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Cited by 233

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Controllable Self-Assembly of Nanoparticles for Specific Delivery of Multiple Therapeutic Molecules to Cancer Cells Using RNA Nanotechnology

Open access
Khaled, Annette, Guo, Songchuan, Li, Feng, Guo, Peixuan·2005·Nano Letters

Abstract

By utilizing RNA nanotechnology, we engineered both therapeutic siRNA and a receptor-binding RNA aptamer into individual pRNAs of phi29's motor. The RNA building block harboring siRNA or other therapeutic molecules was fabricated subsequently into a trimer through the interaction of engineered right and left interlocking RNA loops. The incubation of the protein-free nanoscale particles containing the receptor-binding aptamer or other ligands resulted in the binding and co-entry of the trivalent therapeutic particles into cells, subsequently modulating the apoptosis of cancer cells and leukemia model lymphocytes in cell culture and animal trials. The use of such antigenicity-free 20-40 nm particles holds promise for the repeated long-term treatment of chronic diseases.

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Metadata

Authors
Khaled, A., Guo, S., Li, F., & Guo, P.
Venue
Nano Letters
Published
2005-09-01
Volume
5
Issue
9
Pages
1797-1808
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2136991395
Cited by
233
References
1
FWCI
4.03
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Controllable Self-Assembly of Nanoparticles for Specific Delivery of Multiple Therapeutic Molecules to Cancer Cells Using RNA Nanotechnology. https://app.cochat.ai/papers/10.1021/nl051264s
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Khaled, A., Guo, S., Li, F., & Guo, P. (2005). Controllable Self-Assembly of Nanoparticles for Specific Delivery of Multiple Therapeutic Molecules to Cancer Cells Using RNA Nanotechnology. Nano Letters. https://doi.org/10.1021/nl051264s

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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.