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Physicochemical and Biological Characterization of Targeted, Nucleic Acid-Containing Nanoparticles
Open accessAbstract
Nucleic acid-based therapeutics have the potential to provide potent and highly specific treatments for a variety of human ailments. However, systemic delivery continues to be a significant hurdle to success. Multifunctional nanoparticles are being investigated as systemic, nonviral delivery systems, and here, we describe the physicochemical and biological characterization of cyclodextrin-containing polycations (CDP) and their nanoparticles formed with nucleic acids including plasmid DNA (pDNA) and small interfering RNA (siRNA). These polycation/nucleic acid complexes can be tuned by formulation conditions to yield particles with sizes ranging from 60 to 150 nm, zeta potentials from 10 to 30 mV, and molecular weights from approximately 7 x 107 to 1 x 109 g mol-1 as determined by light scattering techniques. Inclusion complexes formed between adamantane (AD)-containing molecules and the beta-cyclodextrin molecules enable the modular attachment of poly(ethylene glycol) (AD-PEG) conjugates for steric stabilization and targeting ligands (AD-PEG-transferrin) for cell-specific targeting. A 70 nm particle can contain approximately 10 000 CDP polymer chains, approximately 2000 siRNA molecules, approximately 4000 AD-PEG5000 molecules, and approximately 100 AD-PEG5000-Tf molecules; this represents a significant payload of siRNA and a large ratio of siRNA to targeting ligand (20:1). The particles protect the nucleic acid payload from nuclease degradation, do not aggregate at physiological salt concentrations, and cause minimal erythrocyte aggregation and complement fixation at the concentrations typically used for in vivo application. Uptake of the nucleic acid-containing particles by HeLa cells is measured by flow cytometry and visualized by confocal microscopy. Competitive uptake experiments show that the transferrin-targeted particles display enhanced affinity for the transferrin receptor through avidity effects (multiligand binding). Functional efficacy of the delivered pDNA and siRNA is demonstrated through luciferase reporter protein expression and knockdown, respectively. The analysis of the CDP delivery vehicle provides insights that can be applied to the design of targeted nucleic acid delivery vehicles in general.
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Cites
Therapeutic silencing of an endogenous gene by systemic administration of modified siRNAs
Soutschek, J., Akinc, A., Bramlage, B., Charisse, K., Constien, R., Donoghue, M., Elbashir, S., Geick, A., Hadwiger, P., Harborth, J., et al. (2004) · Nature · doi:10.1038/nature03121 · Cited by 2,183
RNAi-mediated gene silencing in non-human primates
Zimmermann, T. S., Lee, A. C. H., Akinc, A., Bramlage, B., Bumcrot, D., Fedoruk, M. N., Harborth, J., Heyes, J. A., Jeffs, L. B., John, M., et al. (2006) · Nature · doi:10.1038/nature04688 · Cited by 1,357
Ogris, M., Brunner, S., Schüller, S., Kircheis, R., & Wagner, E. (1999) · Gene Therapy · doi:10.1038/sj.gt.3300900 · Cited by 1,178
Potent and persistent in vivo anti-HBV activity of chemically modified siRNAs
Morrissey, D. V., Lockridge, J. A., Shaw, L., Blanchard, K., Jensen, K., Breen, W., Hartsough, K., Machemer, L., Radka, S., Jadhav, V., et al. (2005) · Nature Biotechnology · doi:10.1038/nbt1122 · Cited by 1,168
Antibody mediated in vivo delivery of small interfering RNAs via cell-surface receptors
Song, E., Zhu, P., Lee, S.-K., Chowdhury, D., Kussman, S., Dykxhoorn, D. M., Feng, Y., Palliser, D., Weiner, D. B., Shankar, P., et al. (2005) · Nature Biotechnology · doi:10.1038/nbt1101 · Cited by 1,021
Tumor Vascular Permeability, Accumulation, and Penetration of Macromolecular Drug Carriers
Dreher, M. R., Liu, W., Michelich, C. R., Dewhirst, M. W., Yuan, F., & Chilkoti, A. (2006) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djj070 · Cited by 920
Mishra, S., Webster, P., & Davis, M. E. (2004) · European Journal of Cell Biology · doi:10.1078/0171-9335-00363 · Cited by 730
Self-citationPlank, C., Mechtler, K., Szoka, F. C., & Wagner, E. (1996) · Human Gene Therapy · doi:10.1089/hum.1996.7.12-1437 · Cited by 583
In vivo activity of nuclease-resistant siRNAs
