Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status

High-grade serous ovarian cancer is the most common and aggressive ovarian cancer, with uncertain cell of origin. Here, the authors undertake a mass spectrometric analysis of 26 cancer cell lines and identify a protein signature that classifies ovarian cancer tissues into epithelial and mesenchymal...

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Autores principales: F. Coscia, K. M. Watters, M. Curtis, M. A. Eckert, C. Y. Chiang, S. Tyanova, A. Montag, R. R. Lastra, E. Lengyel, M. Mann
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
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Acceso en línea:https://doaj.org/article/95fa8f1cb72a47d29457dfe76f69b362
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spelling oai:doaj.org-article:95fa8f1cb72a47d29457dfe76f69b3622021-12-02T16:58:24ZIntegrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status10.1038/ncomms126452041-1723https://doaj.org/article/95fa8f1cb72a47d29457dfe76f69b3622016-08-01T00:00:00Zhttps://doi.org/10.1038/ncomms12645https://doaj.org/toc/2041-1723High-grade serous ovarian cancer is the most common and aggressive ovarian cancer, with uncertain cell of origin. Here, the authors undertake a mass spectrometric analysis of 26 cancer cell lines and identify a protein signature that classifies ovarian cancer tissues into epithelial and mesenchymal groups.F. CosciaK. M. WattersM. CurtisM. A. EckertC. Y. ChiangS. TyanovaA. MontagR. R. LastraE. LengyelM. MannNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-14 (2016)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
F. Coscia
K. M. Watters
M. Curtis
M. A. Eckert
C. Y. Chiang
S. Tyanova
A. Montag
R. R. Lastra
E. Lengyel
M. Mann
Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status
description High-grade serous ovarian cancer is the most common and aggressive ovarian cancer, with uncertain cell of origin. Here, the authors undertake a mass spectrometric analysis of 26 cancer cell lines and identify a protein signature that classifies ovarian cancer tissues into epithelial and mesenchymal groups.
format article
author F. Coscia
K. M. Watters
M. Curtis
M. A. Eckert
C. Y. Chiang
S. Tyanova
A. Montag
R. R. Lastra
E. Lengyel
M. Mann
author_facet F. Coscia
K. M. Watters
M. Curtis
M. A. Eckert
C. Y. Chiang
S. Tyanova
A. Montag
R. R. Lastra
E. Lengyel
M. Mann
author_sort F. Coscia
title Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status
title_short Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status
title_full Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status
title_fullStr Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status
title_full_unstemmed Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status
title_sort integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status
publisher Nature Portfolio
publishDate 2016
url https://doaj.org/article/95fa8f1cb72a47d29457dfe76f69b362
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