Evidence map›Paper›PMID 27077029›Full record

ArticleBiomolecular detection and quantification2015

How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments.

David Svec, Ales Tichopad, Vendula Novosadova, Michael W Pfaffl, Mikael Kubista

Abstract read
In one paragraph

Article in Biomolecular detection and quantification, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers.

0numbers the graph read from it
0cells of the map it votes in
261citing 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

261 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Fluorescent Probes for the Quantification of RNA by Real-Time qPCR.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  20. Insights ofInternational journal of microbiology · 2026
    Article

201 more citing papers are in PubMed but not listed here.

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

5 authors.

David SvecInstitute of Biotechnology, Academy of Science of the Czech Republic, Prague, Czech Republic; TATAA Biocenter, Gothenburg, Sweden.
Ales TichopadFaculty of Medicine Pilsen, Charles University, Pilsen, Czech Republic.
Vendula NovosadovaInstitute of Biotechnology, Academy of Science of the Czech Republic, Prague, Czech Republic; TATAA Biocenter, Gothenburg, Sweden.
Michael W PfafflPhysiology Weihenstephan, TUM - Technische Universität München, Freising, Germany.
Mikael KubistaInstitute of Biotechnology, Academy of Science of the Czech Republic, Prague, Czech Republic; TATAA Biocenter, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have examined the imprecision in the estimation of PCR efficiency by means of standard curves based on strategic experimental design with large number of technical replicates. In particular, how robust this estimation is in terms of a commonly varying factors: the instrument used, the number of technical replicates performed and the effect of the volume transferred throughout the dilution series. We used six different qPCR instruments, we performed 1-16 qPCR replicates per concentration and we tested 2-10 μl volume of analyte transferred, respectively. We find that the estimated PCR efficiency varies significantly across different instruments. Using a Monte Carlo approach, we find the uncertainty in the PCR efficiency estimation may be as large as 42.5% (95% CI) if standard curve with only one qPCR replicate is used in 16 different plates. Based on our investigation we propose recommendations for the precise estimation of PCR efficiency: (1) one robust standard curve with at least 3-4 qPCR replicates at each concentration shall be generated, (2) the efficiency is instrument dependent, but reproducibly stable on one platform, and (3) using a larger volume when constructing serial dilution series reduces sampling error and enables calibration across a wider dynamic range.

Indexed as

Amplification efficiencyANCOVA, analysis of covarianceCLSI, Clinical and Laboratory Standards InstituteCq, cycle of quantificationDilution seriesEPA, Environmental protection agencyE, PCR efficiencyFDA, food and Drug AdministrationGMO, genetically modified organismIEC, International Electrotechnical CommissionISO, International Organization for StandardizationMIQE, minimum information for publication of quantitative real-time PCR experimentsNTC, no template controlqPCRqPCR assay validationReal-time quantitative PCRRIN, RNA Integrity NumberRT-qPCR, reverse transcription-quantitative polymerase chain reactionStandard curve

Identifiers

PMID27077029
PMCPMC4822216

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.