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DOI 10.1002/elps.201600249

Медицинская библиотека · Electrophoresis · 2016

Capillary electrophoresis method to determine siRNA complexation with cationic liposomes.

Furst Tania, Bettonville Virginie, Farcas Elena, Frere Antoine, Lechanteur Anna, Evrard Brigitte, Fillet Marianne, Piel Géraldine, Servais Anne-Catherine

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

Small interfering RNA (siRNA) inducing gene silencing has great potential to treat many human diseases. To ensure effective siRNA delivery, it must be complexed with an appropriate vector, generally nanoparticles. The nanoparticulate complex requires an optimal physiochemical characterization and the complexation efficiency has to be precisely determined. The methods usually used to measure complexation in gel electrophoresis and RiboGreen® fluorescence-based assay. However, those approaches are not automated and present some drawbacks such as the low throughput and the use of carcinogenic reagents. The aim of this study is to develop a new simple and fast method to accurately quantify the complexation efficiency. In this study, capillary electrophoresis (CE) was used to determine the siRNA complexation with cationic liposomes. The short-end injection mode applied enabled siRNA detection in less than 5 min. Moreover, the CE technique offers many advantages compared with the other classical methods. It is automated, does not require sample preparation and expensive reagents. Moreover, no mutagenic risk is associated with the CE approach since no carcinogenic product is used. Finally, this methodology can also be extended for the characterization of other types of nanoparticles encapsulating siRNA, such as cationic polymeric nanoparticles.

Для цитирования: Furst Tania, Bettonville Virginie, Farcas Elena, Frere Antoine, Lechanteur Anna, Evrard Brigitte, Fillet Marianne, Piel Géraldine, Servais Anne-Catherine. Capillary electrophoresis method to determine siRNA complexation with cationic liposomes.. Electrophoresis. 2016. DOI: 10.1002/elps.201600249.

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