Vaccine Technologies for Veterinary Viral Diseases
Humana Press, New York, NY
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Timeline
Mendeley readers
| Chapter title |
Plant-Based Vaccine Antigen Production
|
|---|---|
| Chapter number | 3 |
| Book title |
Vaccine Technologies for Veterinary Viral Diseases
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3008-1_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3007-4, 978-1-4939-3008-1
|
| Authors |
Hoang Trong Phan, Udo Conrad |
| Abstract |
The transient and stable expression of potentially therapeutic proteins in plants is a promising tool for the efficient production of vaccines and antibodies at low cost connected with a practically unlimited scale-up. To achieve these goals, two major challenges, inadequate production levels and non-scalable purification technologies, have to be overcome. Here we present and discuss protocols enabling to perform influenza vaccine production by transient expression in tobacco plants, to perform analytical experiments as Western blot, ELISA, and hemagglutination assays and to purify the antigens by classical affinity chromatography and scalable membrane-based Inverse Transition Cycling. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 18% |
| Student > Doctoral Student | 2 | 12% |
| Student > Bachelor | 2 | 12% |
| Professor | 2 | 12% |
| Lecturer | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 35% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Economics, Econometrics and Finance | 1 | 6% |
| Decision Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |