Evidence map›Paper›PMID 29662144›Full record

ArticleScientific reports2018

Selection of stable reference genes for RT-qPCR in Rhodococcus opacus PD630.

Drew M DeLorenzo, Tae Seok Moon

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Cell Disruption and RNA Extraction fromInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. Molecular-Genetic Research ofMolecules (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
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  12. Article
  13. Development ofBiotechnology for biofuels · 2019
    Review
  14. Lipid metabolism of phenol-tolerantBiotechnology for biofuels · 2018
    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

2 authors.

Drew M DeLorenzoDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, 63130, USA.
Tae Seok MoonDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, 63130, USA. tsmoon@wustl.edu.ORCID 0000-0001-8373-9051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhodococcus opacus PD630 is a gram-positive bacterium with promising attributes for the conversion of lignin into valuable fuels and chemicals. To develop an organism as a cellular factory, it is necessary to have a deep understanding of its metabolism and any heterologous pathways being expressed. For the purpose of quantifying gene transcription, reverse transcription quantitative PCR (RT-qPCR) is the gold standard due to its sensitivity and reproducibility. However, RT-qPCR requires the use of reference genes whose expression is stable across distinct growth or treatment conditions to normalize the results. Unfortunately, no in-depth analysis of stable reference genes has been conducted in Rhodococcus, inhibiting the utilization of RT-qPCR in R. opacus. In this work, ten candidate reference genes, chosen based on previously collected RNA sequencing data or literature, were examined under four distinct growth conditions using three mathematical programs (BestKeeper, Normfinder, and geNorm). Based on this analysis, the minimum number of reference genes required was found to be two, and two separate pairs of references genes were identified as optimal normalization factors for when ribosomal RNA is either present or depleted. This work represents the first validation of reference genes for Rhodococcus, providing a valuable starting point for future research.

Indexed as

Genes, BacterialReverse TranscriptionActinomycetales InfectionsGene Expression ProfilingHumansReference StandardsReverse Transcriptase Polymerase Chain ReactionRhodococcus

Identifiers

PMID29662144
PMCPMC5902447

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.