Evidence map›Paper›PMID 27000656›Full record

ArticleMolecular genetics and genomics : MGG2016

Selection of suitable reference genes for gene expression studies in Staphylococcus capitis during growth under erythromycin stress.

Bintao Cui, Peter M Smooker, Duncan A Rouch, Margaret A Deighton

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Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. MarineMarine life science & technology · 2025
    Article
  2. Screening of stable internal reference gene of Quinoa under hormone treatment and abiotic stress.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  3. Article
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

4 authors.

Bintao CuiSchool of Applied Sciences, RMIT University, Plenty Road, Bundoora, VIC, 3083, Australia.
Peter M SmookerSchool of Applied Sciences, RMIT University, Plenty Road, Bundoora, VIC, 3083, Australia.
Duncan A RouchSchool of Applied Sciences, RMIT University, Plenty Road, Bundoora, VIC, 3083, Australia.
Margaret A DeightonSchool of Applied Sciences, RMIT University, Plenty Road, Bundoora, VIC, 3083, Australia. margaret.deighton@rmit.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and reproducible measurement of gene transcription requires appropriate reference genes, which are stably expressed under different experimental conditions to provide normalization. Staphylococcus capitis is a human pathogen that produces biofilm under stress, such as imposed by antimicrobial agents. In this study, a set of five commonly used staphylococcal reference genes (gyrB, sodA, recA, tuf and rpoB) were systematically evaluated in two clinical isolates of Staphylococcus capitis (S. capitis subspecies urealyticus and capitis, respectively) under erythromycin stress in mid-log and stationary phases. Two public software programs (geNorm and NormFinder) and two manual calculation methods, reference residue normalization (RRN) and relative quantitative (RQ), were applied. The potential reference genes selected by the four algorithms were further validated by comparing the expression of a well-studied biofilm gene (icaA) with phenotypic biofilm formation in S. capitis under four different experimental conditions. The four methods differed considerably in their ability to predict the most suitable reference gene or gene combination for comparing icaA expression under different conditions. Under the conditions used here, the RQ method provided better selection of reference genes than the other three algorithms; however, this finding needs to be confirmed with a larger number of isolates. This study reinforces the need to assess the stability of reference genes for analysis of target gene expression under different conditions and the use of more than one algorithm in such studies. Although this work was conducted using a specific human pathogen, it emphasizes the importance of selecting suitable reference genes for accurate normalization of gene expression more generally.

Indexed as

Gene ExpressionGenes, ReporterAlgorithmsAnti-Bacterial AgentsBiofilmsErythromycinGenes, BacterialSoftwareStaphylococcusAnti-Bacterial AgentsErythromycinBiofilmGene transcriptionNormalizationReference genesStabilityStaphylococcus capitis

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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.