PXD033257 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Unveiling the mechanism of action of nature-inspired anti-cancer compounds using a multi-Omics approach |
Description | MCF-7 breast cancer cells were treated with two novel anti-cancer compounds, SIMR_3058 and SIMR_3066, and the metabolome and proteome analysed by LC-MS/MS using a timsTOF. |
HostingRepository | PRIDE |
AnnounceDate | 2023-01-17 |
AnnouncementXML | Submission_2023-01-17_00:28:34.021.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | AlexanderGiddey |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | timsTOF |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-04-14 06:44:21 | ID requested | |
⏵ 1 | 2023-01-17 00:28:34 | announced | |
2 | 2023-11-14 08:56:00 | announced | 2023-11-14: Updated project metadata. |
Publication List
Keyword List
submitter keyword: anti-cancer, LC-MSMS,timsTOF, human, cells |
Contact List
MohammadSemreen |
contact affiliation | University of Sharjah |
contact email | msemreen@sharjah.ac.ae |
lab head | |
AlexanderGiddey |
contact affiliation | University of Cape Town |
contact email | gddale001@myuct.ac.za |
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/2023/01/PXD033257 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD033257
- Label: PRIDE project
- Name: Unveiling the mechanism of action of nature-inspired anti-cancer compounds using a multi-Omics approach