Most proteomics platforms that rely on labeling can only be used in cell lines and handle a small number of samples in any one experiment, making it difficult to quantify significant changes in cell signaling. In contrast, Activiomics Ltd.'s TIQUAS label-free proteomics software can be used in human tissue samples and can quantify statistically significant changes in kinase phosphorylation.

The result, according to the company, is more robust conclusions in biomarker discovery.