⮝ Full datasets listing
PXD083731
PXD083731 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Endoplasmic Reticulum Dysfunction and Translational Deficiency in Islets of Subjects with Pre-symptomatic Stage 1 Type 1 Diabetes Revealed by Nanoproteomics Profiling |
| Description | Pancreata from nPOD registered donors with stage 1 pre-symptomatic type 1 diabetes (T1D) with auto-antibodies were dissected by laser microdissection (LMD) and the proteome profiles were compared to age/sex matched controls. |
| HostingRepository | MassIVE |
| AnnounceDate | 2026-09-04 |
| AnnouncementXML | Submission_2026-09-04_22:37:45.238.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Supported dataset by repository |
| PrimarySubmitter | Matthew Monroe |
| SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
| ModificationList | Oxidation; Carbamidomethyl |
| Instrument | Q Exactive Plus |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2026-09-04 20:37:31 | ID requested | |
| ⏵ 1 | 2026-09-04 22:37:45 | announced |
Publication List
| no publication |
Keyword List
| submitter keyword: type 1 diabetes, auto-antibodies, nPOD, prediabetic, ER stress, laser microdissection, biomarkers, DatasetType:Proteomics |
Contact List
| Wei-Jun Qian | |
|---|---|
| contact affiliation | Pacific Northwest National Laboratory |
| contact email | Weijun.Qian@pnnl.gov |
| lab head | |
| Matthew Monroe | |
| contact affiliation | Pacific Northwest National Laboratory |
| contact email | matthew.monroe@pnnl.gov |
| 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/v14/MSV000103124/ |




