Artículo
Characterization of the molecular changes associated with the overexpression of a novel epithelial cadherin splice variant mRNA in a breast cancer model using proteomics and bioinformatics approaches: identification of changes in cell metabolism and an in
Rosso, Marina
; Lapyckyj, Lara
; Besso, María José
; Monje, Marta; Reventós, Jaume; Canals, Francesc; Quevedo Cuenca, Jorge Oswaldo; Matos, María Laura; Vazquez, Monica Hebe
Fecha de publicación:
05/2019
Editorial:
Springer
Revista:
Cancer and Metabolism
ISSN:
2049-3002
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Breast cancer (BC) is the most common female cancer and the leading cause of cancer death in women worldwide. Alterations in epithelial cadherin (E-cadherin) expression and functions are associated to BC, but the underlying molecular mechanisms have not been fully elucidated. We have previously reported a novel human E-cadherin splice variant (E-cadherin variant) mRNA. Stable transfectants in MCF-7 human BC cells (MCF7Ecadvar) depicted fibroblast-like cell morphology, E-cadherin wild-type downregulation, and other molecular changes characteristic of the epithelial-to-mesenchymal transition process, reduced cell-cell adhesion, and increased cell migration and invasion. In this study, a two-dimensional differential gel electrophoresis (2D-DIGE) combined with mass spectrometry (MS) protein identification and bioinformatics analyses were done to characterize biological processes and canonical pathways affected by E-cadherin variant expression.
Palabras clave:
ONCOLOGY
,
BREAST CANCER
,
PROTEOMICS
,
EPITHELIAL CADHERIN SPLICE VARIANT
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Articulos(IBYME)
Articulos de INST.DE BIOLOGIA Y MEDICINA EXPERIMENTAL (I)
Articulos de INST.DE BIOLOGIA Y MEDICINA EXPERIMENTAL (I)
Citación
Rosso, Marina; Lapyckyj, Lara; Besso, María José; Monje, Marta; Reventós, Jaume; et al.; Characterization of the molecular changes associated with the overexpression of a novel epithelial cadherin splice variant mRNA in a breast cancer model using proteomics and bioinformatics approaches: identification of changes in cell metabolism and an in; Springer; Cancer and Metabolism; 7; 1; 5-2019
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