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PXD001355

PXD001355 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleQuantitative proteomic analysis of trypsin-treated extracellular vesicles to evaluate non-vesicular contaminants and surface vesicular proteins.
DescriptionExtracellular vesicles (EVs) are lipid bilayered vesicles released into extracellular milieu by most of cells. Currently, various purification methods of EVs have been established but most of studies use ultracentrifugation-based purification of EVs. However, these methods have the problem of co-purification with non-vesicular contaminants including various different types of particles, small apoptotic vesicles, protein aggregates, and other derived from dead cells or abundant extracellular proteins. Therefore, evaluation of non-vesicular contaminants gives valuable information in EV research. Here, we purified EVs with high purity using density gradient ultracentrifugation and then purified EVs were treated by trypsin to discriminate extra-vesicular proteins from intra-vesicular proteins.
HostingRepositoryPRIDE
AnnounceDate2021-08-30
AnnouncementXMLSubmission_2021-08-30_01:10:50.995.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterGyeongyun Go
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListdehydrated residue; monohydroxylated residue; deamidated residue; iodoacetamide derivatized residue
InstrumentLTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02014-09-23 01:07:39ID requested
12021-08-30 01:10:51announced
Publication List
Choi D, Go G, Kim DK, Lee J, Park SM, Di Vizio D, Gho YS, Quantitative proteomic analysis of trypsin-treated extracellular vesicles to identify the real-vesicular proteins. J Extracell Vesicles, 9(1):1757209(2020) [pubmed]
Keyword List
curator keyword: Biomedical
submitter keyword: Quantitative proteomics, extracellular vesicles, non-vesicular contaminants, trypsin treatment
Contact List
Yong Song Gho
contact affiliationDepartment of Life Sciences, Pohang University of Science and Technology, Pohang 790-784, Republic of Korea
contact emailysgho@postech.ac.kr
lab head
Gyeongyun Go
contact affiliationPOSTECH
contact emailggy0227@postech.ac.kr
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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