Quantification of Loading and Laser-Assisted Release of RNA from Single Gold Nanoparticles.
Christoffer Dam FlorentsenAnn-Katrine Vransø WestHelena Maria D DanielsenSzabolcs SemseyPoul Martin BendixLene Broeng OddershedePublished in: Langmuir : the ACS journal of surfaces and colloids (2018)
Novel RNA-based technologies provide an avenue of possibilities to control the regulation of gene expression in cells. To realize the full potential of small interfering RNA (siRNA)-based therapy, efficient delivery vehicles and novel strategies for triggering release from carrier vehicles have to be developed. Gold nanoparticles (AuNPs) with sizes of ∼50-150 nm have the ability to accumulate in tumor tissue and can be transported across the membrane by endocytosis. Therefore, a laser-controlled oligonucleotide release from such particles is of particular interest. Here, we quantify the loading of specifically attached microRNA oligonucleotides (miRNA) onto single gold nanoparticles with diameters of 80, 100, 150, and 200 nm. We show that AuNPs have a curvature-dependent density of miRNA loading: the higher the curvature, the higher the loading density. Moreover, we demonstrate how one sensing strand of an RNA duplex can be dehybridized and hence released from the AuNP by heating the AuNP by irradiation with a near-infrared (NIR) laser. Laser-induced release is also demonstrated inside living cells. Together, these findings show that plasmonic nanoparticles with high curvatures are ideal carriers of oligonucleotides into cells, and their cargo can be released in a controlled manner by a thermoplasmonic mechanism. Importantly, this remotely controlled release strategy can be applied to any cargo attached to a plasmonic nanocarrier, on either the single particle or ensemble level.
Keyphrases
- gold nanoparticles
- living cells
- induced apoptosis
- gene expression
- nucleic acid
- fluorescent probe
- photodynamic therapy
- single molecule
- cell cycle arrest
- reduced graphene oxide
- endoplasmic reticulum stress
- drug delivery
- risk assessment
- machine learning
- high resolution
- radiation therapy
- mass spectrometry
- mesenchymal stem cells
- hyaluronic acid
- energy transfer