Dual-color imaging of lipid droplets and lysosomes with triphenylamine-phenyl silicon phthalocyanine nanoprobes for enhanced photodynamic therapy
文献类型： 外文期刊
作者： Chen, Xiuqin 1 ; Dong, Shiqing 2 ; Chen, Jianling 2 ; Ye, Qiuhao 1 ; Cao, Sitong 1 ; Wang, Kun 2 ; Peng, Yiru 1 ;
作者机构： 1.Fujian Normal Univ, Coll Chem & Mat, Fujian Prov Key Lab Adv Mat Oriented Chem Engn, Fujian Prov Key Lab Polymer Mat, Fuzhou 350007, Peoples R China
2.Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Fujian Prov Key Lab Photon Technol, Minist Educ, Fuzhou 350007, Peoples R China
3.Fujian Acad Agr Sci, Inst Plant Protect, Fuzhou 350003, Peoples R China
4.Henan Normal Univ, Sch Phys, Engn Lab Optoelect Technol & Adv Mfg, Xinxiang 453007, Peoples R China
关键词： Lipid nanoparticles; Dual-color probe; Lysosomes; Lipid drops; Photodynamic therapy; Phthalocyanine; Lipid nanoparticles; Dual-color probe; Lysosomes; Lipid drops; Photodynamic therapy; Phthalocyanine
期刊名称：JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY （ 影响因子：3.7； 五年影响因子：5.0 ）
ISSN： 1011-1344
年卷期： 2025 年 268 卷
页码：
收录情况： SCI
摘要： Lipid droplets (LDs), vital in cancer cell metabolism, are prevalent in malignant tumors. Elucidating their interaction with lysosomes is essential for understanding their metabolic functions. However, simultaneous dualcolor imaging and photodynamic function targeting both LDs and lysosomes using fluorescent probes remain unexplored. Our study fills this gap with DSPE@TPA-SiPc, a biocompatible nanoparticle that penetrates cells and targets these organelles. Using two-photon imaging, we monitored DSPE@TPA-SiPc in breast cancer cells, noting its plasma membrane dissociation and rapid transport to lysosomes and LDs. DSPE@TPA-SiPc uniquely labeled LDs with blue fluorescence and lysosomes with red, responding to intracellular polarity. Additionally, DSPE@TPA-SiPc induced reactive oxygen species (ROS) in cells, showing enhanced phototoxicity against MDAMB-231 cells with larger LDs than MCF-7 cells. This research introduces a novel dual-labeled probe for organelle imaging and a promising strategy for targeted cancer therapy.
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