Nishiyama Ryo, Hiramatsu Kotaro, Kawamura Shintaro, Dodo Kosuke, Furuya Kei, de Pablo Julia Gala, Takizawa Shigekazu, Min Wei, Sodeoka Mikiko, Goda Keisuke
Department of Chemistry, The University of Tokyo, Tokyo 113-0033, Japan.
Research Centre for Spectrochemistry, The University of Tokyo, Tokyo 113-0033, Japan.
PNAS Nexus. 2023 Jan 14;2(2):pgad001. doi: 10.1093/pnasnexus/pgad001. eCollection 2023 Feb.
Flow cytometry is an indispensable tool in biology and medicine for counting and analyzing cells in large heterogeneous populations. It identifies multiple characteristics of every single cell, typically via fluorescent probes that specifically bind to target molecules on the cell surface or within the cell. However, flow cytometry has a critical limitation: the color barrier. The number of chemical traits that can be simultaneously resolved is typically limited to several due to the spectral overlap between fluorescence signals from different fluorescent probes. Here, we present color-scalable flow cytometry based on coherent Raman flow cytometry with Raman tags to break the color barrier. This is made possible by combining a broadband Fourier-transform coherent anti-Stokes Raman scattering (FT-CARS) flow cytometer, resonance-enhanced cyanine-based Raman tags, and Raman-active dots (Rdots). Specifically, we synthesized 20 cyanine-based Raman tags whose Raman spectra are linearly independent in the fingerprint region (400 to 1,600 cm). For highly sensitive detection, we produced Rdots composed of 12 different Raman tags in polymer nanoparticles whose detection limit was as low as 12 nM for a short FT-CARS signal integration time of 420 µs. We performed multiplex flow cytometry of MCF-7 breast cancer cells stained by 12 different Rdots with a high classification accuracy of 98%. Moreover, we demonstrated a large-scale time-course analysis of endocytosis via the multiplex Raman flow cytometer. Our method can theoretically achieve flow cytometry of live cells with >140 colors based on a single excitation laser and a single detector without increasing instrument size, cost, or complexity.
流式细胞术是生物学和医学中用于对大量异质群体中的细胞进行计数和分析的不可或缺的工具。它通常通过与细胞表面或细胞内靶分子特异性结合的荧光探针来识别每个细胞的多种特征。然而,流式细胞术有一个关键限制:颜色障碍。由于来自不同荧光探针的荧光信号之间的光谱重叠,能够同时分辨的化学特征数量通常限制为几个。在此,我们提出了基于带有拉曼标签的相干拉曼流式细胞术的颜色可扩展流式细胞术,以打破颜色障碍。这通过结合宽带傅里叶变换相干反斯托克斯拉曼散射(FT-CARS)流式细胞仪、基于共振增强花菁的拉曼标签和拉曼活性点(Rdots)得以实现。具体而言,我们合成了20种基于花菁的拉曼标签,其拉曼光谱在指纹区域(400至1600厘米)内呈线性独立。为了实现高灵敏度检测,我们在聚合物纳米颗粒中制备了由12种不同拉曼标签组成的Rdots,对于420微秒的短FT-CARS信号积分时间,其检测限低至12纳摩尔。我们对用12种不同Rdots染色的MCF-7乳腺癌细胞进行了多重流式细胞术,分类准确率高达98%。此外,我们通过多重拉曼流式细胞仪展示了对内吞作用的大规模时程分析。我们的方法理论上可以基于单个激发激光和单个探测器实现对>140种颜色的活细胞流式细胞术,而无需增加仪器尺寸、成本或复杂性。