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PXD075539

PXD075539 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleCell type-specific proximity labeling of organ secretomes reveals energy balance-dependent proteomic remodeling.
DescriptionIntercellular communication is critical for maintaining organismal metabolic homeostasis. Here, we present a new method enabling temporally controlled, cell type-specific labeling of secreted and membrane proteins in key metabolic tissues. The method employs a genetically encoded proximity-labeling strategy by targeting a Cre-dependent TurboID ligase to the endoplasmic reticulum (ER) in ES cell-derived mice. Expression of TurboID in liver, adipose tissue, and spleen enabled the characterization of organ-specific ER proteomes at baseline and in response to fasting, inflammation, and dietary obesity, revealing tissue- and perturbation-specific changes and augmenting our understanding of how the proteomes of individual tissues change to regulate systemic energy balance. This comprehensive resource represents an important advance toward understanding both how cell-to-cell communication changes in response to energy homeostasis and how it contributes to these alterations. This method is broadly applicable and provides a means for identifying biomarkers and therapeutic targets across a wide range of tissues.
HostingRepositoryPRIDE
AnnounceDate2026-05-13
AnnouncementXMLSubmission_2026-05-13_07:24:48.750.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterHenry Sanford
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: NEWT:10090;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Eclipse
Dataset History
RevisionDatetimeStatusChangeLog Entry
02026-03-11 21:46:00ID requested
12026-05-13 07:24:49announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: None
Contact List
Ekaterina V. Vinogradova
contact affiliationLaboratory of Chemical Immunology and Proteomics, Rockefeller University
contact emailvinograd@rockefeller.edu
lab head
Henry Sanford
contact affiliationRockefeller University
contact emailhsanford@rockefeller.edu
dataset submitter
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