Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay
June 17th, 2010
52.6K views
The Solaris qPCR Gene Expression Assays are novel pre-designed qPCR primer/probe combinations designed to simplify the qPCR process without sacrificing the specificity and robustness of the assay.
Overview
The Solaris qPCR Gene Expression Assays provide a streamlined approach to real-time PCR, ensuring high specificity and robustness. These assays are designed to detect all known splice variants of target genes, enhancing the efficiency of gene expression studies.
Key Study Components
Area of Science
- Gene expression analysis
- Real-time PCR technology
- Assay optimization
Background
- Real-time PCR is a critical technique for quantifying gene expression.
- Traditional probe and primer design can be limited by melting temperature constraints.
- Solaris assays utilize innovative technologies to enhance probe stability and specificity.
- These assays are optimized for a wide range of human and mouse genes.
Purpose of Study
- To demonstrate the setup and execution of qPCR using Solaris assays.
- To highlight the advantages of using Solaris technology in gene expression studies.
- To provide a protocol for researchers to follow when conducting qPCR experiments.
Methods Used
- Preparation of cDNA from RNA samples.
- Use of Solaris qPCR assays and master mix for amplification.
- Implementation of universal thermocycling conditions.
- Optimization of cycling conditions for various transcripts.
Main Results
- Demonstration of high sensitivity and specificity in detecting gene expression.
- Successful amplification of all known splice variants of target genes.
- Reproducibility of results across multiple assays.
- Efficient use of resources by allowing multiple genes to be assessed in a single run.
Conclusions
- Solaris qPCR assays simplify the process of gene expression analysis.
- These assays provide reliable and reproducible results for researchers.
- The technology enhances the flexibility and specificity of qPCR experiments.
Frequently Asked Questions
What are Solaris qPCR Gene Expression Assays?
They are pre-designed primer/probe combinations that simplify the qPCR process.
How do Solaris assays improve specificity?
They incorporate exon junction spanning regions to avoid amplifying contaminant genomic DNA.
What is the significance of the minor groove binder in Solaris probes?
It stabilizes the probe-target interaction, allowing for shorter probes and higher melting temperatures.
Can Solaris assays detect splice variants?
Yes, they are designed to detect all known splice variants of a gene.
How should Solaris reagents be stored?
They should be stored at -20 degrees Celsius and are stable for at least 12 months.
What is the role of super bases in Solaris assays?
Super bases improve the stability of at bonds and eliminate self-association in GC-rich sequences.
Executive Industry Relevance
Quantitative real-time PCR remains a cornerstone for target validation and biomarker discovery in early drug development. The Solaris qPCR Assay enhances predictive confidence by enabling sensitive, specific, and reproducible detection of all known splice variants under universal cycling conditions. This capability supports efficient screening workflows and reduces biological de-risking timelines in target identification campaigns.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Scientific Value: Enables interrogation of therapeutic hypotheses by detecting all known splice variants of target genes.
- Operational Value: Provides reproducible quantification across laboratories, supporting cross-site target validation efforts.
- Scientific Value: Increases target confidence through exon junction spanning design that avoids genomic DNA contamination.
Screening & Assay Development
- Operational Value: Universal thermal cycling conditions allow multiplexed assay deployment on 384-well plates, increasing throughput.
- Scientific Value: Blue master mix improves pipetting accuracy and reaction tracking during assay setup.
- Operational Value: Pre-designed primer/probe sets for >98% of human and mouse genomes reduce assay development timelines.
Translational & Preclinical Research
- Scientific Value: Enables detection of low-abundance transcripts with high sensitivity, supporting biomarker discovery in disease-relevant models.
- Operational Value: Reagents stable for ≥12 months at −20°C ensure long-term usability in longitudinal preclinical studies.
- Scientific Value: Super base technology improves specificity in GC-rich sequences, enhancing reliability in complex genomic contexts.
Pipeline & Workflow Integration
The Solaris qPCR Assay fits within the discovery continuum from target hypothesis testing through lead optimization, particularly where splice variant resolution and quantitative precision are required.
- Discovery Biology: Supports mechanistic de-risking by confirming target engagement and pathway modulation via splice-specific detection.
- Screening: Enables ready-to-use assay deployment with identical cycling conditions, facilitating plate-based compound screening.
- Analytics: Delivers quantitative outputs including efficiency, R², dynamic range, and lower limit of detection for data-driven hit selection.
- Translational Research: Connects discovery findings to preclinical validation through reproducible cross-laboratory performance.
- Enterprise Reuse: Standardized protocol and pre-designed sets allow reuse across projects, reducing redundant assay development.
Operational & Enterprise Impact
- Scientific Value: Predictive confidence through high specificity, sensitivity, and splice variant coverage.
- Operational Value: Standardization, reproducibility, and scalability enabled by universal conditions and blue master mix.
- Strategic Value: Improved go/no-go decisions via reliable target quantification and reduced false positives.
- Portfolio Impact: Risk-adjusted prioritization supported by reproducible, multi-site data on target expression.
Implementation Considerations
- Requires molecular biology expertise in nucleic acid handling and qPCR setup.
- Needs real-time PCR instrument with compatibility for universal cycling (95°C denaturation, 60°C annealing/extension).
- Requires standardization of reference genes (e.g., B2M) and replicate inclusion (biological/technical) for data integrity.
- Adaptation considerations include ensuring adequate cDNA input quality and avoiding repeated freeze-thaw cycles.
- Practical limitation: Assay performance depends on proper template dilution and contamination controls (NTC, no-RT).
Biopharma FAQs
Why does melt temperature independence matter for target validation?
The Solaris assay uses minor groove binder and super base technologies to overcome traditional melting temperature constraints, enabling detection of GC-rich and splice variant-containing targets that would otherwise be excluded. This increases the range of druggable targets accessible for validation.
How does universal thermal cycling fit the discovery pipeline?
Identical cycling conditions for all Solaris assays allow multiple genes to be run on the same plate, increasing throughput in target screening and biomarker panels. This supports efficient use of qPCR resources in lead identification workflows.
What quantitative measurements enable hit selection in screening?
The assay provides efficiency, R², dynamic range, and lower limit of detection from standard curves, which are used to assess assay quality and compare expression levels across conditions. These metrics support data-driven decisions in compound screening and target prioritization.
Why do replication requirements matter for cross-functional collaboration?
Including biological and technical replicates, along with no-template and no-RT controls, ensures data reproducibility across laboratories and teams. This was demonstrated by consistent expression levels obtained in two geographically separated sites.
What statistical analysis capabilities are required before implementation?
Users must be able to calculate amplification efficiency, R² values, and dynamic range from standard curves to assess assay performance. These analyses are essential for confirming sensitivity, specificity, and reproducibility prior to deploying the assay in discovery projects.
