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EndoGeneAnalyzer: A tool for selection and validation of reference genes.
Teixeira, Eliel Barbosa; Khayat, André Salim; Assumpção, Paulo Pimentel; Casseb, Samir Mansour; Moreira-Nunes, Caroline Aquino; Moreira, Fabiano Cordeiro.
Afiliação
  • Teixeira EB; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil.
  • Khayat AS; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil.
  • Assumpção PP; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil.
  • Casseb SM; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil.
  • Moreira-Nunes CA; Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil.
  • Moreira FC; Pharmacogenetics Laboratory, Drug Research and Development Center (NPDM), Department of Medicine, Federal University of Ceará, Fortaleza, Brazil.
PLoS One ; 19(4): e0299993, 2024.
Article em En | MEDLINE | ID: mdl-38568963
ABSTRACT
The selection of proper reference genes is critical for accurate gene expression analysis in all fields of biological and medical research, mainly because there are many distinctions between different tissues and specimens. Given this variability, even in known classic reference genes, demands of a comprehensive analysis platform is needed to identify the most suitable genes for each study. For this purpose, we present an analysis tool for assisting in decision-making in the analysis of reverse transcription-quantitative polymerase chain reaction (RT-qPCR) data. EndoGeneAnalyzer, an open-source web tool for reference gene analysis in RT-qPCR studies, was used to compare the groups/conditions under investigation. This interactive application offers an easy-to-use interface that allows efficient exploration of datasets. Through statistical and stability analyses, EndoGeneAnalyzer assists in the select of the most appropriate reference gene or set of genes for each condition. It also allows researchers to identify and remove unwanted outliers. Moreover, EndoGeneAnalyzer provides a graphical interface to compare the evaluated groups, providing a visually informative differential analysis.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica Idioma: En Ano de publicação: 2024 Tipo de documento: Article