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Enable reliable, reproducible gene expression results in an end-to-end real-time PCR (qPCR) workflow. Thermo Fisher Scientific provides integrated solutions across every stage, from sample preparation to data analysis, helping you reduce variability, improve analytical sensitivity, and accelerate your research.
Real-time PCR (qPCR) is a powerful technique used to measure gene expression levels with high analytical sensitivity and analytical specificity. A successful experiment depends on optimizing each step of the workflow.
Step 1:
Preserving samples immediately after collection is essential to prevent RNA degradation and transcriptional changes. RNA is highly susceptible to RNase activity and environmental stress, which can rapidly alter gene expression profiles. Inadequate stabilization can introduce bias before the workflow even begins.
Applications |
Recommended solutions |
Sample collection & RNA stabilization |
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Blood collection & RNA stabilization |
Step 2:
RNA isolation is a critical determinant of downstream qPCR performance. Degraded RNA or co-purified contaminants (e.g. phenol, salts, or genomic DNA) can inhibit reverse transcription and amplification efficiency, leading to variable cycle threshold (Ct) values and reduced sensitivity. Selecting an isolation method tailored to sample type and throughput needs is essential for obtaining high-quality, intact RNA.
Applications |
Recommended solutions |
General-purpose, high-quality RNA |
TRIzol Reagent for robust isolation across diverse sample types |
Magnetic bead–based workflows |
MagMAX mirVana Total RNA Isolation Kit; MagMAX FFPE DNA/RNA Ultra Kit for challenging samples (e.g., FFPE) |
Small RNA enrichment |
mirVana miRNA Isolation Kit for efficient isolation of miRNA and other small RNAs |
Low-input / single-cell workflows |
Single Cell-to-CT kit for sensitive downstream analysis |
Rapid prep without RNA purification |
Cells-to-CT kits for streamlined RT-PCR sample prep |
Step 3:
Reverse transcription converts RNA into complementary DNA (cDNA), providing a stable template for amplification. The efficiency and consistency of this step directly affect quantification accuracy, as incomplete or biased cDNA synthesis can distort gene expression measurements. Enzyme performance, reaction conditions, and RNA input quality all influence yield and representation.
Applications |
Recommended solutions |
Reverse transcription (cDNA synthesis) |
SuperScript IV VILO Master Mix Optimized two-step RT for qPCR, supporting efficient conversion across a wide range of RNA concentrations, enabling earlier Ct values and strong reproducibility even with inhibitor-containing samples |
Reverse transcription (cDNA synthesis) |
SuperScript reverse transcriptase Flexible enzyme choices, with additional formats available to match throughput, input type, and workflow design |
Step 4:
Preamplification is used to increase the abundance of target sequences when starting material is limited, such as in single-cell or low-input samples. This step must maintain relative transcript representation to avoid introducing bias. Properly optimized preamplification enables detection of low-expression genes without compromising quantitative accuracy.
Applications |
Recommended solutions |
cDNA pre-amplification for qPCR |
Step 5:
Real-time PCR amplifies and quantifies target sequences with high sensitivity and specificity. Reaction efficiency, assay design, and reagent quality directly influence Ct values, dynamic range, and reproducibility. Probe-based chemistries such as TaqMan assays enable high analytical specificity and multiplexing, while optimized master mixes improve amplification consistency across samples.
Applications |
Recommended solutions |
Gene expression analysis |
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Gene expression analysis |
TaqMan gene expression assays use a target-specific primer pair and a fluorescent probe to enable precise, reproducible quantification of cDNA. High analytical specificity reduces background signal and supports multiplexing, making these assays well-suited for detecting low-abundance transcripts and generating consistent results across experimental conditions.
qPCR master mixes are optimized to support robust amplification across a range of templates and experimental conditions. Choosing the right mix can improve analytical sensitivity, inhibitor tolerance, and run speed while reducing variability between replicates.
Feature |
TaqMan |
SYBR Green |
Detection chemistry |
Probe-based |
DNA-binding dye |
Specificity |
High (sequence-specific) |
Moderate (binds dsDNA) |
Sensitivity |
High |
Moderate |
Multiplexing |
Yes |
No |
Step 6:
Data analysis converts raw qPCR data into actionable gene expression insights. Gene expression analysis software supports Ct analysis, relative quantification (ΔΔCt), and normalization with reference genes to help ensure consistent, reproducible results. Tools such as ExpressionSuite software enable rapid relative gene expression analysis with built-in quality control, normalization, and clear visualization of fold change and expression patterns.
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1-Step RT-qPCR |
2-Step RT-qPCR |
Cells-to-Ct
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Input type |
RNA |
RNA → cDNA |
Cells |
Chemistry |
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|
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Ideal for |
Single-tube RT + qPCR
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Separate RT and qPCR steps
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Separate RT and qPCR steps
|
Order solutions |
Pre-qPCR qPCR Master Mixes qPCR Assays |
Pre-qPCR qPCR Master Mixes (choose one) qPCR Assays |
qPCR Kits qPCR Assays
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The appropriate qPCR approach depends on sample type, input quantity, throughput needs, and experimental complexity. One-step RT-qPCR is ideal for high-throughput or time-sensitive applications due to its streamlined format and reduced contamination risk. Two-step qPCR offers greater flexibility, allowing cDNA to be stored and used across multiple assays. Cells-to-Ct workflows are best suited for rapid analysis or low-input samples, as they eliminate the need for RNA purification. Selecting the right approach helps balance speed, analytical sensitivity, and reproducibility.
Inconsistent Ct values can be caused by variability in RNA quality, pipetting errors, inhibitors, or suboptimal assay design. Small differences in sample preparation may impact amplification efficiency and reproducibility. Common causes include degraded RNA, inconsistent handling, or inhibitors from extraction. Using verified solutions like TaqMan Gene Expression Assays for analytical specificity, TaqMan Fast Advanced Master Mix for consistent amplification, and reliable RNA isolation kits such as MagMAX kits can help improve reproducibility.
Most qPCR gene expression experiments use between 1 pg and 1 µg of total RNA, depending on sample type and workflow. Low-input applications can use less when paired with efficient reverse transcription and sensitive detection methods. Using high-efficiency reagents such as SuperScript IV VILO master mix for cDNA synthesis and sensitive detection with TaqMan Gene Expression Assays helps ensure accurate results, even with minimal RNA input.
Preamplification is recommended for low-input samples, such as single-cell or limited RNA experiments, where target abundance is too low for direct detection. It increases signal while preserving relative gene expression when optimized correctly. Workflows using the TaqMan PreAmp master mix kit with compatible TaqMan Gene Expression Assays enable reliable detection of low-expression targets without compromising data quality.
For Research Use Only. Not for use in diagnostic procedures.