Technology Bundle ID: TAB-3296

The CDC 2009 Influenza A H1N1 (Flu) Pandemic Real-time RT-PCR Panel including Pandemic Influenza A and Pandemic H1 Assays

Request More Info
Licensing Contact:
Primary Inventors: 
Bo Shu (CDC), Stephen Lindstrom (CDC)
Co-Inventors: 
Christine Warnes (CDC), Kai-Hui Wu (CDC), LaShondra Berman (CDC), Shannon Emery (CDC)
Research Products: 
Research Equipment
Institute or Center: 
CDC

CDC researchers have developed probes and primers for detecting the 2009 pandemic influenza A H1N1 virus in patient samples using real-time reverse transcription-polymerase chain reaction (rRT-PCR) methods. These primers and probes were originally developed in 2009 and were cleared by the FDA as part of a domestic human diagnostic testing panel in June 2010. These were also updated to increase specificity and/or sensitivity of the detection methods. The compositions and methods can be used to quickly identify 2009 pandemic influenza A (pdm InfA) and pandemic H1 (pdm H1), other influenza A virus sub-types (e.g., H3, H5, H7, and H9) and influenza B virus sub-types present in a sample. The CDC-developed probes and primers permit the rapid detection and/or discrimination of influenza virus subtype nucleic acids in initial clinical sample testing.

Applications:
  • Influenza A & pandemic influenza diagnostics using clinical specimens
  • Government and regional influenza surveillance programs
  • Quality control/quality assurance testing for influenza vaccine candidates
Advantages:
  • Assay allows for rapid universal detection and characterization of the 2009 A H1N1 pandemic influenza virus
  • High sensitivity and specificity
  • High-throughput sample screening and easily formatted as a kit or array
  • Faster than culturing and serological identification methods
  • Less laborious and more objective (quantitative) than immunoassays

Patents

US Application 62/432,340
Filed on 2016-12-09
US Pat 10,329,630

Issued 2019-06-25

Publications

Shcherbik S., et al.
PMID 24056261
Shu B., et al.
PMID 21593260

Updated

Jun 20, 2018

Data Source: 
tts