⮝ Full datasets listing

PXD016498

PXD016498 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleDeciphering Tissue-based Proteome Signatures Revealed Novel Subtyping and Prognostic Markers for Thymic Epithelial Tumors
DescriptionThymic 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.
HostingRepositoryPRIDE
AnnounceDate2020-10-26
AnnouncementXMLSubmission_2020-10-26_00:16:10.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChen Meng
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-11-28 03:17:37ID requested
12020-10-26 00:16:11announced
Publication List
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]
Keyword List
curator keyword: Biomedical
submitter keyword: Thymic epithelial tumors, WHO classification, Protein classifiers, Molecular Profiling, Targeted Proteomics
Contact List
Prof. Wei Yan
contact affiliationLab of Proteomics, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
contact emailweiyan@sjtu.edu.cn
lab head
Chen Meng
contact affiliationBavarian Center for Biomolecular Mass Spectrometry
contact emailchen.meng@tum.de
dataset submitter
Full Dataset Link List
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
Repository Record List
[ + ]