Tracking lipid droplet dynamics for the discrimination of cancer cells by a solvatochromic fluorescent probe
Tracking lipid droplet dynamics for the discrimination of cancer cells by a solvatochromic fluorescent probe
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DOI：
10.1016/j.snb.2021.129541
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发表时间：
2021-04
影响因子：
8.4
通讯作者：
L. Yang;Jianping Wang;Bianhua Liu;Guangmei Han;Hong Wang;Liang Yang;Jun Zhao;M. Han;
中科院分区：
文献类型：
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作者：
L. Yang;Jianping Wang;Bianhua Liu;Guangmei Han;Hong Wang;Liang Yang;Jun Zhao;M. Han;
高脂代谢是癌细胞区别于正常细胞的基本特征之一，因为癌细胞的快速增殖需要大量的能量。然而，作为细胞能量供应的重要细胞器，脂滴在癌细胞和正常细胞中的动力学特征差异尚不清楚。一个关键的困难是开发一种具有高信噪比的特异性荧光可调探针，用于通过跟踪脂滴的动态来快速准确地识别癌细胞。在这里，我们报告了一种溶剂化显色荧光探针，丹磺酰吗啉（DNS-M），具有高的LD特异性，以实现有效的区分癌细胞从正常细胞的视觉轮廓的LD动力学的特征差异。DNS-M探针的合成方法简单，一步反应即可完成，其Stokes位移大于200 nm，具有良好的光稳定性和LD靶向能力，重叠系数高达0.97。DNS-M具有显著的生物膜穿透性、LD特异性和光稳定性，可在活细胞和固定细胞中在1 min内快速区分癌细胞和正常细胞，并实时跟踪LD在癌细胞中的结合、解离和融合等动态行为。更重要的是，我们的探针首次成功地观察到癌细胞和正常细胞之间LD行为模式的显着差异。我们设想我们的探针将成为癌症诊断和更深入了解癌细胞中LD相关行为的快速且易于操作的工具。
High lipid metabolism is one of the fundamental characteristics of cancer cells different from normal cells due to lots of energy needed for the fast proliferation of cancer cells. As an important organelle to supply cellular energy, however, the difference of lipid droplets (LDs) in their dynamic features between cancer cells and normal cells remains unclear. A key difficulty is to develop a specific fluorescence-tunable probe with high signal-to-noise for rapidly and accurately identifying cancer cells via tracking lipid droplets’ dynamics. Here, we report a solvatochromic fluorescent probe, dansyl-morpholine (DNS-M), with high LDs-specificity to achieve the effective discrimination of cancer cells from normal cells by visually profiling the feature difference of LDs dynamics. Probe DNS-M is synthesized easily by one-step reaction, and possesses a large Stokes shift ∼200 nm, excellent photostablity and LDs-targeted capability with high overlap coefficient up to 0.97. Due to the remarkable biomembrance penetration, LDs-specificity and photostability, DNS-M has been applied to distinguish cancer cells from normal cells rapidly within 1 min in living cells and fixed cells, and real-time track dynamic behaviors of LDs in cancer cells, such as association, dissociation and fusion. More importantly, a significant difference in LDs behavior modes between cancer cells and normal cells is successfully visualized for the first time with our probe. We envision that our probe will become a rapid and easy-to-operate tool for cancer diagnosis and deeper understanding of LDs-related behaviors in cancer cells.