Institute of Drug Development & Chemical Biology, College of Pharmaceutical Science, Institute of Drug Development & Chemical Biology, Zhejiang University of Technology, Huzhou, Zhejiang 313200, People's Republic of China.
Academy of Chinese Medical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, People's Republic of China.
Anal Chem. 2022 Jun 28;94(25):8890-8898. doi: 10.1021/acs.analchem.2c00188. Epub 2022 Jun 15.
Identifying cell phenotypes is essential for understanding the function of biological macromolecules and molecular biology. We developed a noninvasive, label-free, single-cell Raman imaging analysis platform to distinguish between the cell phenotypes of the HeLa cell wild type (WT) and cyclin-dependent kinase 6 (CDK6) gene knockout (KO) type. Via large-scale Raman spectral and imaging analysis, two phenotypes of the HeLa cells were distinguished by their intrinsic biochemical profiles. A significant difference was found between the two cell lines: large lipid droplets formed in the knockout HeLa cells but were not observed in the WT cells, which was confirmed by Oil Red O staining. The band ratio of the Raman spectrum of saturated/unsaturated fatty acids was identified as the Raman spectral marker for HeLa cell WT or gene knockout type differentiation. The interaction between organelles involved in lipid metabolism was revealed by Raman imaging and Lorentz fitting, where the distribution intensity of the mitochondria and the endoplasmic reticulum membrane decreased. At the same time, lysosomes increased after the CDK6 gene knockout. The parameters obtained from Raman spectroscopy are based on hierarchical cluster analysis and one-way ANOVA, enabling highly accurate cell classification.
鉴定细胞表型对于理解生物大分子和分子生物学的功能至关重要。我们开发了一种非侵入性、无标记的单细胞拉曼成像分析平台,用于区分野生型(WT)和细胞周期蛋白依赖性激酶 6(CDK6)基因敲除(KO)型 HeLa 细胞的细胞表型。通过大规模拉曼光谱和成像分析,根据内在生化特征区分了两种 HeLa 细胞表型。在这两种细胞系之间发现了一个显著差异:在敲除的 HeLa 细胞中形成了大的脂滴,但在 WT 细胞中没有观察到,这通过油红 O 染色得到了证实。拉曼光谱中饱和/不饱和脂肪酸的带比被确定为区分 HeLa 细胞 WT 或基因敲除型的拉曼光谱标记。通过拉曼成像和洛伦兹拟合揭示了参与脂质代谢的细胞器之间的相互作用,其中线粒体和内质网膜的分布强度降低。同时,CDK6 基因敲除后溶酶体增加。拉曼光谱获得的参数基于层次聚类分析和单因素方差分析,能够实现高度准确的细胞分类。