PXD046115 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | U2OS Nek2 KO global proteomics analysis |
| Description | Nek2A is a cell cycle regulated kinase, which is involved in several cellular processes and overexpressed in numerous cancer types. It has been associated with chromosome instability, increased cell proliferation and drug resistance in cancers. With this analysis global proteomics levels of Nek2KO cells were compared to |
| HostingRepository | PRIDE |
| AnnounceDate | 2026-01-28 |
| AnnouncementXML | Submission_2026-01-28_14:47:34.094.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Enes Çiçek |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Q Exactive |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2023-10-13 05:44:51 | ID requested | |
| ⏵ 1 | 2026-01-28 14:47:34 | announced | |
Publication List
Keyword List
| submitter keyword: Nek2a kinase,Cancer |
Contact List
| Ceyda Açılan |
| contact affiliation | Koc University, Faculty of Medicine KUTAM |
| contact email | cayhan@ku.edu.tr |
| lab head | |
| Enes Çiçek |
| contact affiliation | Koc University |
| contact email | ecicek21@ku.edu.tr |
| 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/2026/01/PXD046115 |
| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD046115
- Label: PRIDE project
- Name: U2OS Nek2 KO global proteomics analysis