Astakhova E A, Gubaeva A S, Naumova D A, Egorova A E, Maznina A A, Rybkina I G, Osmanov I M, Tabakov D V, Mityaeva O N, Volchkov P Yu
Federal Research Center for Original and Prospective Biomedical and Pharmaceutical Technologies, Baltiyskaya Street 8, 125315 Moscow, Russia.
Moscow Center for Advanced Studies, Kulakova Street 20, 123592 Moscow, Russia.
Int J Mol Sci. 2025 Jun 19;26(12):5911. doi: 10.3390/ijms26125911.
Flow cytometry is a powerful and widely used tool for the analysis of various cell populations, but its capabilities are severely limited by the need to apply correction of fluorescent signals from near or similar fluorochromes when analyzing multicolor panels. Spectral flow cytometry extends the capabilities of classical cytometry by reading the full fluorescence spectrum of fluorophores and their subsequent spectral separation. This significantly increases the number of markers analyzed in a single panel and thus allows for more in-depth studies of cell populations. In the age of big data analysis, this represents a serious advantage of spectral cytometry and can significantly increase its use in scientific and clinical practice. This review describes the principle of spectral cytometry, advantages and limitations of the method, and summarizes the newest deep immunophenotyping panels developed and validated for spectral cytometry.
流式细胞术是一种用于分析各种细胞群体的强大且广泛使用的工具,但其功能受到在分析多色样本时对来自相近或相似荧光染料的荧光信号进行校正需求的严重限制。光谱流式细胞术通过读取荧光团的完整荧光光谱及其后续的光谱分离来扩展经典流式细胞术的功能。这显著增加了在单个样本中分析的标志物数量,从而能够对细胞群体进行更深入的研究。在大数据分析时代,这代表了光谱流式细胞术的一个显著优势,并可显著增加其在科学和临床实践中的应用。本综述描述了光谱流式细胞术的原理、该方法的优缺点,并总结了为光谱流式细胞术开发和验证的最新深度免疫表型分析样本。