Evidence map›Paper›PMID 29209038›Full record

ArticleScientific reports2017

A simple method to assess group difference in RT-qPCR reference gene selection using GeNorm: The case of the placental sex.

Joey St-Pierre, Jean-Charles Grégoire, Cathy Vaillancourt

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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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

3 authors.

Joey St-PierreINRS-Centre Institut Armand-Frappier and BioMed Research Center, Laval, Canada.
Jean-Charles GrégoireINRS-Centre Énergie Matériaux Télécommunications, Montréal, QC, Canada.
Cathy VaillancourtINRS-Centre Institut Armand-Frappier and BioMed Research Center, Laval, Canada. cathy.vaillancourt@iaf.inrs.ca.ORCID 0000-0003-0543-6244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normalization with proper reference genes is a crucial step in obtaining accurate mRNA expression levels in RT-qPCR experiments. GeNorm and NormFinder are two commonly used software packages that help in selecting the best reference genes, based on their expression stability. However, GeNorm does not take into account a group variable, such as sample sex, in its calculation. We demonstrate a simple calculation step to assess the variability of such parameters by multiplying the GeNorm M value with the difference of Cq values between groups. To test this, we used 28 reference gene candidates, to analyze 20 placental samples (10 of each sex), and by using HPRT1 (lower Cq values in male placentas (P = 0.017)), as a target gene. Our calculation demonstrates that the RPL30 - GAPDH reference gene combination is the better option to assess small placental sex differences in mRNA level, versus the selection obtained from GeNorm or NormFinder. The HPRT1 normalized mRNA expression level is different between placental sexes, using RPL30 and GAPDH as reference genes (P = 0.01), but not when using genes suggested by GeNorm or NormFinder. These results indicate that the proposed calculation is appropriate to assess small variations in mRNA expression between 2 groups.

Indexed as

SoftwareFemaleHumansMalePlacentaPregnancyReal-Time Polymerase Chain ReactionReference StandardsReverse Transcriptase Polymerase Chain ReactionSex Determination Analysis

Identifiers

PMID29209038
PMCPMC5717228

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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.