Technology Bundle ID: TAB-2702

Improved Protein Quantification Process and Vaccine Quality Control Production

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Licensing Contact:
Primary Inventors: 
Tracie Williams (CDC)
Co-Inventors: 
James Pirkle (CDC), John Barr (CDC), Leah Luna (CDC), Ruben Donis (CDC), Zhu Guo (CDC)
Development Stage: 
Pre-Clinical (in vitro)
Development Status: 
  • Early-stage
  • In vitro data available
Institute or Center: 
CDC

This CDC invention is a method for identifying and quantifying a group of proteins in a complex mixture by a liquid chromatography-tandem mass spectrometry assay. The technology was developed for influenza although it can be used for a wide variety of protein quantification applications. As specifically developed, conserved peptides from the proteins of influenza (hemagglutinin, neuramidase, matrix 1 and 2, and nucleoprotein) have been synthesized and labeled to be used as internal standards for the quantification of those proteins in a complex (biological or manufactured) matrix. One or more of these peptides can be used to simultaneously detect and quantify the target proteins by establishing mass ratios and calibration curve comparison. This method for quantifying influenza proteins and peptides in samples has potential for improving vaccine production quality control and therefore, the effectiveness and overall cost-efficiency of influenza vaccines.

Applications:
  • Vaccine production, especially influenza-related
  • Quality assurance, quality control
  • Influenza surveillance programs
Advantages:
  • Simultaneous, precise protein detection and quantification for complex mixtures
  • Rapid; method cuts investigation/research time needed to formulate and optimize novel vaccines for emergent influenza strains
  • Improved vaccine cost and production efficiency

Patents

PCT Application PCT/US2008/013396
Filed on 2008-12-05
US Application 60/992,520
Filed on 2007-12-05
US Pat 8,530,182

Issued 2013-09-10

Publications

Pierce CL, et al.
PMID 21591780
Williams TL, et al.
PMID 18440105
Williams TL, et al.
PMID 22197963
Woolfitt AR, et al.
PMID 19364092

Updated

Dec 23, 2013

Data Source: 
tts