PXD014458 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Proteomic breast cancer data set for exploring somatic mutations |
Description | MCF7, SKBR3 (breast cancer) and MCF10 (non-tumorigenic) cell extracts were explored by LC-MS/MS for the identification of protein-level mutations. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_04:05:30.232.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Iulia M. Lazar |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | LTQ |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-07-02 01:22:34 | ID requested | |
1 | 2019-07-25 08:08:25 | announced | |
⏵ 2 | 2024-10-22 04:05:31 | announced | 2024-10-22: Updated project metadata. |
Publication List
Lazar IM, Karcini A, Ahuja S, Estrada-Palma C, Proteogenomic Analysis of Protein Sequence Alterations in Breast Cancer Cells. Sci Rep, 9(1):10381(2019) [pubmed] |
10.1038/s41598-019-46897-z; |
Keyword List
submitter keyword: Cell lines, somatic mutations, LC-MS/MS |
Contact List
Iulia M. Lazar |
contact affiliation | Virginia Tech |
contact email | malazar@vt.edu |
lab head | |
Iulia M. Lazar |
contact affiliation | Virginia Tech |
contact email | malazar@vt.edu |
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/2019/07/PXD014458 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD014458
- Label: PRIDE project
- Name: Proteomic breast cancer data set for exploring somatic mutations