Evidence map›Paper›PMID 39350049›Full record

ArticleBMC genomics2024

RGeasy: a reference gene analysis tool for gene expression studies via RT-qPCR.

Micaele Rodrigues de Souza, Ivo Pontes Araújo, Wosley da Costa Arruda, André Almeida Lima, Solange Aparecida Ságio, Antonio Chalfun-Junior, Horllys Gomes Barreto

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Biomedicines · 2024
    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

7 authors.

Micaele Rodrigues de SouzaLaboratory of Molecular Analysis (LAM), Department of Life Sciences, Federal University of Tocantins, UFT, University Campus of Palmas, Palmas, TO, 402-970, Brazil.
Ivo Pontes AraújoComputer Science Course, Federal University of Tocantins, University Campus of Palmas, Palmas, TO, Brazil.
Wosley da Costa ArrudaComputer Science Course, Federal University of Tocantins, University Campus of Palmas, Palmas, TO, Brazil.
André Almeida LimaLaboratory of Plant Molecular Physiology, Department of Biology, Federal University of Lavras, Lavras, MG, Brazil.
Solange Aparecida SágioLaboratory of Molecular Analysis (LAM), Department of Life Sciences, Federal University of Tocantins, UFT, University Campus of Palmas, Palmas, TO, 402-970, Brazil.
Antonio Chalfun-JuniorLaboratory of Plant Molecular Physiology, Department of Biology, Federal University of Lavras, Lavras, MG, Brazil.
Horllys Gomes BarretoLaboratory of Molecular Analysis (LAM), Department of Life Sciences, Federal University of Tocantins, UFT, University Campus of Palmas, Palmas, TO, 402-970, Brazil. horllys@uft.edu.br.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001
6 · The paper itself

Abstract

Gene expression through RT-qPCR can be performed by the relative quantification method, which requires the expression normalization through reference genes. Therefore, it is essential to validate, experimentally, the candidate reference genes. Thus, although there are several studies that are performed to identify the most stable reference genes, most them validate genes for very specific conditions, not exploring the whole potential of the research since not all possible combinations of treatments and/or conditions of the study are explored. For this reason, new experiments must be conducted by researchers that have interest in analyzing gene expression of treatments and/or conditions present, but not explored, in these studies. Here, we present the RGeasy tool, which aims to facilitate the selection of reference genes, allowing the user to choose genes for a greater number of combinations of treatments/conditions, compared to the ones present in the original articles, through just a few clicks. RGeasy was validated with RT-qPCR data from gene expression studies performed in two coffee species, Coffea arabica and Coffea canephora, and it can be used for any animal, plant or microorganism species. In addition to displaying a rank of the most stable reference genes for each condition or treatment, the user also has access to the primer pairs for the selected reference genes.

Indexed as

Gene Expression ProfilingReal-Time Polymerase Chain ReactionReference StandardsSoftwareCoffeaGene Expression Regulation, PlantGenes, PlantEndogenous genesNormalizationRelative expression

Identifiers

PMID39350049
PMCPMC11441100

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.