Evidence map›Paper›PMID 42427453›Full record

ArticleBio-protocol2026

Efficiency-Corrected Relative Quantification of qPCR Data Using LinRegPCR and a Spreadsheet-Based Workflow.

Louis Arnould Müller, Laurent Tiret

Abstract read
In one paragraph

Article in Bio-protocol, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Louis Arnould MüllerEcole nationale vétérinaire d'Alfort, Équipe MUSE, Maisons-Alfort, France.
Laurent TiretEcole nationale vétérinaire d'Alfort, Équipe MUSE, Maisons-Alfort, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative real-time PCR (qPCR) is widely used for the quantitative assessment of relative transcript abundance in biological and medical research. Rigorous interpretation of qPCR data requires appropriate correction and normalization workflows that account for both technical variability and experimental heterogeneity. Regarding the correction step, the most used qPCR analysis relies on the 2

Indexed as

Biostatistical analysis of transcript abundancePCR data quality controlReference gene validationReproducible research workflowsRT-qPCR normalization strategies

Identifiers

PMID42427453
PMCPMC13347129

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.