BMC Genomics (Sep 2024)

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

DOI
https://doi.org/10.1186/s12864-024-10808-y
Journal volume & issue
Vol. 25, no. 1
pp. 1 – 12

Abstract

Read online

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.

Keywords