PXD003668-3

PXD003668 is an original dataset announced via ProteomeXchange.

Title	Integrative proteomic profiling of ovarian cancer cell lines reveals precursor-cell associated proteins and functional status
Description	A cell line representative of human high-grade serous ovarian cancer (HGSOC) should not only resemble its tumor 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 tumors, immortalized ovarian surface epithelial cells, and fallopian tube epithelial cells via a single-run mass spectrometric workflow. The in-depth quantitation 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 dataset, as well as a confirmatory publicly available CPTAC/TCGA tumor proteome dataset, into a predominantly epithelial and mesenchymal HGSOC tumor cluster. This proteomics-based epithelial/mesenchymal stratification of cell lines and human tumors indicates a possible origin of HGSOC either from the fallopian tube or from the ovarian surface epithelium.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_04:09:25.713.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Mario Oroshi
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2016-02-21 23:46:09	ID requested
1	2016-08-24 02:38:11	announced
2	2016-09-12 01:07:37	announced	Updated publication reference for PubMed record(s): 27561551.
⏵ 3	2024-10-22 04:09:33	announced	2024-10-22: Updated project metadata.

Coscia F, Watters KM, Curtis M, Eckert MA, Chiang CY, Tyanova S, Montag A, Lastra RR, Lengyel E, Mann M, Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status. Nat Commun, 7():12645(2016) [pubmed]

10.1038/ncomms12645;

ProteomeXchange project tag: benchmarking, machine learning

curator keyword: Biomedical

submitter keyword: Ovarian Cancer Proteomics

Matthias Mann
contact affiliation	Max Planck Institute for Biochemistry Department of Proteomics and Signaltransduction Am Klopferspitz 18 D-82152 Martinsried
contact email	mmann@biochem.mpg.de
lab head
Mario Oroshi
contact affiliation	Proteomics
contact email	oroshi@biochem.mpg.de
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2016/08/PXD003668

PRIDE project URI

• PRIDE
  1. PXD003668
     1. Label: PRIDE project
     2. Name: Integrative proteomic profiling of ovarian cancer cell lines reveals precursor-cell associated proteins and functional status