| Chapter title |
Plasmid-Based Reverse Genetics of Influenza A Virus
|
|---|---|
| Chapter number | 16 |
| Book title |
Reverse Genetics of RNA Viruses
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6964-7_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6962-3, 978-1-4939-6964-7
|
| Authors |
Daniel R. Perez, Matthew Angel, Ana Silvia Gonzalez-Reiche, Jefferson Santos, Adebimpe Obadan, Luis Martinez-Sobrido, Perez, Daniel R., Angel, Matthew, Gonzalez-Reiche, Ana Silvia, Santos, Jefferson, Obadan, Adebimpe, Martinez-Sobrido, Luis |
| Editors |
Daniel R. Perez |
| Abstract |
Influenza A viruses have broad host range with a recognized natural reservoir in wild aquatic birds. From this reservoir, novel strains occasionally emerge with the potential to establish stable lineages in other avian and mammalian species, including humans. Understanding the molecular changes that allow influenza A viruses to change host range is essential to better assess their animal and public health risks. Reverse genetics systems have transformed the ability to manipulate and study negative strand RNA viruses. In the particular case of influenza A viruses, plasmid-based reverse genetics approaches have allowed for a better understanding of, among others, virulence, transmission, mechanisms of antiviral resistance, and the development of alternative vaccines and vaccination strategies. In this chapter we describe the cloning of cDNA copies of viral RNA segments derived from a type A influenza virus into reverse genetics plasmid vectors and the experimental procedures for the successful generation of recombinant influenza A viruses. |
X Demographics
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| Country | Count | As % |
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| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
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| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Bachelor | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Master | 1 | 6% |
| Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 24% |
| Veterinary Science and Veterinary Medicine | 3 | 18% |
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Agricultural and Biological Sciences | 2 | 12% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |