PXD013795

PXD013795 is an original dataset announced via ProteomeXchange.

Title	Multi-omic dissection of oncogenically active epiproteomes identifies drivers of proliferative or invasive breast tumors
Description	Here we present a functional multi-omics method, interaction-Correlated Multi-omic Aberration Patterning or iC-MAP, which dissects intra-tumor heterogeneity and identifies in situ in real time the oncogenic consequences of multi-omics aberrations that drive proliferative/invasive tumor in individuals with poor prognosis. First, given epigenetic aberrations resulting from complex interactions between genetic susceptibility and environmental influences are the primary driving force of tumorigenesis, we applied our chromatin activity-based chemoproteomics (ChaC) method to characterize the tumor-phenotypic epiproteomes (epigenetic regulatory proteomes) in breast cancer (BC) patient tissues. A biotinylated ChaC probe UNC0965 that specifically binds to the oncogenically active histone methyltransferase G9a enabled the sorting/enrichment of a G9a-interacting epiproteome representing the predominant BC subtype in a tissue, which is separated from other cell types, especially non-malignant cells where G9a is less enzymatically active. ChaC then identified UNC0965-captured G9a interactors that are mostly involved in the oncogenic pathways associated with tumor cell viability and invasion. Using BC patient transcriptomic/genomic data we retrospectively identified the G9a interactor-encoding genes that show individualized iC-MAP in BC-subtypic patients with incurable metastatic disease, revealing essential drivers of proliferative or invasive BC phenotypes. Our iC-MAP findings can not only act as new diagnostic/prognostic markers to identify patient subsets with metastatic disease but also create precision therapeutic strategies that can match proliferative or invasive potential of individual patients.
HostingRepository	PRIDE
AnnounceDate	2019-07-29
AnnouncementXML	Submission_2019-07-29_00:59:00.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	John Wrobel
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	LTQ Orbitrap Velos; Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2019-05-10 01:53:57	ID requested
⏵ 1	2019-07-29 00:59:01	announced

Wrobel JA, Xie L, Wang L, Liu C, Rashid N, Gallagher KK, Xiong Y, Konze KD, Jin J, Gatza ML, Chen X, Multi-omic Dissection of Oncogenically Active Epiproteomes Identifies Drivers of Proliferative and Invasive Breast Tumors. iScience, 17():359-378(2019) [pubmed]

submitter keyword: Human, Breast Cancer, Tissue, Cell Lines, LC-MSMS, ChaC

Xian Chen
contact affiliation	Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill,NC 27599,USA
contact email	xianc@email.unc.edu
lab head
John Wrobel
contact affiliation	University of North Carolina
contact email	wrobel@email.unc.edu
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/2019/07/PXD013795

PRIDE project URI

• PRIDE
  1. PXD013795
     1. Label: PRIDE project
     2. Name: Multi-omic dissection of oncogenically active epiproteomes identifies drivers of proliferative or invasive breast tumors