TRAC offers many benefits over traditional qPCR and microarray analysis:

Up to 30 genes per well means many genes can be analyzed in a single experiment, while ensuring accurate ‘in-well’ data normalization

Hundreds to thousands of samples can be processed in parallel using standard 96 well plates, with one sample per well

Low cost
75 % less expensive than qPCR because of lower reagent expenditure

More than 10 x faster than qPCR due to short hands-on time and few manual steps (total time for 96 samples 3-4 h with only 1-2 h hands-on time)

Accurate and reproducible
Automated processing and no need for RNA extraction, cDNA conversion or amplification steps means RNA degradation and experimental bias are greatly reduced (intra- and inter-assay CVs approx 10 %)

Easy to set-up for new targets, offers a possibility to create your own custom panels

TRAC hits the sample/gene number ‘sweet spot’

Cost-effective and time-efficient, TRAC fills the gap between studying genome-wide expression in a small number of samples and studying a few genes in a larger number of samples.

TRAC allows users to explore gene function in-depth across many biological states, all in a single experiment, for example:

  • Changes during each stage of a disease/biological process
  • Quantitative research into novel and known biological pathways, including activation and repression during disease
  • Assessing response to drug treatment including dose-response curves and ADME-Tox profiling
  • Sensitivity and specificity studies based on molecular profiling
  • Normalization using multiple housekeeping genes without sacrificing the number of target genes being analyzed

TRAC has already been successfully used by many labs and the work published in peer review journals.