PXD013795 is an
original dataset announced via ProteomeXchange.
Dataset Summary
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 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-05-10 01:53:57 | ID requested | |
⏵ 1 | 2019-07-29 00:59:01 | announced | |
Publication List
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] |
Keyword List
submitter keyword: Human, Breast Cancer, Tissue, Cell Lines, LC-MSMS, ChaC |
Contact List
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 | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD013795
- Label: PRIDE project
- Name: Multi-omic dissection of oncogenically active epiproteomes identifies drivers of proliferative or invasive breast tumors