| Chapter title |
In Vitro Modeling of RSV Infection and Cytopathogenesis in Well-Differentiated Human Primary Airway Epithelial Cells (WD-PAECs)
|
|---|---|
| Chapter number | 9 |
| Book title |
Human Respiratory Syncytial Virus
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3687-8_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3685-4, 978-1-4939-3687-8
|
| Authors |
Lindsay Broadbent, Remi Villenave, Hong Guo-Parke, Isobel Douglas, Michael D. Shields, Ultan F. Power |
| Abstract |
The choice of model used to study human respiratory syncytial virus (RSV) infection is extremely important. RSV is a human pathogen that is exquisitely adapted to infection of human hosts. Rodent models, such as mice and cotton rats, are semi-permissive to RSV infection and do not faithfully reproduce hallmarks of RSV disease in humans. Furthermore, immortalized airway-derived cell lines, such as HEp-2, BEAS-2B, and A549 cells, are poorly representative of the complexity of the respiratory epithelium. The development of a well-differentiated primary pediatric airway epithelial cell models (WD-PAECs) allows us to simulate several hallmarks of RSV infection of infant airways. They therefore represent important additions to RSV pathogenesis modeling in human-relevant tissues. The following protocols describe how to culture and differentiate both bronchial and nasal primary pediatric airway epithelial cells and how to use these cultures to study RSV cytopathogenesis. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 49 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 9 | 18% |
| Student > Bachelor | 8 | 16% |
| Student > Master | 6 | 12% |
| Lecturer | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 11 | 22% |
| Medicine and Dentistry | 10 | 20% |
| Agricultural and Biological Sciences | 9 | 18% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Engineering | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 11 | 22% |