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Tunable Protease-Activatable Virus Nanonodes
- Source :
- ACS Nano
- Publication Year :
- 2014
- Publisher :
- American Chemical Society (ACS), 2014.
-
Abstract
- We explored the unique signal integration properties of the self-assembling 60-mer protein capsid of adeno-associated virus (AAV), a clinically proven human gene therapy vector, by engineering proteolytic regulation of virus–receptor interactions such that processing of the capsid by proteases is required for infection. We find the transfer function of our engineered protease-activatable viruses (PAVs), relating the degree of proteolysis (input) to PAV activity (output), is highly nonlinear, likely due to increased polyvalency. By exploiting this dynamic polyvalency, in combination with the self-assembly properties of the virus capsid, we show that mosaic PAVs can be constructed that operate under a digital AND gate regime, where two different protease inputs are required for virus activation. These results show viruses can be engineered as signal-integrating nanoscale nodes whose functional properties are regulated by multiple proteolytic signals with easily tunable and predictable response surfaces, a promising development toward advanced control of gene delivery.
- Subjects :
- Proteases
matrix metalloproteinase
Surface Properties
viruses
medicine.medical_treatment
Genetic Vectors
Green Fluorescent Proteins
Molecular Sequence Data
General Physics and Astronomy
adeno-associated virus
Gene delivery
Biology
Protein Engineering
medicine.disease_cause
Article
Virus
Capsid
medicine
Humans
Nanotechnology
General Materials Science
Amino Acid Sequence
Transgenes
gene delivery
logic gate
Adeno-associated virus
Protease
Gene Transfer Techniques
Temperature
General Engineering
Virus Activation
Genetic Therapy
Protein engineering
Dependovirus
Virology
mosaic capsid
Cell biology
Microscopy, Electron
HEK293 Cells
Nanomedicine
Viruses
Nanoparticles
Peptide Hydrolases
Plasmids
Subjects
Details
- ISSN :
- 1936086X and 19360851
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- ACS Nano
- Accession number :
- edsair.doi.dedup.....05ab6366f7de366db965129714a59293