Robust and high-performance hydrolysis probe-based qPCR
QuantiNova LNA Probe PCR Focus Panels use FAM-labeled hydrolysis probe-based detection, which is highly sensitive and robust, because only the desired PCR product is detected. Probe-based detection still requires high PCR specificity to prevent amplification artifacts such as non-specific PCR products and primer–dimers that can compete for reaction components and compromise performance. However, we’ve already optimized the QuantiNova LNA Probe PCR system for you to eliminate non-specific amplification and give you accurate and sensitive detection every time.
Most comprehensive and specific coverage
QuantiNova LNA Probe PCR Focus Panels include the assays needed for a thoroughly researched panel of relevant pathway- or disease-focused genes. The predesigned assays have been designed using our proprietary algorithm to provide the most sensitive, accurate and effective analysis. Most of the assays are intron-spanning when possible and detect only RNA. Assays that do not span an intron are designated as such, and if there is one exon in the target, unwanted signals can be easily eliminated using the QuantiNova Reverse Transcription Kit with the integrated gDNA removal step.
Flexible layout and controls
QuantiNova LNA Probe PCR Focus Panels are available in 96-well plate, 384-well plate and 100-well disc formats and are used to monitor the expression of 84 genes related to a disease state or pathway, plus multiple reference genes. Each Focus Panel includes control elements for the following:
- Data normalization
- Genomic DNA contamination detection
- RNA sample quality
- General PCR performance
Multiple plate discounts
Plate quantity ordered | Discount (%) |
1–5 | 0 |
6–11 | 25 |
12–23 | 40 |
24+ | 55 |
Complimentary data analysis
The complimentary, web-based data analysis tool in the GeneGlobe Data Analysis Center includes a user-friendly wizard to guide you step-by-step through the normalization and analysis of your data and generates publication-ready results figures.