PXD058173 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Protein relative quantitative analysis based on parallel reaction detection (PRM) |
| Description | YTHDC1K82 lactylation relative quantitative analysis based on parallel reaction detection (PRM) |
| HostingRepository | PRIDE |
| AnnounceDate | 2025-07-18 |
| AnnouncementXML | Submission_2025-07-17_19:25:42.087.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | yuangui tang |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
| ModificationList | lactic acid |
| Instrument | Orbitrap Fusion Lumos |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2024-11-22 04:34:43 | ID requested | |
| ⏵ 1 | 2025-07-17 19:25:42 | announced | |
Publication List
Keyword List
| submitter keyword: YTHDC1K82 lactylation |
Contact List
| Junfang Zheng |
| contact affiliation | Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China |
| contact email | zhengjf@ccmu.edu.cn |
| lab head | |
| yuangui tang |
| contact affiliation | Capital Medical University |
| contact email | yuanguitang@outlook.com |
| 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/2025/07/PXD058173 |
| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD058173
- Label: PRIDE project
- Name: Protein relative quantitative analysis based on parallel reaction detection (PRM)