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PXD023218 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleLinking post-translational modifications and protein turnover by site-resolved protein turnover (SPOT) profiling
DescriptionProteome-wide measurements of protein turnover have largely ignored the impact of post-translational modifications (PTMs). To address this gap, we employ stable isotope labelling and mass spectrometry to measure the turnover of >120,000 peptidoforms including >33,000 phosphorylated, acetylated and ubiquitinated peptides for >9,000 native proteins. This site-resolved protein turnover (SPOT) profiling discloses global and site-specific differences in turnover associated with the presence or absence of PTMs. While causal relationships may not always be immediately apparent, we hypothesize that PTMs with diverging turnover may distinguish states of differential protein stability, structure, localization, enzymatic activity, or protein-protein interactions. We exemplify how the turnover data may facilitate insights into unknown functions of PTMs and provide a web-tool for the scientific community that allows interrogation and visualisation of all turnover data. Since the methodology is applicable to many cell types and modifications, it has substantial potential to prioritize PTMs for functional investigation in the future.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJana Zecha
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListubiquitinylated lysine; phosphorylated residue; acetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive HF; Orbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-12-18 01:48:40ID requested
12021-11-10 13:25:54announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Human, Turnover, PTMs, SILAC
Contact List
Bernhard Kuster
contact affiliationChair of Proteomics and Bioanalytics, Technical University of Munich, Germany
contact emailkuster@tum.de
lab head
Jana Zecha
contact affiliationTUM
contact emailjana.zecha@tum.de
dataset submitter
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