Promise of spatially resolved omics for tumor research

Yanhe Zhou; Xinyi Jiang; Xiangyi Wang; Jianpeng Huang; Tong Li; Hongtao Jin; Jiuming He

doi:10.1016/j.jpha.2023.07.003

Volume 13 Issue 8

Aug. 2023

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Article Navigation > Journal of Pharmaceutical Analysis > 2023 > 13(8): 851-861

Yanhe Zhou, Xinyi Jiang, Xiangyi Wang, Jianpeng Huang, Tong Li, Hongtao Jin, Jiuming He. Promise of spatially resolved omics for tumor research[J]. Journal of Pharmaceutical Analysis, 2023, 13(8): 851-861. doi: 10.1016/j.jpha.2023.07.003

Citation:

Yanhe Zhou, Xinyi Jiang, Xiangyi Wang, Jianpeng Huang, Tong Li, Hongtao Jin, Jiuming He. Promise of spatially resolved omics for tumor research[J]. Journal of Pharmaceutical Analysis, 2023, 13(8): 851-861. doi: 10.1016/j.jpha.2023.07.003

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Promise of spatially resolved omics for tumor research

doi: 10.1016/j.jpha.2023.07.003

a. State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China;
b. New Drug Safety Evaluation Center, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China;
c. NMPA Key Laboratory for Safety Research and Evaluation of Innovative Drug, Beijing, 10050, China

Funds:

This study was supported by the National Natural Science Foundation of China (Grant No.: 81974500) and the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences, China (Grant No.: 2022-I2M-2-001).

Received Date: Nov. 18, 2022
Rev Recd Date: Jul. 01, 2023

Abstract

Abstract

Tumors are spatially heterogeneous tissues that comprise numerous cell types with intricate structures. By interacting with the microenvironment, tumor cells undergo dynamic changes in gene expression and metabolism, resulting in spatiotemporal variations in their capacity for proliferation and metastasis. In recent years, the rapid development of histological techniques has enabled efficient and high-throughput biomolecule analysis. By preserving location information while obtaining a large number of gene and molecular data, spatially resolved metabolomics (SRM) and spatially resolved transcriptomics (SRT) approaches can offer new ideas and reliable tools for the in-depth study of tumors. This review provides a comprehensive introduction and summary of the fundamental principles and research methods used for SRM and SRT techniques, as well as a review of their applications in cancer-related fields.
- Tumor,
- Spatially resolved transcriptomics,
- Spatially resolved metabolomics

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References(133)

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