⮝ Full datasets listing
PXD070283
PXD070283 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Advancing DIA-Based Limited Proteolysis Workflows: Introducing DIA-LiPA |
| Description | This dataset supports evaluation of library-free DIA workflows for limited proteolysis mass spectrometry (LiP-MS) using a treatment-control experiment. It evaluates DIA-NN and Spectronaut and introduces DIA-LiPA, a pipeline for structural interpretation from semi-tryptic peptides and missing data, enhancing sensitivity and reproducibility in LiP-MS analysis. |
| HostingRepository | MassIVE |
| AnnounceDate | 2026-03-03 |
| AnnouncementXML | Submission_2026-03-03_04:43:59.885.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Chloe Van Leene |
| SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Q Exactive HF |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-11-04 01:56:14 | ID requested | |
| ⏵ 1 | 2026-03-03 04:44:00 | announced |
Publication List
| no publication |
Keyword List
| submitter keyword: Structural proteomics, Limited proteolysis, DatasetType:Proteomics |
Contact List
| Kris Gevaert | |
|---|---|
| contact affiliation | VIB/UGent |
| contact email | kris.gevaert@vib-ugent.be |
| lab head | |
| Chloe Van Leene | |
| contact affiliation | VIB-UGent Center for Medical Biotechnology |
| contact email | chloe.vanleene@vib-ugent.be |
| dataset submitter | |
Full Dataset Link List
| MassIVE dataset URI |
| 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://massive-ftp.ucsd.edu/v11/MSV000099740/ |
