Dataset Information

Shape based kinetic outlier detection in real-time PCR.

ABSTRACT:

Background

Real-time PCR has recently become the technique of choice for absolute and relative nucleic acid quantification. The gold standard quantification method in real-time PCR assumes that the compared samples have similar PCR efficiency. However, many factors present in biological samples affect PCR kinetic, confounding quantification analysis. In this work we propose a new strategy to detect outlier samples, called SOD.

Results

Richards function was fitted on fluorescence readings to parameterize the amplification curves. There was not a significant correlation between calculated amplification parameters (plateau, slope and y-coordinate of the inflection point) and the Log of input DNA demonstrating that this approach can be used to achieve a "fingerprint" for each amplification curve. To identify the outlier runs, the calculated parameters of each unknown sample were compared to those of the standard samples. When a significant underestimation of starting DNA molecules was found, due to the presence of biological inhibitors such as tannic acid, IgG or quercitin, SOD efficiently marked these amplification profiles as outliers. SOD was subsequently compared with KOD, the current approach based on PCR efficiency estimation. The data obtained showed that SOD was more sensitive than KOD, whereas SOD and KOD were equally specific.

Conclusion

Our results demonstrated, for the first time, that outlier detection can be based on amplification shape instead of PCR efficiency. SOD represents an improvement in real-time PCR analysis because it decreases the variance of data thus increasing the reliability of quantification.

SUBMITTER: Sisti D

PROVIDER: S-EPMC2873533 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature

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Publications

Shape based kinetic outlier detection in real-time PCR.

Sisti Davide D Guescini Michele M Rocchi Marco B L MB Tibollo Pasquale P D'Atri Mario M Stocchi Vilberto V

BMC bioinformatics 20100412

<h4>Background</h4>Real-time PCR has recently become the technique of choice for absolute and relative nucleic acid quantification. The gold standard quantification method in real-time PCR assumes that the compared samples have similar PCR efficiency. However, many factors present in biological samples affect PCR kinetic, confounding quantification analysis. In this work we propose a new strategy to detect outlier samples, called SOD.<h4>Results</h4>Richards function was fitted on fluorescence r ...[more]

PMID: 20385019

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Project description:BackgroundDNA genotyping with mutation-specific TaqMan(R) probes (Applied Biosystems) is broadly used in detection of single-nucleotide polymorphisms but is less so for somatic mutations because of its limited selectivity for low-level mutations. We recently described coamplification at lower denaturation temperature-PCR (COLD-PCR), a method that amplifies minority alleles selectively from mixtures of wild-type and mutation-containing sequences during the PCR. We demonstrate that combining COLD-PCR with TaqMan technology provides TaqMan genotyping with the selectivity needed to detect low-level somatic mutations.MethodsMinor-groove binder-based or common TaqMan probes were designed to contain a nucleotide that matches the desired mutation approximately in the middle of the probe. The critical denaturation temperature (T(c)) of each amplicon was then experimentally determined. COLD-PCR/TaqMan genotyping was performed in 2 steps: denaturation at the T(c), followed by annealing and extension at a single temperature (fast COLD-PCR). The threshold cycle was used to identify mutations on the basis of serial dilutions of mutant DNA into wild-type DNA and to identify TP53 (tumor protein p53) and EGFR [epidermal growth factor receptor (erythroblastic leukemia viral (v-erb-b) oncogene homolog, avian)] mutations in tumors.ResultsCOLD-PCR/TaqMan genotyping identified G>A mutations within TP53 exon 8 (codon 273 mutation hot spot) and C>T mutations within the EGFR gene (drug-resistance mutation T790M) with a selectivity improvement of 15- to 30-fold over regular PCR/TaqMan genotyping. A second round of COLD-PCR/TaqMan genotyping improved the selectivity by another 15- to 30-fold and enabled detection of 1 mutant in 2000 wild-type alleles. Use of COLD-PCR/TaqMan genotyping allowed quantitative identification of low-level TP53 and T790 mutations in colon tumor samples and in non-small-cell lung cancer cell lines treated with kinase inhibitors.ConclusionsThe major improvement in selectivity provided by COLD-PCR enables the popular TaqMan genotyping method to become a powerful tool for detecting low-level mutations in clinical samples.

Dataset Information

Shape based kinetic outlier detection in real-time PCR.

Background

Results

Conclusion

Publications

Shape based kinetic outlier detection in real-time PCR.

Similar Datasets

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