State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Adv Sci (Weinh). 2022 Apr;9(12):e2105932. doi: 10.1002/advs.202105932. Epub 2022 Feb 24.
Profiling protein expression at single-cell resolution is essential for fundamental biological research (such as cell differentiation and tumor microenvironmental examination) and clinical precision medicine where only a limited number of primary cells are permitted. With the recent advances in engineering, chemistry, and biology, single-cell protein analysis methods are developed rapidly, which enable high-throughput and multiplexed protein measurements in thousands of individual cells. In combination with single cell RNA sequencing and mass spectrometry, single-cell multi-omics analysis can simultaneously measure multiple modalities including mRNAs, proteins, and metabolites in single cells, and obtain a more comprehensive exploration of cellular signaling processes, such as DNA modifications, chromatin accessibility, protein abundance, and gene perturbation. Here, the recent progress and applications of single-cell protein analysis technologies in the last decade are summarized. Current limitations, challenges, and possible future directions in this field are also discussed.
单细胞分辨率下的蛋白质表达谱分析对于基础生物学研究(如细胞分化和肿瘤微环境检测)和临床精准医学至关重要,因为这些研究和应用通常只允许使用有限数量的原代细胞。随着工程学、化学和生物学的最新进展,单细胞蛋白质分析方法得到了快速发展,这些方法使数千个单个细胞中的高通量和多重蛋白质测量成为可能。与单细胞 RNA 测序和质谱相结合,单细胞多组学分析可以同时测量多个模式,包括单个细胞中的 mRNAs、蛋白质和代谢物,并更全面地探索细胞信号转导过程,如 DNA 修饰、染色质可及性、蛋白质丰度和基因扰动。本文总结了过去十年中单细胞蛋白质分析技术的最新进展和应用。此外,还讨论了该领域目前的局限性、挑战和可能的未来发展方向。