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Bioinspired pH-Responsive Polymers for the Intracellular Delivery of Biomolecular Drugs

Murthy, Niren, Campbell, Jean, Fausto, Nelson, Hoffman, Allan S., Stayton, Patrick S.·2003·Bioconjugate Chemistry

Abstract

The biotechnology and pharmaceutical industries have developed a wide variety of potential therapeutics based on the molecules of biology: DNA, RNA, and proteins. While these therapeutics have tremendous potential, effectively formulating and delivering them have also been a widely recognized challenge. A variety of viruses and toxins have evolved multi-functional biomolecules to solve this problem by directing cellular uptake and enhancing biomolecular transport to the cytoplasm from the low pH endosomal compartment. In the study reported here, we have designed and synthesized bio-inspired, pH-responsive polymeric carriers, which we call "encrypted polymers", that mimic the multi-functional design of biology. These encrypted polymers target and direct cellular uptake, as well as enhance cytosolic delivery by disrupting endosomal membranes in a pH-dependent fashion. We show that the encrypted polymeric carriers significantly enhance the delivery of oligonucleotides and peptides to the cytoplasm of cultured macrophages, demonstrating the potential of this approach for delivery of biotherapeutics and vaccines.

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Metadata

Authors
Murthy, N., Campbell, J., Fausto, N., Hoffman, A. S., & Stayton, P. S.
Venue
Bioconjugate Chemistry
Published
2003-01-15
Volume
14
Issue
2
Pages
412-419
ISSN
  • 1043-1802 (ISSN-L)
  • 1520-4812
OpenAlex
W1977721883
Cited by
233
References
0
FWCI
3.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bioinspired pH-Responsive Polymers for the Intracellular Delivery of Biomolecular Drugs. https://app.cochat.ai/papers/10.1021/bc020056d
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Murthy, N., Campbell, J., Fausto, N., Hoffman, A. S., & Stayton, P. S. (2003). Bioinspired pH-Responsive Polymers for the Intracellular Delivery of Biomolecular Drugs. Bioconjugate Chemistry. https://doi.org/10.1021/bc020056d

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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.