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PXD019594

PXD019594 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleImpact of ultrastructural left-ventricular Ca2+ release unit remodeling in hemodynamic subtypes of severe aortic stenosis
DescriptionAortic valve stenosis (AS) frequently causes heart disease in elderly patients and is characterized by a broad spectrum of hemodynamic phenotypes, some with life-threatening arrhythmias, and increased risk of death. The guideline for management of severe AS in patients is to improve quality of life by transaortic catheter-based valve replacement (TAVR). However, the mechanisms underlying different AS-associated hemodynamic phenotypes remain poorly understood. Proteome profiling by data-independent acquisition mass spectrometry in individual left-ventricular biopsies quantified 2.273 proteins. 160 showed statistically significant abundance changes in AS hearts compared to non-failing samples. Unbiased hierchical clustering identified four different proteotypes which broadly corresponded to hemodynamic phenotypes. As adult cardiomyocytes undergo distinct stages of subcellular remodeling, we used quantitative superresolution microscopy of candidate proteins in left-ventricular biopsies to determine the consequences of dyadic RyR2 protein changes on AS dysfunction in vivo.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_07:53:33.530.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChristof Lenz
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentTripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-06-04 22:34:49ID requested
12022-10-17 02:11:44announced
22023-11-14 07:53:34announced2023-11-14: Updated project metadata.
Publication List
Brandenburg S, Drews L, Sch, ö, nberger HL, Jacob CF, Paulke NJ, Beuthner BE, Topci R, Kohl T, Neuenroth L, Kutschka I, Urlaub H, K, ü, ck F, Leha A, Friede T, Seidler T, Jacobshagen C, Toischer K, Puls M, Hasenfu, ß G, Lenz C, Lehnart SE, Direct proteomic and high-resolution microscopy biopsy analysis identifies distinct ventricular fates in severe aortic stenosis. J Mol Cell Cardiol, 173():1-15(2022) [pubmed]
Keyword List
submitter keyword: proteome profiling,aortic stenosis, myocardial biopsy, transaortic valve replacement, data-independent mass spectrometry, pressure cycling technology
Contact List
Christof Lenz
contact affiliationInstitute of Clinical Chemistry, University Medical Center Goettingen, Germany
contact emailchristof.lenz@med.uni-goettingen.de
lab head
Christof Lenz
contact affiliationMax Planck Institute for Biophysical Chemistry
contact emailchristof.lenz@mpibpc.mpg.de
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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