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Item Type: | Article |
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Title: | Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status |
Creators Name: | Coscia, F., Watters, K.M., Curtis, M., Eckert, M.A., Chiang, C.Y., Tyanova, S., Montag, A., Lastra, R.R., Lengyel, E. and Mann, M. |
Abstract: | A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resemble its tumour of origin at the molecular level, but also demonstrate functional utility in pre-clinical investigations. Here, we report the integrated proteomic analysis of 26 ovarian cancer cell lines, HGSOC tumours, immortalized ovarian surface epithelial cells and fallopian tube epithelial cells via a single-run mass spectrometric workflow. The in-depth quantification of >10,000 proteins results in three distinct cell line categories: epithelial (group I), clear cell (group II) and mesenchymal (group III). We identify a 67-protein cell line signature, which separates our entire proteomic data set, as well as a confirmatory publicly available CPTAC/TCGA tumour proteome data set, into a predominantly epithelial and mesenchymal HGSOC tumour cluster. This proteomics-based epithelial/mesenchymal stratification of cell lines and human tumours indicates a possible origin of HGSOC either from the fallopian tube or from the ovarian surface epithelium. |
Keywords: | Datasets as Topic, Epithelial Cells, Fallopian Tubes, Gene Expression Profiling, Mass Spectrometry, Neoplasm Grading, Ovarian Neoplasms, Ovary, Primary Cell Culture, Proteomics, Transcriptome, Tumor Cell Line |
Source: | Nature Communications |
ISSN: | 2041-1723 |
Publisher: | Nature Publishing Group |
Volume: | 7 |
Page Range: | 12645 |
Date: | 26 August 2016 |
Official Publication: | https://doi.org/10.1038/ncomms12645 |
PubMed: | View item in PubMed |
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