PXD017899 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Separation of the Bioactive Exosomes from Extracellular Vesicles Derived from Murine CTLs |
Description | Recently, instead of ultracentrifugation, development of new preparation protocol is demanded for research of reliable bioactivity and drug discovery of extracellular vesicles (EVs). In this study, we propose a novel method for large scale preparation of high-performance extracellular vesicles focusing on membrane negative charge. |
HostingRepository | PRIDE |
AnnounceDate | 2022-04-04 |
AnnouncementXML | Submission_2022-04-03_17:46:44.966.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Naohiro Seo |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | No PTMs are included in the dataset |
Instrument | TripleTOF 6600 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2020-03-05 03:34:05 | ID requested | |
⏵ 1 | 2022-04-03 17:46:45 | announced | |
Publication List
Seo N, Nakamura J, Kaneda T, Tateno H, Shimoda A, Ichiki T, Furukawa K, Hirabayashi J, Akiyoshi K, Shiku H, Distinguishing functional exosomes and other extracellular vesicles as a nucleic acid cargo by the anion-exchange method. J Extracell Vesicles, 11(3):e12205(2022) [pubmed] |
Keyword List
submitter keyword: Lipidome, CTL, exosome |
Contact List
Naohiro Seo |
contact affiliation | Mie University Graduate School of Medicine |
contact email | seo-naohiro@clin.medic.mie-u.ac.jp |
lab head | |
Naohiro Seo |
contact affiliation | Mie University Graduate School of Medicine |
contact email | seo-naohiro@clin.medic.mie-u.ac.jp |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD017899
- Label: PRIDE project
- Name: Separation of the Bioactive Exosomes from Extracellular Vesicles Derived from Murine CTLs