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PXD016492

PXD016492 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlePhosphoproteomic analysis of cardiac biowires, cardiac hypertrophy patient explants, and hypertrophic mouse heart
Descriptionwe apply and evaluate an integrative mass spectrometry-based tissue profiling strategy that allows for a global quantitative phospho-proteomic survey of normal and disease tissue from human, mouse and OOC-derived specimens. The applicability and utility of this approach was tested in the context of fibrotic cardiac tissue samples from Biowire OOC specimens versus cardiac tissue surgical explants from hypertrophic patients and a transaortic constriction mouse pressure-overload model. Unique attributes and phosphorylation signatures specific to each tissue source were identified, but the results clearly showed that clinically-actionable biological inferences are generated by leveraging commonalities exhibited across the compendium. To validate the application of the cross-platform analytical framework, proof of principle drug testing was performed for selection of anti-fibrotic compounds targeting one of the identified fibrosis-related kinases, GSK3, consistent with a role as a key mediator of fibrosis.
HostingRepositoryPRIDE
AnnounceDate2020-07-15
AnnouncementXMLSubmission_2020-07-15_08:37:41.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterUros Kuzmanov
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListphosphorylated residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-11-28 02:42:37ID requested
12020-07-15 08:37:41announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Phosphoproteomic, cardiovascular, TMT, LC-MS
Contact List
Andrew Emili
contact affiliation9Departments of Biochemistry and Biology and the Centre for Network Systems Biology, Boston University School of Medicine, Boston, MA, United States
contact emailaemili@bu.edu
lab head
Uros Kuzmanov
contact affiliationUniversity of Toronto
contact emailuros.kuzmanov@utoronto.ca
dataset submitter
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Dataset FTP location
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