荧光
自体荧光
药品
线粒体
化学
细胞器
可视化
分布(数学)
生物物理学
药物发现
分子
计算生物学
生物化学
纳米技术
组合化学
生物
药理学
计算机科学
材料科学
数据挖掘
物理
有机化学
量子力学
数学分析
数学
作者
Yongchun Wei,Lingxiu Kong,Huimin Chen,Yuanyuan Liu,Yifei Xu,Han Wang,Guiqian Fang,Xintian Shao,Fei Liu,Yanfeng Wang,Qixin Chen
标识
DOI:10.1016/j.cej.2021.132134
摘要
In current practice, drug visualization strategies mainly include 3H-or 14C-modification, or dye-labeling steps. Compared to current drug labeling strategies, drug molecules with autofluorescence can achieve accurate visualization of the drug's subcellular distribution. To this end, we screened various compounds in the traditional Chinese medicine compound library and selected a natural, label-free, fluorescent drug molecule named magnoflorine (MF). MF has fluorescent properties and does not require external intervention by the current labeling strategies, thereby proving to be suitable for reporting its distribution in living cells using structured illumination microscopy (SIM). In addition, using SIM, we found that MF not only had a high quantum yield but could also be well localized to the mitochondria. More importantly, the binding target of MF in mitochondria, namely hypochlorite (ClO-), was also revealed for the first time at the nanoscale visualization level. Finally, we also found that MF can play a role in binding to the ClO- as a target during ferroptosis, hence indicating that MF is a possible intervention drug for this process. In conclusion, we have identified for the first time a new fluorescent molecule, MF, that allows visualizing accurate drug distribution in organelles without additional labeling strategies with SIM. Furthermore, we have discovered the binding target of MF, which is beneficial for understanding of regulatory mechanism of drugs in various diseases.
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