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Macromolecular Bioscience
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
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Probing Endosomal Escape Using pHlexi Nanoparticles

Authors: Kongkatigumjorn, N; Cortez-Jugo, C; Czuba, E; Wong, ASM; Hodgetts, RY; Johnston, APR; Such, GK;

Probing Endosomal Escape Using pHlexi Nanoparticles

Abstract

The effective escape of nanocarriers from endosomal compartments of the cell remains a major hurdle in nanomedicine. The endosomal escape of pH‐responsive, self‐assembled, dual component particles based on poly[2‐(diethylamino)ethyl methacrylate)(PDEAEMA) and poly(ethylene glycol)‐b‐poly[2‐(diethylamino)ethyl methacrylate) (PEG‐b‐PDEAEMA) has been recently reported. Herein, we report that polymer molecular weight (Mn) can be used to tune endosomal escape of nanoparticle delivery systems. PDEAEMA of Mn 7 kDa, 27 kDa, 56 kDa and 106 kDa was synthesized via reversible addition‐fragmentation chain transfer (RAFT) polymerization and co‐assembled with PEG‐b‐PDEAEMA (16 kDa) via nanoprecipitation. All particles had similar size, displayed pH‐responsive behaviour, and low toxicity regardless of molecular weight. Ovalbumin was loaded in the particles to demonstrate loading and release capabilities and as a marker to study internalization and endosomal escape. Association and endosomal escape was found to depend on molecular weight, with enhanced escape observed for high Mn PDEAEMA: 42% of cells with particle induced endosomal escape for 106 kDa nanoparticles, compared to minimal escape for 7 kDa particles. The results show that a simple variation in molecular weight can enhance the endosomal escape of polymeric carriers, and thus improve their effectiveness for intracellular delivery of therapeutics. image

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Australia
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Keywords

Cell Survival, Ovalbumin, Cell Count, 3T3 Cells, Endosomes, Hydrogen-Ion Concentration, 540, Fluoresceins, Endocytosis, Molecular Weight, Mice, Nylons, Animals, Methacrylates, Nanoparticles, Particle Size

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
bronze