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Multiplex Reverse Transcription-PCR for Simultaneous Surveillance of Influenza A and B Viruses

Overview of attention for article published in Journal of Clinical Microbiology, October 2017
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Title
Multiplex Reverse Transcription-PCR for Simultaneous Surveillance of Influenza A and B Viruses
Published in
Journal of Clinical Microbiology, October 2017
DOI 10.1128/jcm.00957-17
Pubmed ID
Authors

Bin Zhou, Yi-Mo Deng, John R. Barnes, October M. Sessions, Tsui-Wen Chou, Malania Wilson, Thomas J. Stark, Michelle Volk, Natalie Spirason, Rebecca A. Halpin, Uma Sangumathi Kamaraj, Tao Ding, Timothy B. Stockwell, Mirella Salvatore, Elodie Ghedin, Ian G. Barr, David E. Wentworth

Abstract

Influenza A and B viruses are the causative agents of annual influenza epidemics that can be severe; influenza A viruses intermittently cause pandemics. Sequence information from influenza genomes is instrumental in determining mechanisms underpinning antigenic evolution and antiviral resistance. However, due to sequence diversity and the dynamics of influenza evolution, rapid and high-throughput sequencing of influenza viruses remains a challenge. We developed a single-reaction FluA/B Multiplex RT-PCR method that amplifies the most critical genomic segments (HA, NA, and M) of seasonal influenza A and B viruses for next-generation sequencing, regardless of viral types, subtypes, or lineages. Herein we demonstrate that the strategy is highly sensitive and robust. The strategy was validated on thousands of seasonal influenza A and B virus positive specimens using multiple next-generation sequencing platforms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 22%
Researcher 6 13%
Student > Ph. D. Student 4 9%
Student > Bachelor 4 9%
Student > Doctoral Student 2 4%
Other 7 15%
Unknown 13 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 15%
Biochemistry, Genetics and Molecular Biology 7 15%
Immunology and Microbiology 5 11%
Veterinary Science and Veterinary Medicine 4 9%
Medicine and Dentistry 3 7%
Other 5 11%
Unknown 15 33%