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NMR metabolic fingerprints of murine melanocyte and melanoma cell lines: application to biomarker discovery.
Santana-Filho, Arquimedes Paixão de; Jacomasso, Thiago; Riter, Daniel Suss; Barison, Andersson; Iacomini, Marcello; Winnischofer, Sheila Maria Brochado; Sassaki, Guilherme Lanzi.
Afiliação
  • Santana-Filho AP; Departamento de Bioquímica e Biologia Molecular, Universidade Federal do Paraná, Cx.P 19046, CEP 81531-990, Curitiba, PR, Brazil.
  • Jacomasso T; Departamento de Bioquímica e Biologia Molecular, Universidade Federal do Paraná, Cx.P 19046, CEP 81531-990, Curitiba, PR, Brazil.
  • Riter DS; Departamento de Bioquímica e Biologia Molecular, Universidade Federal do Paraná, Cx.P 19046, CEP 81531-990, Curitiba, PR, Brazil.
  • Barison A; Departamento de Química, Universidade Federal do Paraná, Cx.P. 19081, CEP 81531-990, Curitiba, PR, Brazil.
  • Iacomini M; Departamento de Bioquímica e Biologia Molecular, Universidade Federal do Paraná, Cx.P 19046, CEP 81531-990, Curitiba, PR, Brazil.
  • Winnischofer SM; Departamento de Bioquímica e Biologia Molecular, Universidade Federal do Paraná, Cx.P 19046, CEP 81531-990, Curitiba, PR, Brazil.
  • Sassaki GL; Departamento de Bioquímica e Biologia Molecular, Universidade Federal do Paraná, Cx.P 19046, CEP 81531-990, Curitiba, PR, Brazil.
Sci Rep ; 7: 42324, 2017 02 15.
Article em En | MEDLINE | ID: mdl-28198377
Melanoma is the most aggressive type of skin cancer and efforts to improve the diagnosis of this neoplasia are largely based on the use of cell lines. Metabolomics is currently undergoing great advancements towards its use to screening for disease biomarkers. Although NMR metabolomics includes both 1D and 2D methodologies, there is a lack of data in the literature regarding heteronuclear 2D NMR assignments of the metabolome from eukaryotic cell lines. The present study applied NMR-based metabolomics strategies to characterize aqueous and lipid extracts from murine melanocytes and melanoma cell lines with distinct tumorigenic potential, successfully obtaining fingerprints of the metabolites from the extracts of the cell lines by means of 2D NMR HSQC correlation maps. Relative amounts of the identified metabolites were compared between the 4 cell lines. Multivariate analysis of 1H NMR data was able not only to differentiate the melanocyte cell line from the tumorigenic ones but also distinguish among the 3 tumorigenic cell lines. We also investigated the effects of mitogenic agents, and found that they can markedly influence the metabolome of the melanocyte cell line, resembling the pattern of most proliferative cell lines.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Melanoma Experimental / Espectroscopia de Ressonância Magnética / Biomarcadores / Metabolômica / Melanócitos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Melanoma Experimental / Espectroscopia de Ressonância Magnética / Biomarcadores / Metabolômica / Melanócitos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido