Skip to main content
. 2015 Jul 1;15(8):1085–1100. doi: 10.1586/14737159.2015.1057124

Figure 7.

Figure 7.

The effect of additives on preamplification specificity and efficiency. The yield and specificity of preamplification were evaluated at 35 conditions using 18 different additives. Analysis of preamplification: (A, B) preamplification response curves and corresponding melting curves for reactions in the presence of 1-µg/µl bovine serum albumin with 2.5% glycerol or water. (C) Average Cq ± SD for positive (n = 3) and negative samples (n = 3) applying different conditions for preamplification. ΔCq refers to the difference in Cq-values between positive and negative samples for each condition. Conditions are sorted according to ΔCq-value. (F) High-throughput qPCR data of individual assays for nine selected conditions. Average Cq ± SD (n = 3) is shown. The right y-axis indicates the percentage of negative controls positive for nonspecific PCR product formation, calculated from the 91 assays performing accurately in the preamplification (ntotal = 273, 3 negative qPCR controls per assay).

7-deaza-dGTP: 7-deaza-2′-deoxyguanosine 5′-triphosphate lithium salt; BSA: Bovine serum albumin; DMSO: Dimethyl sulfoxide; DTT: Dithiothreitol; LPA: GenElute-LPA; NTC: Non-template control; Poly(I:C): Polyinosinic–polycytidylic acid potassium salt; TMA Cl: Tetramethylammonium chloride.