The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.
Lipid‐based nanotherapeutics for siRNA delivery
Open accessAbstract
Abstract.: RNA interference (RNAi) is a specific gene‐silencing mechanism triggered by small interfering RNA (siRNA). The application of RNAi in the clinic requires the development of safe and effective delivery systems. Inspired by progress with lipid‐based systems in drug delivery, efforts have been dedicated to the development of liposomal siRNA delivery systems. Many of the lipid‐based delivery vehicles self‐assemble with siRNA through electrostatic interactions with charged amines, generating multi‐lamellar lipoplexes with positively charged lipid bilayers separated from one another by sheets of negatively charged siRNA strands. Internalization of lipid‐based siRNA delivery systems into cells typically occurs through endocytosis; accordingly, delivery requires materials that can facilitate endosomal escape. The size of the carrier is important as carriers <100 nm in diameter have been reported to have higher accumulation levels in tumours, hepatocytes and inflamed tissue, whereas larger particles tend to be taken up by Kupffer cells or other components of the reticuloendothelial system (RES). To reduce RES uptake and increase circulation time, carriers have been modified on the surface with hydrophilic materials, such as polyethyleneglycol. Herein, we review the molecular and structural parameters of lipid‐based siRNA delivery systems.
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
Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429
Tumor vascular permeability and the EPR effect in macromolecular therapeutics: a review
Maeda, H., Wu, J., Sawa, T., Matsumura, Y., & Hori, K. (2000) · Journal of Controlled Release · doi:10.1016/s0168-3659(99)00248-5 · Cited by 6,565
Role for a bidentate ribonuclease in the initiation step of RNA interference
Bernstein, E., Caudy, A. A., Hammond, S. M., & Hannon, G. J. (2001) · Nature · doi:10.1038/35053110 · Cited by 4,892
Determining the Size and Shape Dependence of Gold Nanoparticle Uptake into Mammalian Cells
Chithrani, B. D., Ghazani, A. A., & Chan, W. C. W. (2006) · Nano Letters · doi:10.1021/nl052396o · Cited by 4,879
Knocking down barriers: advances in siRNA delivery
Whitehead, K. A., Langer, R., & Anderson, D. G. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2742 · Cited by 3,115
Self-citationSmith, S. B., Cui, Y., & Bustamante, C. (1996) · Science · doi:10.1126/science.271.5250.795 · Cited by 2,770
Zamore, P. D., Tuschl, T., Sharp, P. A., & Bartel, D. P. (2000) · Cell · doi:10.1016/s0092-8674(00)80620-0 · Cited by 2,676
Shape effects of filaments versus spherical particles in flow and drug delivery
Geng, Y., Dalhaimer, P., Cai, S., Tsai, R., Tewari, M., Minko, T., & Discher, D. E. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.70 · Cited by 2,565
Regulation of transport pathways in tumor vessels: Role of tumor type and microenvironment
Hobbs, S. K., Monsky, W. L., Yuan, F., Roberts, W. G., Griffith, L., Torchilin, V. P., & Jain, R. K. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.8.4607 · Cited by 2,438
Nonviral vectors for gene delivery
Mintzer, M. A., & Simanek, E. E. (2009) · Chemical Reviews · doi:10.1021/cr800409e · Cited by 2,366
Cited by
Advances in Biomaterials for Drug Delivery
Fenton, O. S., Olafson, K. N., Pillai, P. S., Mitchell, M. J., & Langer, R. (2018) · Advanced Materials · doi:10.1002/adma.201705328 · Cited by 855
Self-citationIntracellular Delivery by Membrane Disruption: Mechanisms, Strategies, and Concepts
Stewart, M. P., Langer, R., & Jensen, K. F. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00678 · Cited by 747
Self-citationAdvances in the delivery of RNA therapeutics: from concept to clinical reality
Kaczmarek, J. C., Kowalski, P. S., & Anderson, D. G. (2017) · Genome Medicine · doi:10.1186/s13073-017-0450-0 · Cited by 656
Self-citationConde, J., Oliva, N., Atilano, M., Song, H. S., & Artzi, N. (2016) · Nature Materials · doi:10.1038/nmat4497 · Cited by 283
Drug targeting to the diseased liver
Poelstra, K., Prakash, J., & Beljaars, L. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.02.011 · Cited by 172
Metadata
- Authors
- Schroeder, A., Levins, C. G., Cortez, C., Langer, R., & Anderson, D. G.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2009-12-11
- Volume
- 267
- Issue
- 1
- Pages
- 9-21
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W1511669342
- Cited by
- 447
- References
- 108
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- green
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: Lipid‐based nanotherapeutics for siRNA delivery. https://app.cochat.ai/papers/10.1111/j.1365-2796.2009.02189.x
- The paper
- Schroeder, A., Levins, C. G., Cortez, C., Langer, R., & Anderson, D. G. (2010). Lipid‐based nanotherapeutics for siRNA delivery. Journal of Internal Medicine. https://doi.org/10.1111/j.1365-2796.2009.02189.x
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.
