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PXD027734

PXD027734 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProximity-biotinylation (BioID) to dissect cytoplasmic p53 signaling networks under nutrient stress
Descriptionp53 signaling is a major response mechanism to cellular stresses through cytoplasmic or nuclear action. While p53 protein levels have been shown to increase upon nutrient stresses such as starvation, the exact signaling cascade in this context remains elusive. Here, we use proximity biotinylation (BioID), to derive the cytoplasmic p53 interaction network as immediate early starvation response.
HostingRepositoryPRIDE
AnnounceDate2022-06-09
AnnouncementXMLSubmission_2022-06-09_05:26:59.062.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMarkus Galhuber
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListbiotinylated residue; monohydroxylated residue; iodoacetamide derivatized residue; deamidated residue
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-08-05 08:59:22ID requested
12022-06-09 05:26:59announced
Publication List
Galhuber M, Michenthaler H, Heininger C, Reinisch I, N, รถ, ssing C, Krstic J, Kupper N, Moyschewitz E, Auer M, Heitzer E, Ulz P, Birner-Gruenberger R, Liesinger L, Lenihan-Geels GN, Oster M, Spreitzer E, Zenezini Chiozzi R, Schulz TJ, Schupp M, Madl T, Heck AJR, Prokesch A, Complementary omics strategies to dissect p53 signaling networks under nutrient stress. Cell Mol Life Sci, 79(6):326(2022) [pubmed]
Keyword List
ProteomeXchange project tag: EPIC-XS
submitter keyword: p53 signaling, nutrient stress, starvation, interactome, BioID
Contact List
Andreas Prokesch
contact affiliationGottfried Schatz Research Center for Cell Signaling, Metabolism & Aging Division of Cell Biology, Histology and Embryology Medical University of Graz
contact emailandreas.prokesch@medunigraz.at
lab head
Markus Galhuber
contact affiliationMedical University of Graz
contact emailmarkus.galhuber@medunigraz.at
dataset submitter
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Dataset FTP location
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