LAYZER, J. M., MCCAFFREY, A. P., TANNER, A. K., HUANG, Z., KAY, M. A., & SULLENGER, B. A. (2004) · RNA · doi:10.1261/rna.5239604 · Cited by 580
Hu-Lieskovan, S., Heidel, J. D., Bartlett, D. W., Davis, M. E., & Triche, T. J. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-0565 · Cited by 567
Self-citationVenturoli, D., & Rippe, B. (2005) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00171.2004 · Cited by 461
Chonn, A., Cullis, P. R., & Devine, D. V. (1991) · The Journal of Immunology · doi:10.4049/jimmunol.146.12.4234 · Cited by 367
Transferrin-Containing, Cyclodextrin Polymer-Based Particles for Tumor-Targeted Gene Delivery
Bellocq, N. C., Pun, S. H., Jensen, G. S., & Davis, M. E. (2003) · Bioconjugate Chemistry · doi:10.1021/bc034125f · Cited by 350
Self-citationThe silent treatment: siRNAs as small molecule drugs
Dykxhoorn, D. M., Palliser, D., & Lieberman, J. (2006) · Gene Therapy · doi:10.1038/sj.gt.3302703 · Cited by 324
Activity of stabilized short interfering RNA in a mouse model of hepatitis B virus replication†
Morrissey, D. V., Blanchard, K., Shaw, L., Jensen, K., Lockridge, J. A., Dickinson, B., McSwiggen, J. A., Vargeese, C., Bowman, K., Shaffer, C. S., et al. (2005) · Hepatology · doi:10.1002/hep.20702 · Cited by 290
Rensen, P. C. N., Sliedregt, L. A. J. M., Ferns, M., Kieviet, E., van Rossenberg, S. M. W., van Leeuwen, S. H., van Berkel, T. J. C., & Biessen, E. A. L. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m101786200 · Cited by 231
Development of a Nonviral Gene Delivery Vehicle for Systemic Application
Pun, S. H., & Davis, M. E. (2002) · Bioconjugate Chemistry · doi:10.1021/bc0155768 · Cited by 223
Self-citationPun, S. H., Tack, F., Bellocq, N. C., Cheng, J., Grubbs, B. H., Jensen, G. S., Davis, M. E., Brewster, M., Janicot, M., Janssens, B., et al. (2004) · Cancer Biology & Therapy · doi:10.4161/cbt.3.7.918 · Cited by 201
Self-citationDavis, M. E., Pun, S., Bellocq, N. C., Reineke, T. M., Popielarski, S. R., Mishra, S., & Heidel, J. D. (2004) · Current Medicinal Chemistry · doi:10.2174/0929867043456179 · Cited by 145
Self-citationOsmotic Properties of Poly(Ethylene Glycols): Quantitative Features of Brush and Bulk Scaling Laws
Hansen, P. L., Cohen, J. A., Podgornik, R., & Parsegian, V. A. (2003) · Biophysical Journal · doi:10.1016/s0006-3495(03)74855-3 · Cited by 134
Mishra, S., Heidel, J. D., Webster, P. C., & Davis, M. E. (2006) · Journal of Controlled Release · doi:10.1016/j.jconrel.2006.06.018 · Cited by 115
Self-citationShir, A., Ogris, M., Wagner, E., & Levitzki, A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0030006 · Cited by 111
Avidity-Mediated Enhancement of In vivo Tumor Targeting by Single-Chain Fv Dimers
Adams, G. P., Tai, M.-S., McCartney, J. E., Marks, J. D., Stafford, W. F., Houston, L. L., Huston, J. S., & Weiner, L. M. (2006) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-05-2217 · Cited by 100
Targeting of Synthetic Gene Delivery Systems
Schätzlein, A. G. (2003) · BioMed Research International · doi:10.1155/s1110724303209116 · Cited by 75
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Nanoparticle therapeutics: an emerging treatment modality for cancer
Davis, M. E., Chen, Z., & Shin, D. M. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2614 · Cited by 4,233
Self-citationKamaly, N., Yameen, B., Wu, J., & Farokhzad, O. C. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00346 · Cited by 3,070
The Effect of Nanoparticle Size on In Vivo Pharmacokinetics and Cellular Interaction
Hoshyar, N., Gray, S., Han, H., & Bao, G. (2016) · Nanomedicine · doi:10.2217/nnm.16.5 · Cited by 1,990
Delivery materials for siRNA therapeutics
Kanasty, R., Dorkin, J. R., Vegas, A., & Anderson, D. (2013) · Nature Materials · doi:10.1038/nmat3765 · Cited by 1,800
Targeted polymeric therapeutic nanoparticles: design, development and clinical translation
Kamaly, N., Xiao, Z., Valencia, P. M., Radovic-Moreno, A. F., & Farokhzad, O. C. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15344k · Cited by 1,730
Metadata
- Authors
- Bartlett, D. W., & Davis, M. E.
- Venue
- Bioconjugate Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-02-28
- Volume
- 18
- Issue
- 2
- Pages
- 456-468
- ISSN
- 1043-1802 (ISSN-L)
- 1520-4812
- OpenAlex
- W1970238359
- Cited by
- 283
- References
- 24
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- green
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