Evidence map›Paper›PMID 25825906›Full record

ArticlePloS one2015

Reference gene validation for RT-qPCR, a note on different available software packages.

Ward De Spiegelaere, Jutta Dern-Wieloch, Roswitha Weigel, Valérie Schumacher, Hubert Schorle, Daniel Nettersheim, Martin Bergmann, Ralph Brehm, Sabine Kliesch, Linos Vandekerckhove and 1 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 1 pooled it
–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

140 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Selection of reference genes for quantitative PCR: identifying reference genes for airway epithelial cells exposed toAmerican journal of physiology. Lung cellular and molecular physiology · 2020
    Pooled it
  2. Trial
  3. Article
  4. Screening of Stable Reference Genes inVeterinary sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Stabilizing the Baseline: Reference Gene Evaluation in Three InvasiveInternational journal of molecular sciences · 2025
    Article
  16. Article
  17. Article
  18. Selection and Validation of Reference Genes inInternational journal of molecular sciences · 2025
    Article
  19. Article
  20. Guidelines for mitochondrial RNA analysis.Molecular therapy. Nucleic acids · 2024
    Review

80 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

11 authors.

Ward De SpiegelaereGhent University, Department of Internal Medicine, Ghent, Belgium.
Jutta Dern-WielochJustus-Liebig-University, Department of Veterinary Anatomy, Histology and Embryology, Giessen, Germany.
Roswitha WeigelJustus-Liebig-University, Department of Veterinary Anatomy, Histology and Embryology, Giessen, Germany.
Valérie SchumacherHarvard Medical School, Department of Pediatrics, Boston, Massachusetts, United States of America.
Hubert SchorleUniversity of Bonn Medical School, Department of Developmental Pathology, Bonn, Germany.
Daniel NettersheimUniversity of Bonn Medical School, Department of Developmental Pathology, Bonn, Germany.
Martin BergmannJustus-Liebig-University, Department of Veterinary Anatomy, Histology and Embryology, Giessen, Germany.
Ralph BrehmUniversity of Veterinary Medicine Hannover, Institute of Anatomy, Hannover, Germany.
Sabine KlieschUniversity of Münster, Center of Andrology and Reproductive Medicine, Münster, Germany.
Linos VandekerckhoveGhent University, Department of Internal Medicine, Ghent, Belgium.
Cornelia FinkJustus-Liebig-University, Department of Veterinary Anatomy, Histology and Embryology, Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn appropriate normalization strategy is crucial for data analysis from real time reverse transcription polymerase chain reactions (RT-qPCR). It is widely supported to identify and validate stable reference genes, since no single biological gene is stably expressed between cell types or within cells under different conditions. Different algorithms exist to validate optimal reference genes for normalization. Applying human cells, we here compare the three main methods to the online available RefFinder tool that integrates these algorithms along with R-based software packages which include the NormFinder and GeNorm algorithms.

results14 candidate reference genes were assessed by RT-qPCR in two sample sets, i.e. a set of samples of human testicular tissue containing carcinoma in situ (CIS), and a set of samples from the human adult Sertoli cell line (FS1) either cultured alone or in co-culture with the seminoma like cell line (TCam-2) or with equine bone marrow derived mesenchymal stem cells (eBM-MSC). Expression stabilities of the reference genes were evaluated using geNorm, NormFinder, and BestKeeper. Similar results were obtained by the three approaches for the most and least stably expressed genes. The R-based packages NormqPCR, SLqPCR and the NormFinder for R script gave identical gene rankings. Interestingly, different outputs were obtained between the original software packages and the RefFinder tool, which is based on raw Cq values for input. When the raw data were reanalysed assuming 100% efficiency for all genes, then the outputs of the original software packages were similar to the RefFinder software, indicating that RefFinder outputs may be biased because PCR efficiencies are not taken into account.

conclusionsThis report shows that assay efficiency is an important parameter for reference gene validation. New software tools that incorporate these algorithms should be carefully validated prior to use.

Indexed as

SoftwareAlgorithmsCell LineCoculture TechniquesHumansReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID25825906
PMCPMC4380439

What OpenQuestion holds

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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.