PXD064347
PXD064347 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Non-invasive Urinary Proteomic Biomarkers for Prognostic Assessment in Sepsis |
| Description | Early identification of the death risk of sepsis may improve short-term prognosis. The objective of this study was to identify urinary proteomic biomarkers and create a model to predict short-term outcomes in sepsis patients. |
| HostingRepository | iProX |
| AnnounceDate | 2025-05-27 |
| AnnouncementXML | Submission_2025-05-27_19:29:13.737.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Jingchun Song |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | timsTOF Pro |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-05-27 19:28:12 | ID requested | |
| ⏵ 1 | 2025-05-27 19:29:14 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: sepsis, biomarkers, urine, proteomics, prediction model |
Contact List
| Jingchun Song | |
|---|---|
| contact affiliation | The 908th Hospital of Chinese PLA Logistic Support Force, China |
| contact email | songjingchun@126.com |
| lab head | |
| Jingchun Song | |
| contact affiliation | The 908th Hospital of Chinese PLA Logistic Support Force, China |
| contact email | songjingchun@126.com |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |
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