China;

  • b. Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China

Funds:

This work was supported by the National Natural Science Foundation of China (Grant Nos.: U21A20418, 82003727, and 82273903), and Zhejiang Provincial Natural Science Foundation, China (Grant No.: LQ21H310002).

  • Received Date: Oct. 31, 2022
  • Accepted Date: Apr. 06, 2023
  • Rev Recd Date: Apr. 04, 2023
  • Publish Date: Apr. 10, 2023
    Abstract
  • 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.
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