Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/59822
Tipo: Artigo de Periódico
Título: A Compendium of Physical Exercise-related Human Genes: An'OMIC Scale Analysi
Título em inglês: A Compendium of Physical Exercise-related Human Genes: An'OMIC Scale Analysi
Autor(es): Pacheco, Christina
Felipe, Stela Mirla da Silva
Soares, Milca Magalhães Dias de Carvalho
Alves, Juliana Osório
Soares, Paula Matias
Leal-Cardoso, José Henrique
Loureiro, Adriano César Carneiro
Ferraz, Alex Soares Marreiros
Carvalho, Denise Pires de
Ceccatto, Vânia Marilande
Palavras-chave: Ontologia genética do exercício;Genômica do exercício;Genes ligados ao exercício físico;Fisiologia do exercício molecular;Transcriptoma de exercício físico
Data do documento: 2018
Instituição/Editor/Publicador: BIOLOGY OF SPORT
Citação: PACHECO, Christina et al. A Compendium of Physical Exercise-related Human Genes: An'OMIC Scale Analysi, BIOLOGY OF SPORT, [s. l.], v.35, p.1-11, 2018
Abstract: : Regular exercise is an exogenous factor of gene regulation with numerous health benefits. The study aimed to evaluate human genes linked to physical exercise in an ‘omic scale, addressing biological questions to the generated database. Three literature databases were searched with the terms ‘exercise’, ‘fitness’, ‘physical activity’, ‘genetics’ and ‘gene expression’. For additional references, papers were scrutinized and a textmining tool was used. Papers linking genes to exercise in humans through microarray, RNA-Seq, RT-PCR and genotyping studies were included. Genes were extracted from the collected literature, together with information on exercise protocol, experimental design, gender, age, number of individuals, analytical method, fold change and statistical data. The ‘omic scale dataset was characterized and evaluated with bioinformatics tools searching for gene expression patterns, functional meaning and gene clusters. As a result, a physical exercise-related human gene compendium was created, with data from 58 scientific papers and 5.147 genes functionally correlated with 17 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. While 50.9% of the gene set was up-regulated, 41.9% was down-regulated. 743 up- and 530 down-regulated clusters were found, some connected by regulatory networks. To summarize, up- and down-regulation was encountered, with a wide genomic distribution of the gene set and up- and down-regulated clusters possibly assembled by functional gene evolution. Physical exercise elicits a widespread response in gene expression.
URI: http://www.repositorio.ufc.br/handle/riufc/59822
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