QGE Performance

SNP Genotyping
DNA Methylation
Molecular Typing
Somatic Mutation Profiling
Gene Expression Analysis
QGE Performance
Data Normalization
How it Works
Literature
Results
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Through dilution experiments conducted in an independent study, it has been demonstrated that there is not a statistically significant difference between the results from QGE and RT-PCR except sensitivity. Ratios for 12 different assays with up to 10,000 fold differences in expression levels were specifically compared.

Results

Comparing ratios for 12 different assays with up to 10,000 fold differences in expression levels it has been reported that there is not statistically significant difference between the results from QGE and RT-PCR; except sensitivity.

  • 100% of MassARRAY® QGE assays worked first-pass with standardized PCR conditions
  • 42% of assays failed first pass in RT-PCR
  • ~50-100 times less total RNA was used in QGE
  • Greater sensitivity was obtained with QGE
  • Uniform standard conditions can be used with QGE

Elvidge et al. Anal. Biochem., Vol. 339, 2005

 
Feature MassARRAY® QGE Advantage
Multiplexing
  • Multiplex up to 24 targets per reaction
  • Examine 20-200 genes for larger sample studies
  • Compare absolute levels of gene expression within the same biological sample
  • Rapidly assess optimal reference gene sets for data normalization
Sensity and LOQ
  • Detect as little as a single molecule
  • Start with as little as 5 pg material
  • Differentiate 10% change in expression levels
  • Get high precision (~3% RSD) over a large dynamic range
Assay Designer
  • Run universal reaction conditions
  • Minimize PCR optimization
  • Rapidely design optimal plex sets