112
Views
2
CrossRef citations to date
0
Altmetric
Original Article

Intracellular sequestration of HER2 via targeted subcellular peptide delivery

ORCID Icon, &
Pages 840-844 | Received 28 Nov 2017, Accepted 18 Feb 2018, Published online: 20 Mar 2018
 

Abstract

The use of peptides in drug development has been hampered by their poor pharmaceutical properties, most notably their inability to reliably permeate biological membranes and lack of targeting. To overcome these disadvantages, the AMino acid Intracellular Delivery SysTem (AMIDST) was developed. This modular peptide-based delivery system confers cellular permeability and organelle-specific targeting for therapeutic peptides. As demonstrated in this study, the delivery of a HER2-binding peptide to the secretory organelles of breast cancer cells resulted in intracellular sequestration, a reduction in downstream signalling, and reduced viability compared to the delivery of a control peptide. Given its modular design and ease of production, AMIDST has the potential to enhance the use of peptides as therapeutic agents.

Acknowledgements

Authors thank Dr. David Roane for support and encouragement.

Disclosure statement

The authors report no declarations of interest.

Additional information

Funding

The authors would like to acknowledge the Research Development Committee and the Gatton College of Pharmacy at East Tennessee State University for supporting this work.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 767.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.