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Reverse Genetics of RNA Viruses

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Attention for Chapter 13: Lassa Virus Reverse Genetics
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Chapter title
Lassa Virus Reverse Genetics
Chapter number 13
Book title
Reverse Genetics of RNA Viruses
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6964-7_13
Pubmed ID
Book ISBNs
978-1-4939-6962-3, 978-1-4939-6964-7
Authors

Luis Martínez-Sobrido, Slobodan Paessler, Juan Carlos de la Torre, Martínez-Sobrido, Luis, Paessler, Slobodan, de la Torre, Juan Carlos

Editors

Daniel R. Perez

Abstract

The Old World (OW) arenavirus Lassa (LASV ) is estimated to infect several hundred thousand people yearly in West Africa, resulting in high numbers of Lassa fever (LF), a viral hemorrhagic fever (HF) disease associated with high morbidity and mortality. To date, no licensed vaccines are available to LASV infections, and anti-LASV drug therapy is limited to an off-label use of ribavirin (Rib) that is only partially effective. The development of reverse genetics has provided investigators with a novel and powerful approach for the investigation of the molecular, cell biology, and pathogenesis of LASV. The use of cell-based LASV minigenome (MG) systems has allowed examining the cis- and trans-acting factors involved in genome replication and gene transcription and the identification of novel drugable LASV targets. Likewise, it is now feasible to rescue infectious recombinant (r)LASV entirely from cloned cDNAs containing predetermined mutations in their genomes to investigate virus-host interactions and mechanisms of pathogenesis, as well as to facilitate screens to identify antiviral drugs against LASV and the implementation of novel strategies to develop live-attenuated vaccines (LAV). In this chapter we will summarize the state-of-the-art experimental procedures for implementation of LASV reverse genetics. In addition, we will briefly discuss some significant translational research developments that have been made possible upon the development of LASV reverse genetics.

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Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Ph. D. Student 7 14%
Student > Master 6 12%
Student > Doctoral Student 4 8%
Student > Postgraduate 3 6%
Other 5 10%
Unknown 16 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 18%
Immunology and Microbiology 5 10%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 3 6%
Veterinary Science and Veterinary Medicine 2 4%
Other 10 20%
Unknown 17 34%