PXD023897
PXD023897 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Comprehensive Profiling of Plasma Exosomes Using Data Independent Acquisitions New Tools for Aging Cohort Studies |
| Description | Aging is a complex biological process associated with progressive loss of physiological function and susceptibility to several diseases, such as cancer and neurodegeneration. Exosomes are involved in many cellular signaling pathways, and their cargo may serve as promising disease or aging biomarkers. These membrane-bound extracellular vesicles facilitate the transport of intracellular contents to proximal and distal cells in the body. Here, we investigated two omics approaches for exosome analysis. To overcome the challenges of plasma exosome contamination with abundant soluble plasma proteins, we developed a high throughput method to isolate highly purified exosomes from human plasma by sequential size exclusion chromatography and ultrafiltration. First, we used data-dependent acquisitions from offline high-pH reversed-phase fractions of exosome lysate to generate a deep spectral library comprising ~2,300 exosome proteins. Second, in a pilot aging study, we used comprehensive data-independent acquisitions to compare plasma exosomes from young (20 to 26 yrs) and old (60 to 66 yrs) individuals. We quantified 1,318 exosome proteins, and levels of 144 proteins were significantly different in young and old plasma groups (Q<0.05 and >1.5-fold change). We also analyzed exosome miRNA cargo and detected 331 miRNAs. Levels of several were significantly different in young and old individuals. In addition, 88 and 17 miRNAs were unique to old and young individuals, respectively. Plasma exosome biomarkers have great potential for translational studies investigating biomarkers of aging and age-related diseases and to monitor therapeutic aging interventions. |
| HostingRepository | MassIVE |
| AnnounceDate | 2021-02-28 |
| AnnouncementXML | Submission_2021-02-28_15:44:27.326.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Non peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Birgit Schilling |
| SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | instrument model |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2021-01-30 19:07:45 | ID requested | |
| ⏵ 1 | 2021-02-28 15:44:27 | announced |
Publication List
| no publication |
Keyword List
| submitter keyword: exosomes, data-independent acquisition, plasma, biomarker, directDIA, aging |
Contact List
| Birgit Schilling | |
|---|---|
| contact affiliation | Buck Institute for Research on Aging |
| contact email | bschilling@buckinstitute.org |
| lab head | |
| Birgit Schilling | |
| contact affiliation | Buck Institute |
| contact email | bschilling@buckinstitute.org |
| 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.ucsd.edu/MSV000086782/ |
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