The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Non-Viral Nucleic Acid Delivery: Key Challenges and Future Directions
Abstract
Gene therapy holds the promise of correcting a genetic defect. It can be achieved with the introduction of a normal wild-type transgene into specific cells of the patient where the endogenous gene is underexpressing or by the introduction of a therapeutic agent, such as, antisense oligonucleotides (AON) or small interfering RNA (siRNA) to inhibit transcription and/or translation of an overexpressing endogenous gene or a cancer causing oncogene. Gene therapy has been utilized for vaccination and for the treatment of several diseases, such as, cancer, viral infections and dermatological diseases. However, there are many hurdles to overcome in developing effective gene-based therapeutics, including cellular barriers, enzymatic degradation and rapid clearance after administration. Successful transfer of nucleic acids (e.g. plasmid DNA, AON, siRNA, small hairpin RNA and micro RNA) into cells usually relies on the use of efficient carriers, commonly viral or non-viral vectors. Presently, viral vectors are more efficient than non-viral systems. However, immunogenicity, inflammatory reactions and problems associated with scale-up limit their clinical use. The ideal carriers for gene delivery should be safe and yet ensure that the DNA/RNA survives the extra- and intracellular environment and efficiently transfer to the appropriate cellular compartments. This review discusses some of the strategies that have been employed to overcome the barriers towards successful gene delivery.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
miR-122 regulation of lipid metabolism revealed by in vivo antisense targeting
Esau, C., Davis, S., Murray, S. F., Yu, X. X., Pandey, S. K., Pear, M., Watts, L., Booten, S. L., Graham, M., McKay, R., et al. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.01.005 · Cited by 2,082
Rational design of cationic lipids for siRNA delivery
Semple, S. C., Akinc, A., Chen, J., Sandhu, A. P., Mui, B. L., Cho, C. K., Sah, D. W. Y., Stebbing, D., Crosley, E. J., Yaworski, E., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1602 · Cited by 1,822 · cited 1×
“siRNA) [83,84].”
DNA vaccines: ready for prime time?
Kutzler, M. A., & Weiner, D. B. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2432 · Cited by 1,077
Virus treatment questioned after gene therapy death
Lehrman, S. (1999) · Nature · doi:10.1038/43977 · Cited by 576 · cited 2×
“The use of viral vectors for gene therapy can be associated with severe inflammation and immunological problems [11,12].”
BackgroundAn Antisense Oligonucleotide Primer
HOGREFE, R. I. (1999) · Antisense and Nucleic Acid Drug Development · doi:10.1089/oli.1.1999.9.351 · Cited by 48 · cited 1×
“RNase H induction) and on the extent of modulating gene expression [21,22].”
Background
Cited by
Kulkarni, J. A., Darjuan, M. M., Mercer, J. E., Chen, S., van der Meel, R., Thewalt, J. L., Tam, Y. Y. C., & Cullis, P. R. (2018) · ACS Nano · doi:10.1021/acsnano.8b01516 · Cited by 663
In Vivo Gene Delivery by Nonviral Vectors: Overcoming Hurdles?
Zhang, Y., Satterlee, A., & Huang, L. (2012) · Molecular Therapy · doi:10.1038/mt.2012.79 · Cited by 349
Policastro, L. L., Ibañez, I. L., Notcovich, C., Duran, H. A., & Podhajcer, O. L. (2013) · Antioxidants & Redox Signaling · doi:10.1089/ars.2011.4367 · Cited by 120
Dufès, C., Al Robaian, M., & Somani, S. (2013) · Therapeutic Delivery · doi:10.4155/tde.13.21 · Cited by 110
Metadata
- Authors
- Elsabahy, M., Nazarali, A., & Foldvari, M.
- Venue
- Current Drug Delivery
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2011-05-01
- Volume
- 8
- Issue
- 3
- Pages
- 235-244
- ISSN
- 1567-2018 (ISSN-L)
- OpenAlex
- W2097194070
- Cited by
- 199
- References
- 7
- FWCI
- 8.93
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Non-Viral Nucleic Acid Delivery: Key Challenges and Future Directions. https://app.cochat.ai/papers/10.2174/156720111795256174
- The paper
- Elsabahy, M., Nazarali, A., & Foldvari, M. (2011). Non-Viral Nucleic Acid Delivery: Key Challenges and Future Directions. Current Drug Delivery. https://doi.org/10.2174/156720111795256174
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.