↓ Skip to main content

PLGA-Listeriolysin O microspheres: Opening the gate for cytosolic delivery of cancer antigens

Overview of attention for article published in Biomedical Microdevices, February 2016
Altmetric Badge

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
23 Mendeley
Title
PLGA-Listeriolysin O microspheres: Opening the gate for cytosolic delivery of cancer antigens
Published in
Biomedical Microdevices, February 2016
DOI 10.1007/s10544-016-0050-6
Pubmed ID
Authors

Ariel Gilert, Limor Baruch, Tomer Bronshtein, Marcelle Machluf

Abstract

Strategies for cancer protein vaccination largely aim to activate the cellular arm of the immune system against cancer cells. This approach, however, is limited since protein vaccines mostly activate the system's humoral arm instead. One way to overcome this problem is to enhance the cross-presentation of such proteins by antigen-presenting cells, which may consequently lead to intense cellular response. Here we examined the ability of listeriolysin O (LLO) incorporated into poly-lactic-co-glycolic acid (PLGA) microspheres to modify the cytosolic delivery of low molecular weight peptides and enhance their cross-presentation. PLGA microspheres were produced in a size suitable for uptake by phagocytic cells. The peptide encapsulation and release kinetics were improved by adding NaCl to the preparation. PLGA microspheres loaded with the antigenic peptide and incorporated with LLO were readily up-taken by phagocytic cells, which exhibited an increase in the expression of peptide-MHC-CI complexes on the cell surface. Furthermore, this system enhanced the activation of a specific T hybridoma cell line, thus simulating cytotoxic T cells. These results establish, for the first time, a proof of concept for the use of PLGA microspheres incorporated with a pore-forming agent and the antigen peptide of choice as a unique cancer protein vaccination delivery platform.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Student > Bachelor 2 9%
Researcher 2 9%
Student > Master 1 4%
Professor 1 4%
Other 2 9%
Unknown 8 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 22%
Chemistry 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Engineering 2 9%
Immunology and Microbiology 1 4%
Other 2 9%
Unknown 8 35%