Amplification Calculators
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PCR Amplification
In each PCR cycle: denaturation (94–98°C) → primer annealing (50–65°C) → extension (72°C). The amount of product after n cycles: N = N₀ × (1 + E)^n, where N₀ is initial copies and E is efficiency (0 to 1). At E = 1 (100%): N = N₀ × 2^n. After 30 cycles at 100% efficiency: N = N₀ × 2^30 ≈ 1 × 10⁹-fold amplification.
qPCR Amplification Efficiency
Efficiency is calculated from a standard curve: E = (10^(−1/slope) − 1) × 100%
Ideal slope = −3.32 (100% efficiency). Slope −3.58 = 90% efficiency; −3.10 = 110% efficiency. MIQE acceptable range: 90–110%. Efficiency is affected by primer design, amplicon length (<200 bp preferred), template quality, and inhibitors in the sample.
Signal Amplification in Immunoassays
ELISA uses enzyme labels (HRP, alkaline phosphatase) that catalytically convert many substrate molecules per enzyme molecule, amplifying the signal well beyond what is achievable with direct labeling. Biotin-streptavidin systems add another amplification layer: 4 biotins bind per streptavidin, and multiple streptavidins can bind per antibody. Tyramide signal amplification (TSA) can boost sensitivity 100–1000-fold over standard methods.
Amplification in Genetics
Gene amplification refers to an increase in copy number of a specific chromosomal region — often seen in cancer. EGFR amplification in lung cancer, HER2 amplification in breast cancer, and MYCN amplification in neuroblastoma drive oncogene overexpression and are detected by FISH (fluorescence in situ hybridization) or qPCR copy number analysis.
Glossary
Frequently Asked Questions
PCR efficiency is calculated from a standard curve: E (%) = (10^(−1/slope) − 1) × 100, where slope is from a plot of Ct vs. log(template amount). At 100% efficiency, each cycle exactly doubles template — the slope is −3.32. Slope −3.58 = 90% efficiency; −3.10 = 110% efficiency. Acceptable range is 90–110% per MIQE. Low efficiency may indicate primer issues, amplicon secondary structure, or inhibitors. High efficiency (>110%) can indicate signal contamination or pipetting errors in the dilution series.
At 100% efficiency: copies = N₀ × 2^30 = N₀ × 1,073,741,824 ≈ 10⁹-fold amplification. Starting from a single copy (N₀ = 1), 30 cycles produce about 1 billion copies. At 90% efficiency: N = N₀ × 1.9^30 ≈ N₀ × 2.4 × 10⁸ — roughly 4-fold less than perfect efficiency. This is why small efficiency differences between genes of interest and reference genes cause large errors in relative quantification.
Common efficiency-reducing factors: amplicon length > 200 bp (longer amplicons amplify less efficiently); GC-rich sequences with strong secondary structure; impure template containing inhibitors (EDTA, heparin, humic acids in soil DNA, hemoglobin in blood); poor primer design (excessive secondary structure, Tm mismatch between primers); low-quality Taq or polymerase; and suboptimal MgCl₂ concentration. Diagnosing low efficiency starts with evaluating the standard curve slope and testing diluted vs. undiluted template.
Gene amplification is an increase in the copy number of a specific genomic region — typically a region containing a proto-oncogene. In cancer, amplification leads to overexpression of growth-promoting proteins. Examples: HER2 (ERBB2) amplified in ~20% of breast cancers (targeted by trastuzumab/Herceptin); EGFR amplified in glioblastoma and lung cancer; MYCN amplified in neuroblastoma (poor prognosis marker). Gene amplification is detected by FISH, SNP array, or NGS copy number analysis.