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High-throughput Detection Method for Influenza Virus
10:05

High-throughput Detection Method for Influenza Virus

Published on: February 4, 2012

A rapid method for immunotitration of influenza viruses using flow cytometry

R Lonsdale1, M G Pau, M Oerlemans

  • 1Vaccine R&D Division, Crucell Holland BV, P.O. Box 2048, 2301 CA, Leiden, Netherlands.

Journal of Virological Methods
|May 22, 2003
PubMed

Insights

A new fluorescence-activated cell sorting (FACS) assay accurately quantifies influenza virus levels. This faster, specific method offers a viable alternative to traditional plaque assays for influenza research and vaccine development.

Area of Science:

  • Virology
  • Immunology
  • Cell Biology

Background:

  • Accurate influenza virus titration is crucial for research and vaccine development.
  • Traditional plaque assays using Madin-Darby canine kidney (MDCK) cells are time-consuming and labor-intensive.

Purpose of the Study:

  • To develop and validate a novel, rapid, and specific assay for influenza virus titration.
  • To compare the efficacy of the novel assay against the established plaque assay.

Main Methods:

  • Developed a fluorescence-activated cell sorting (FACS) based immunotitration assay.
  • Detected intracellular viral nucleoprotein (NP) using specific antibodies.
  • Validated the assay using diverse influenza virus strains (Type A and B).
  • Correlated results with traditional plaque assay titration.

Main Results:

  • Demonstrated a mathematical correlation between FACS immunotitration and plaque assay results.
  • Confirmed assay specificity using type-specific NP antibodies for influenza A and B.
  • The FACS-based assay proved to be faster and equally accurate.

Conclusions:

  • FACS-based immunotitration is a reliable and efficient alternative to classical plaque assays for influenza virus titration.
  • This novel method enhances speed and specificity in influenza diagnostics and research.
  • The assay supports advancements in influenza research and vaccine development.

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