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YAO Chunlu, ZHANG Weijie, ZHANG Yunlong, et al. Progress of single-cell protein imaging methods[J]. J China Pharm Univ, 2024, 55(2): 147 − 157. DOI: 10.11665/j.issn.1000-5048.2024010205
Citation: YAO Chunlu, ZHANG Weijie, ZHANG Yunlong, et al. Progress of single-cell protein imaging methods[J]. J China Pharm Univ, 2024, 55(2): 147 − 157. DOI: 10.11665/j.issn.1000-5048.2024010205
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Progress of single-cell protein imaging methods

  • Key Laboratory of Drug Quality Control and Pharmacovigilance of Ministry of Education, China Pharmaceutical University, Nanjing 210009, China

Funds: This study was supported by the National Natural Science Foundation Project (No. 82173780); the Jiangsu Province Key R&D Program Social Development General Project (No. BE2023843); the Key Laboratory of Drug Quality and Safety Early Warning of the Ministry of Education (No. DQCP20/21MS04); Jiangsu Province Graduate Research and Practice Innovation Program (No. KYCX23-0854); and the Achievements of the College Student Innovation and Entrepreneurship Training Program Project (No. 2023103161187)
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  • Received Date: January 01, 2024
    Graphical Abstract
    • Abstract

  • The differential expression and subcellular localization of single-cell proteins are closely related to the physiological state and pathological mechanisms of the body. The development of single-cell protein in situ imaging methods provides powerful tools for spatial single-cell proteomics research and single-cell protein profiling. This article summarizes the single-cell protein imaging methods developed in recent years, including the circulating immunofluorescence imaging methods based on ordered multi-round antibody incubation, mass spectrometry imaging based on metal element labeled antibodies, fluorescence imaging based on DNA-barcoded antibody, gene encoded fluorescence protein imaging and spectral imaging based on Raman spectroscopy or X-ray spectroscopy, with brief explanation of the imaging principles of these methods. It focuses on the multiple performance, imaging resolution and signal amplification performance of these methods, and analyzes their application characteristics in practical scientific research and clinical work, in the hope of providing some reference for the development of more revolutionary single-cell imaging methods, and promoting the development of biomedical and precision medicine.

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    • References (61)
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