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Nanoparticles engineered to bind cellular motors for efficient delivery

Overview of attention for article published in Journal of Nanobiotechnology, March 2018
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Title
Nanoparticles engineered to bind cellular motors for efficient delivery
Published in
Journal of Nanobiotechnology, March 2018
DOI 10.1186/s12951-018-0354-1
Pubmed ID
Authors

Inmaculada Dalmau-Mena, Pablo del Pino, Beatriz Pelaz, Miguel Ángel Cuesta-Geijo, Inmaculada Galindo, María Moros, Jesús M. de la Fuente, Covadonga Alonso

Abstract

Dynein is a cytoskeletal molecular motor protein that transports cellular cargoes along microtubules. Biomimetic synthetic peptides designed to bind dynein have been shown to acquire dynamic properties such as cell accumulation and active intra- and inter-cellular motion through cell-to-cell contacts and projections to distant cells. On the basis of these properties dynein-binding peptides could be used to functionalize nanoparticles for drug delivery applications. Here, we show that gold nanoparticles modified with dynein-binding delivery sequences become mobile, powered by molecular motor proteins. Modified nanoparticles showed dynamic properties, such as travelling the cytosol, crossing intracellular barriers and shuttling the nuclear membrane. Furthermore, nanoparticles were transported from one cell to another through cell-to-cell contacts and quickly spread to distant cells through cell projections. The capacity of these motor-bound nanoparticles to spread to many cells and increasing cellular retention, thus avoiding losses and allowing lower dosage, could make them candidate carriers for drug delivery.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Researcher 5 14%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 3 8%
Professor 3 8%
Other 4 11%
Unknown 11 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 19%
Engineering 4 11%
Materials Science 4 11%
Biochemistry, Genetics and Molecular Biology 2 6%
Chemistry 2 6%
Other 6 17%
Unknown 11 31%