Chem. J. Chinese Universities ›› 2024, Vol. 45 ›› Issue (11): 20240389.doi: 10.7503/cjcu20240389

• Review • Previous Articles    

Advances in Single-cell Multi-omics Analysis Based on Mass Spectrometry

HUO Zhiyuan1,2, ZHOU Jinping3, MA Xiumin3(), ZHOU Yan1,2(), HUANG Lin1,2()   

  1. 1.Department of Clinical Laboratory
    2.Institue of Thoracic Oncology,Shanghai Chest Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200030,China
    3.Clinical Laboratory Center,Tumor Hospital Affiliated to Xinjiang Medical University,Urumqi 830011,China
  • Received:2024-08-15 Online:2024-11-10 Published:2024-09-11
  • Contact: MA Xiumin, ZHOU Yan, HUANG Lin E-mail:maxiumin1210@sohu.com;zhouyan@shchest.org;linhuang@shsmu.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(82372148);the Central Government Guides Local Science and Technology Development Fund Projects, China(ZYYD2024CG06)

Abstract:

With the rapid development of mass spectrometry technology in recent years, single-cell mass spectrometry has played an increasingly vital role in the field of life sciences. Mass spectrometry has been widely applied to detect the metabolome and proteome of cell populations. The multi-omics technology of single-cell mass spectrometry combines microscopic biology with cutting-edge mass spectrometry analysis, providing a powerful tool for in-depth study at the single-cell level and further clarifying the micro-level complexity of cells. Especially in biomedical applications, single-cell mass spectrometry multi-omics helps to build cell atlas, explore the molecular mechanisms of biological phenomena, and promote the development of precision medicine. Therefore, this article systematically summarizes and reviews the challenges and breakthroughs in the development of mass spectrometry-based single-cell metabolism, proteomics, and multi-omics technologies in recent years, and provides an outlook on its future development trends.

Key words: Single-cell, Mass spectrometry technology, Metabolomics, Proteomics, Multi-omics analysis

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