Chapter title |
Screening for Host Factors Directly Interacting with RSV Protein: Microfluidics
|
---|---|
Chapter number | 12 |
Book title |
Human Respiratory Syncytial Virus
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3687-8_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3685-4, 978-1-4939-3687-8
|
Authors |
Sarit Kipper, Dorit Avrahami, Monika Bajorek, Doron Gerber |
Abstract |
We present a high-throughput microfluidics platform to identify novel host cell binding partners of respiratory syncytial virus (RSV) matrix (M) protein. The device consists of thousands of reaction chambers controlled by micro-mechanical valves. The microfluidic device is mated to a microarray-printed custom-made gene library. These genes are then transcribed and translated on-chip, resulting in a protein array ready for binding to RSV M protein.Even small viral proteome, such as that of RSV, presents a challenge due to the fact that viral proteins are usually multifunctional and thus their interaction with the host is complex. Protein microarrays technology allows the interrogation of protein-protein interactions, which could possibly overcome obstacles by using conventional high throughput methods. Using microfluidics platform we have identified new host interactors of M involved in various cellular pathways. A number of microfluidics based assays have already provided novel insights into the virus-host interactome, and the results have important implications for future antiviral strategies aimed at targets of viral protein interactions with the host. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 3 | 23% |
Professor > Associate Professor | 3 | 23% |
Student > Ph. D. Student | 2 | 15% |
Researcher | 2 | 15% |
Other | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 38% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Immunology and Microbiology | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 31% |