Evidence map›Paper›PMID 23861909›Full record

ArticlePloS one2013

Accurate and precise DNA quantification in the presence of different amplification efficiencies using an improved Cy0 method.

Michele Guescini, Davide Sisti, Marco B L Rocchi, Renato Panebianco, Pasquale Tibollo, Vilberto Stocchi

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Improved protocol forExperimental biology and medicine (Maywood, N.J.) · 2023
    Article
  3. Article
  4. Article
  5. Article
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  11. Article
  12. A survey of tools for the analysis of quantitative PCR (qPCR) data.Biomolecular detection and quantification · 2014
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michele GuesciniDepartment of Biomolecular Sciences, University of Urbino Carlo Bo Via I Maggetti, Urbino, Italy. michele.guescini@uniurb.it
Davide Sisti
Marco B L Rocchi
Renato Panebianco
Pasquale Tibollo
Vilberto Stocchi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative real-time PCR represents a highly sensitive and powerful technology for the quantification of DNA. Although real-time PCR is well accepted as the gold standard in nucleic acid quantification, there is a largely unexplored area of experimental conditions that limit the application of the Ct method. As an alternative, our research team has recently proposed the Cy0 method, which can compensate for small amplification variations among the samples being compared. However, when there is a marked decrease in amplification efficiency, the Cy0 is impaired, hence determining reaction efficiency is essential to achieve a reliable quantification. The proposed improvement in Cy0 is based on the use of the kinetic parameters calculated in the curve inflection point to compensate for efficiency variations. Three experimental models were used: inhibition of primer extension, non-optimal primer annealing and a very small biological sample. In all these models, the improved Cy0 method increased quantification accuracy up to about 500% without affecting precision. Furthermore, the stability of this procedure was enhanced integrating it with the SOD method. In short, the improved Cy0 method represents a simple yet powerful approach for reliable DNA quantification even in the presence of marked efficiency variations.

Indexed as

Biopsy, Fine-NeedleComputer SimulationDNADNA, MitochondrialHumansKineticsModels, BiologicalMusclesReal-Time Polymerase Chain ReactionDNADNA, Mitochondrial

Identifiers

PMID23861909
PMCPMC3704541

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.