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Cited by 304

The DOI matches its Crossref record; 180 of the 180 references it cites were found in a registry or an index.

DNA hydrogel-based gene editing and drug delivery systems

Mo, Fangli, Jiang, Kai, Zhao, Di, Wang, Yuqi, Song, Jie, Tan, Weihong·2021·Advanced Drug Delivery Reviews

Abstract

Deoxyribonucleic acid (DNA) is a promising synthesizer for precisely constructing almost arbitrary geometry in two and three dimensions. Among various DNA-based soft materials, DNA hydrogels are comprised of hydrophilic polymeric networks of crosslinked DNA chains. For their properties of biocompatibility, porosity, sequence programmability and tunable multifunctionality, DNA hydrogels have been widely studied in bioanalysis and biomedicine. In this review, recent developments in DNA hydrogels and their applications in drug delivery systems are highlighted. First, physical and chemical crosslinking methods for constructing DNA hydrogels are introduced. Subsequently, responses of DNA hydrogels to nonbiological and biological stimuli are described. Finally, DNA hydrogel-based delivery platforms for different types of drugs are detailed. With the emergence of gene therapy, this review also gives future prospects for combining DNA hydrogels with the gene editing toolbox.

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Crossref · 10.1016/j.addr.2020.07.018

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Metadata

Authors
Mo, F., Jiang, K., Zhao, D., Wang, Y., Song, J., & Tan, W.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2021-01
Volume
168
Pages
79-98
ISSN
0169-409X (ISSN-L)
OpenAlex
W3044629128
Cited by
304
References
180
FWCI
3.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: DNA hydrogel-based gene editing and drug delivery systems. https://app.cochat.ai/papers/10.1016/j.addr.2020.07.018
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Mo, F., Jiang, K., Zhao, D., Wang, Y., Song, J., & Tan, W. (2021). DNA hydrogel-based gene editing and drug delivery systems. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2020.07.018

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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.