Chapter title |
Production of Adjuvant-Loaded Biodegradable Particles for Use in Cancer Vaccines
|
---|---|
Chapter number | 14 |
Book title |
Vaccine Adjuvants
|
Published in |
Methods in molecular biology, October 2016
|
DOI | 10.1007/978-1-4939-6445-1_14 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6443-7, 978-1-4939-6445-1
|
Authors |
Cristina Maria de Barros, Emad Ibrahim Wafa, Khanidtha Chitphet, Kawther Ahmed, Sean M. Geary, Aliasger K. Salem |
Editors |
Christopher B. Fox |
Abstract |
Immune adjuvants, such as ligands for pathogen-associated molecular patterns (PAMPs), have been showing promise in boosting immune responses to tumor associated antigens, and delivering these adjuvants as discrete packages is considered advantageous over delivery in soluble form. Here we describe in detail, methods for independently loading a range of adjuvants into polymer-based biodegradable particles. We also describe the means by which to characterize these particles with respect to adjuvant loading and release kinetics as well as in terms of particle size, shape, and zeta-potential. These adjuvant-loaded particles have the potential to be used in dendritic cell-based uptake experiments performed in vitro or to be used in preclinical cancer vaccine research applications where they can be co-delivered with antigen-loaded particles or some other vaccine component comprising antigenic material. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 2 | 13% |
Student > Master | 2 | 13% |
Student > Bachelor | 1 | 7% |
Professor | 1 | 7% |
Other | 4 | 27% |
Unknown | 3 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Chemical Engineering | 4 | 27% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 20% |
Immunology and Microbiology | 2 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Neuroscience | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 20% |