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PXD022694

PXD022694 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA genetic platform to delineate tissue-specific in vivo secretion
DescriptionAt present, it remains difficult to deconvolute serum in order to identify the cell or tissue origin of a given circulating protein. Here, by exploiting the properties of proximity biotinylation, we describe a mouse model that enables the elucidation of the in vivo tissue-specific secretome. As an example, we demonstrate how we can readily identify in vivo endothelial-specific secretion, as well as how this model allows for the characterization of muscle-derived serum proteins that either increase or decrease with exercise. This genetic platform should therefore be of wide utility in understanding normal and disease physiology and for the rational design of tissue-specific disease biomarkers.
HostingRepositoryPRIDE
AnnounceDate2021-01-14
AnnouncementXMLSubmission_2021-01-14_00:35:46.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD022694
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterMehdi Pirooznia
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue; deamidated residue
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-11-24 07:50:55ID requested
12021-01-14 00:35:47announced
Publication List
Liu J, Jang JY, Pirooznia M, Liu S, Finkel T, The secretome mouse provides a genetic platform to delineate tissue-specific in vivo secretion. Proc Natl Acad Sci U S A, 118(3):(2021) [pubmed]
Keyword List
submitter keyword: Secretome, biotinylation, ER-BioIDHA, serum, endothelial cells, muscle
Contact List
Toren Finkel
contact affiliationAging Institute, University of Pittsburgh School of Medicine/UPMC
contact emailfinkelt@pitt.edu
lab head
Mehdi Pirooznia
contact affiliationNational Heart Lung and Blood Institute , National Institutes of Health
contact emailmehdi.pirooznia@nih.gov
dataset submitter
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Dataset FTP location
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