Literature DB >> 31799834

De Novo-Designed Near-Infrared Nanoaggregates for Super-Resolution Monitoring of Lysosomes in Cells, in Whole Organoids, and in Vivo.

Hongbao Fang1, Shankun Yao1, Qixin Chen, Chunyan Liu, Yuqi Cai, Shanshan Geng1, Yang Bai1, Zhiqi Tian, Amanda L Zacharias, Takanori Takebe2, Yuncong Chen1, Zijian Guo1, Weijiang He1, Jiajie Diao.   

Abstract

As the cleaners of cells, lysosomes play an important role in circulating organic matter within cells, recovering damaged organelles, and removing waste via endocytosis. Because lysosome dysfunction is associated with various diseases-lysosomal storage diseases, inherited diseases, rheumatoid arthritis, and even shock-it is vital to monitor the movement of lysosomes in cells and in vivo. To that purpose, a method of optical imaging, super-resolution imaging technology (e.g., SIM and STORM), can overcome the limitations of traditional optical imaging and afford a range of possibilities for fluorescence imaging. However, the short wavelength excitation and easy photobleaching of super-resolution fluorescence probes somewhat problematize super-resolution imaging. As described herein, we designed a low-toxicity, photostable, near-infrared small molecule fluorescence probe HD-Br for use in the super-resolution imaging of lysosomes. The interaction of lysosomes and mitochondria was dynamically traced while using the probe's properties to label the lysosomes. Because the probe has the optimal near-infrared excitation and emission wavelengths, liver organoid 3D imaging and Caenorhabditis elegans imaging were also performed. Altogether, our findings indicate valuable approaches and techniques for super-resolution 3D and in vivo imaging.

Entities:  

Keywords:  3D organoids imaging; C. elegans imaging; lysosome-targeted; nanoaggregates; structured illumination microscopy

Mesh:

Substances:

Year:  2019        PMID: 31799834      PMCID: PMC7255917          DOI: 10.1021/acsnano.9b08011

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


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