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Cited by 280

The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.

The Importance of Apparent pKa in the Development of Nanoparticles Encapsulating siRNA and mRNA

Open access
Patel, Pratikkumar, Ibrahim, Nurudeen Mohammed, Cheng, Kun·2021·Trends in Pharmacological Sciences

Abstract

Polymer and lipid nanoparticles have been extensively used as carriers to address the biological barriers encountered in siRNA and mRNA delivery. In this review, we summarize the critical role of nanoparticle’s charges and ionizability in complexing RNAs, binding biological components, escaping from the endosome, and releasing RNAs to the cytoplasm. We highlight the significant impact of the apparent pKa of nanoparticles on the efficacy and toxicity of the nanoparticles and the importance of optimizing pKa in the development of lead formulations for RNAs. Also, we discuss the feasibility of fine-tuning of pKa in nanoparticles and the applications of using this approach in the optimization of delivery systems for RNAs.

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Crossref · 10.1016/j.tips.2021.03.002

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Metadata

Authors
Patel, P., Ibrahim, N. M., & Cheng, K.
Venue
Trends in Pharmacological Sciences
Publisher
Elsevier BV
Published
2021-06
Volume
42
Issue
6
Pages
448-460
ISSN
0165-6147 (ISSN-L)
OpenAlex
W3153698244
Cited by
280
References
86
FWCI
2.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Importance of Apparent pKa in the Development of Nanoparticles Encapsulating siRNA and mRNA. https://app.cochat.ai/papers/10.1016/j.tips.2021.03.002
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Patel, P., Ibrahim, N. M., & Cheng, K. (2021). The Importance of Apparent pKa in the Development of Nanoparticles Encapsulating siRNA and mRNA. Trends in Pharmacological Sciences. https://doi.org/10.1016/j.tips.2021.03.002

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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.