Literature DB >> 24661553

Counterion-enhanced cyanine dye loading into lipid nano-droplets for single-particle tracking in zebrafish.

Vasyl N Kilin1, Halina Anton1, Nicolas Anton2, Emily Steed3, Julien Vermot3, Thierry F Vandamme2, Yves Mely1, Andrey S Klymchenko4.   

Abstract

Superior brightness of fluorescent nanoparticles places them far ahead of the classical fluorescent dyes in the field of biological imaging. However, for in vivo applications, inorganic nanoparticles, such as quantum dots, are limited due to the lack of biodegradability. Nano-emulsions encapsulating high concentrations of organic dyes are an attractive alternative, but classical fluorescent dyes are inconvenient due to their poor solubility in the oil and their tendency to form non-fluorescent aggregates. This problem was solved here for a cationic cyanine dye (DiI) by substituting its perchlorate counterion for a bulky and hydrophobic tetraphenylborate. This new dye salt, due to its exceptional oil solubility, could be loaded at 8 wt% concentration into nano-droplets of controlled size in the range 30-90 nm. Our 90 nm droplets, which contained >10,000 cyanine molecules, were >100-fold brighter than quantum dots. This extreme brightness allowed, for the first time, single-particle tracking in the blood flow of live zebrafish embryo, revealing both the slow and fast phases of the cardiac cycle. These nano-droplets showed minimal cytotoxicity in cell culture and in the zebrafish embryo. The concept of counterion-based dye loading provides a new effective route to ultra-bright lipid nanoparticles, which enables tracking single particles in live animals, a new dimension of in vivo imaging.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  counterion-assisted dye loading; fluorescence; lipid; nano-emulsion; nanoparticle; singleparticle tracking

Mesh:

Substances:

Year:  2014        PMID: 24661553     DOI: 10.1016/j.biomaterials.2014.02.053

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  13 in total

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