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PXD018999

PXD018999 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA dichotomous response to chronic fetal hypoxia preprograms aging already during kidney development
DescriptionHypoxia-induced intrauterine growth restriction increases the risk for chronic diseases in adults, affecting more than 140 million high altitude residents worldwide. Still, not much is known about the fetal mechanisms that prone these individuals to disease. Using bottom-up proteomics and the kidney as a readout, we delineated a dichotomous response to chronic hypoxic stress, comprising mechanisms that promote survival, but also induce premature senescence. Combined outcome is the manifestation of a predetermined aging phenotype already during fetal development. This aging phenotype is associated with a characteristic biomarker profile in tissue and blood serum samples, exploitable for targeting and monitoring disease.
HostingRepositoryPRIDE
AnnounceDate2024-10-08
AnnouncementXMLSubmission_2024-10-08_11:11:21.630.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD018999
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterChristopher Gerner
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListOxidation; Acetyl; Carbamidomethyl; monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-05-05 07:14:48ID requested
12024-10-08 11:11:22announced
Publication List
10.6019/PXD018999;
Keyword List
submitter keyword: mass spectrometry, hypoxia, kidney development, tissue proteomics,aging, high performance liquid chromatography
Contact List
Christopher Gerner
contact affiliationDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna
contact emailchristopher.gerner@univie.ac.at
lab head
Christopher Gerner
contact affiliationUniversity of Vienna
contact emailchristopher.gerner@univie.ac.at
dataset submitter
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Dataset FTP location
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