⮝ Full datasets listing
PXD074113
PXD074113 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Assessing extracellular vesicle proteins as predictive biomarkers for developing type 1 diabetes |
| Description | Proteomic data from human plasma from donors; grouped into islet autoimmunity (n=19) and control (n=17) individuals. Plasma extracellular vesicles were enriched using strong anion exchange (SAX) beads from Resyn Biosciences, and workflow automated on a KingFisher Flex platform. Samples were reduced, alkylated, and digested with trypsin (1:20 (w/w) enzyme-to-protein ratio). Samples were analyzed on the Orbitrap Astral MS. Data was searched with DIA-NN using PNNL's DMS processing pipeline. |
| HostingRepository | MassIVE |
| AnnounceDate | 2026-05-19 |
| AnnouncementXML | Submission_2026-05-19_12:06:06.882.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Matthew Monroe |
| SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
| ModificationList | Oxidation; Carbamidomethyl; Acetyl |
| Instrument | Orbitrap Astral |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2026-02-05 18:13:45 | ID requested | |
| ⏵ 1 | 2026-05-19 12:06:07 | announced |
Publication List
| no publication |
Keyword List
| submitter keyword: extracellular vesicles, plasma, DatasetType:Proteomics |
Contact List
| Ernesto S. Nakayasu | |
|---|---|
| contact affiliation | Pacific Northwest National Laboratory |
| contact email | ernesto.nakayasu@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/v12/MSV000100738/ |
