PXD016498

PXD016498 is an original dataset announced via ProteomeXchange.

Title	Deciphering Tissue-based Proteome Signatures Revealed Novel Subtyping and Prognostic Markers for Thymic Epithelial Tumors
Description	Thymic epithelial tumors (TETs) belong to a group of tumors that rarely occur, but have unresolved mechanisms and heterogeneous clinical behaviors. Current care of TET patients demands biomarkers of high sensitivity and specificity for accurate histological classification and prognosis management. In this study, 90 fresh-frozen tissue samples were recruited to generate a quantitative and systematic view of proteomic landscape of TETs by data independent acquisition mass spectrometry (DIA-MS) leading to discovery of novel classifying molecules among different TET subtypes.
HostingRepository	PRIDE
AnnounceDate	2020-10-26
AnnouncementXML	Submission_2020-10-26_00:16:10.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Chen Meng
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2019-11-28 03:17:37	ID requested
⏵ 1	2020-10-26 00:16:11	announced

Ku X, Sun Q, Zhu L, Gu Z, Han Y, Xu N, Meng C, Yang X, Yan W, Fang W, Deciphering tissue-based proteome signatures revealed novel subtyping and prognostic markers for thymic epithelial tumors. Mol Oncol, 14(4):721-741(2020) [pubmed]

curator keyword: Biomedical

submitter keyword: Thymic epithelial tumors, WHO classification, Protein classifiers, Molecular Profiling, Targeted Proteomics

Prof. Wei Yan
contact affiliation	Lab of Proteomics, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
contact email	weiyan@sjtu.edu.cn
lab head
Chen Meng
contact affiliation	Bavarian Center for Biomolecular Mass Spectrometry
contact email	chen.meng@tum.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/2020/10/PXD016498

PRIDE project URI

• PRIDE
  1. PXD016498
     1. Label: PRIDE project
     2. Name: Deciphering Tissue-based Proteome Signatures Revealed Novel Subtyping and Prognostic Markers for Thymic Epithelial Tumors