QuantiGene Gene Expression Assays for Biomarker Verification

RNA biomarkers can be effective indicators of biological processes, pathological processes, or potential responses to treatment. While RNA biomarkers are often identified using profiling methods such as RNA-seq or microarray, biomarker verification requires robust, cost-effective techniques that enable reproducible measurement of differential expression. QuantiGene Gene Expression Assays are ideal for verification of gene expression biomarkers.

Figure 1. Testing of formalin-fixed, paraffin-embedded (FFPE)–derived candidates by Quantigene 2.0 Plex (QGP). QGP data presented as a cluster dendrogram clustered on rows (samples) and columns (gene expression). Heat map colored by Z-score [low expression (blue), through white, to high expression (red)]. Activated B-cell samples are identified by dark blue and germinal center B-cell by yellow boxes on the sample dendrogram.

Figure 2. Normalized gene expression of various targets in HeLa cells at different time points post stimulation with a Cell Stimulation cocktail. Y-axis: Average normalized expression; x-axis: mRNA targets; z-axis: time points of stimulation. Only a subset of gene targets tested is being displayed. HeLa cells were cultured in a 384-well format and stimulated with a Cell Stimulation cocktail for various times up to 24h (1h, 2h, 4h, 24h). Unstimulated cells served as baseline control. At the indicated time points, cells were lysed according to the QuantiGene sample prep protocol for cell lysates using liquid handling (Thermo Fisher Platemate). After all samples from all time points were prepared, the QuantiGene Plex 384-well assay was performed. Chart illustrates the normalized gene expression results.