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PXD035712-1

PXD035712 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMitochondrial interactome quantitation reveals structural changes in metabolic machinery in the failing murine heart
DescriptionAdvancements in cross-linking mass spectrometry (XL-MS) for structural analysis of proteins bridge the gap between purified systems and native tissue environments. Here, isobaric quantitative protein interaction reporter technology (iqPIR) was utilized to further extend XL-MS to the first system-wide comparative study of mitochondrial proteins from healthy and diseased murine hearts. The failing heart interactome includes 588 statistically significant cross-linked peptide pairs altered in the disease condition. Structural insight into ketone-oxidation metabolons, OXPHOS machinery, and nucleotide transporter hybrid-conformations support mitochondrial remodeling in failing hearts while bringing forth new hypotheses for pathological mechanisms. The application of quantitative cross-linking technology in tissue provides molecular-level insight into complex biological systems challenging to model in cell culture, thus providing a valuable resource for studying human diseases.
HostingRepositoryPRIDE
AnnounceDate2023-02-27
AnnouncementXMLSubmission_2023-02-27_14:04:30.687.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterAnnaBakhtina
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListiodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-08-02 01:43:25ID requested
12023-02-27 14:04:31announced
22023-11-14 08:56:09announced2023-11-14: Updated project metadata.
Publication List
Keyword List
submitter keyword: quantitative cross-linking
heart failure
cardiac hypertrophy
mitochondria
protein interactions
interactome
mass spectrometry
systems structural biology
Contact List
James EdwardBruce
contact affiliationUniversity of Washington Department of Genome Sciences
contact emailjimbruce@uw.edu
lab head
AnnaBakhtina
contact affiliationUniversity of Washington
contact emailanna.bakhtina91@gmail.com
dataset submitter
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Dataset FTP location
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