TY - JOUR
T1 - Data set of the protein expression profiles of Luminal A, Claudin-low and overexpressing HER2+ breast cancer cell lines by iTRAQ labelling and tandem mass spectrometry
AU - Calderón-González, Karla Grisel
AU - Valero Rustarazo, Ma Luz
AU - Labra-Barrios, Maria Luisa
AU - Bazán-Méndez, César Isaac
AU - Tavera-Tapia, Alejandra
AU - Herrera-Aguirre, María Esther
AU - Sánchez del Pino, Manuel M.
AU - Gallegos-Pérez, José Luis
AU - González-Márquez, Humberto
AU - Hernández-Hernández, Jose Manuel
AU - León-Ávila, Gloria
AU - Rodríguez-Cuevas, Sergio
AU - Guisa-Hohenstein, Fernando
AU - Luna-Arias, Juan Pedro
N1 - Publisher Copyright:
© 2015 The Authors.
PY - 2015/9/1
Y1 - 2015/9/1
N2 - Breast cancer is the most common and the leading cause of mortality in women worldwide. There is a dire necessity of the identification of novel molecules useful in diagnosis and prognosis. In this work we determined the differentially expression profiles of four breast cancer cell lines compared to a control cell line. We identified 1020 polypeptides labelled with iTRAQ with more than 95% in confidence. We analysed the common proteins in all breast cancer cell lines through IPA software (IPA core and Biomarkers). In addition, we selected the specific overexpressed and subexpressed proteins of the different molecular classes of breast cancer cell lines, and classified them according to protein class and biological process. Data in this article is related to the research article "Determination of the protein expression profiles of breast cancer cell lines by Quantitative Proteomics using iTRAQ Labelling and Tandem Mass Spectrometry" (Calderón-González et al. [1] in press).
AB - Breast cancer is the most common and the leading cause of mortality in women worldwide. There is a dire necessity of the identification of novel molecules useful in diagnosis and prognosis. In this work we determined the differentially expression profiles of four breast cancer cell lines compared to a control cell line. We identified 1020 polypeptides labelled with iTRAQ with more than 95% in confidence. We analysed the common proteins in all breast cancer cell lines through IPA software (IPA core and Biomarkers). In addition, we selected the specific overexpressed and subexpressed proteins of the different molecular classes of breast cancer cell lines, and classified them according to protein class and biological process. Data in this article is related to the research article "Determination of the protein expression profiles of breast cancer cell lines by Quantitative Proteomics using iTRAQ Labelling and Tandem Mass Spectrometry" (Calderón-González et al. [1] in press).
UR - http://www.scopus.com/inward/record.url?scp=84928799146&partnerID=8YFLogxK
U2 - 10.1016/j.dib.2015.04.025
DO - 10.1016/j.dib.2015.04.025
M3 - Artículo
C2 - 26217805
SN - 2352-3409
VL - 4
SP - 292
EP - 301
JO - Data in Brief
JF - Data in Brief
ER -