| Chapter title |
A Proteomic-Based Workflow Using Purified Respiratory Syncytial Virus Particles to Identify Cellular Factors as Drug Targets
|
|---|---|
| Chapter number | 13 |
| Book title |
Human Respiratory Syncytial Virus
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3687-8_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3685-4, 978-1-4939-3687-8
|
| Authors |
Tra Nguyen Huong, Boon Huan Tan, Richard J. Sugrue |
| Abstract |
The identification of cellular factors that play a role in respiratory syncytial virus (RSV) replication is an alternative strategy in the identification of druggable cellular protein that are essential for RSV replication. In this regard experimental strategies that are able to screen relevant proteins from the vast array of proteins in the cellular milieu will facilitate the identification of potential drug targets. In this chapter we describe a procedure where RSV particles are purified from cells that are permissive for RSV infection, and the protein composition of the purified virus particles characterized using a proteomics-based strategy. This procedure revealed that actin, several actin-binding proteins, and the chaperones HSP70 and HSP90 also co-purified with the virus particles. The relevance of the HSP90 protein to virus replication was then further validated using imaging, gene silencing and by using an established small molecule HSP90 inhibitor. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 29% |
| Professor > Associate Professor | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Doctoral Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 29% |
| Agricultural and Biological Sciences | 2 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 6 | 43% |