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PXD047034

PXD047034 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleCalorie restriction and rapamycin distinctly restore non-canonical ORF translation in the muscles of aging mice
DescriptionLoss of protein homeostasis is one of the hallmarks of aging. As such, interventions that restore proteostasis should slow down the aging process and improve healthspan. Two of the most broadly used anti-aging interventions that are effective in organisms from yeast to mammals are calorie restriction (CR) and rapamycin (RM) treatment. To identify the regulatory mechanisms by which these interventions improve the protein homeostasis in the muscle, we carried out ribosome footprinting in the muscle from mice aged under standard conditions, or under long-term treatment with CR or RM. We found that RM primarily remodels the translation of upstream, and CR the translation of downstream, open reading frames (ORFs). Mass spectrometry analysis reveals the expression of numerous non-canonical ORFs at the protein level. These novel peptides may represent new targets for therapies aiming to maintain muscle function and extend healthspan.
HostingRepositoryMassIVE
AnnounceDate2024-06-03
AnnouncementXMLSubmission_2024-06-03_05:09:59.192.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterAlex Schmidt
SpeciesList scientific name: Mus musculus; common name: house mouse; NCBI TaxID: 10090;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-11-16 23:45:10ID requested
12024-06-03 05:09:59announced
Publication List
no publication
Keyword List
submitter keyword: Translation, Read Through, Muscle, Aging
Contact List
Mihaela Zavolan
contact affiliationBiozentrum, University of Basel
contact emailmihaela.zavolan@unibas.ch
lab head
Alexander Schmidt
contact affiliationBiozentrum, Universtiy of Basel, 4056 Basel, Switzerland
contact emailalex.schmidt@unibas.ch
lab head
Alex Schmidt
contact affiliationUniversity of Basel
contact emailalex.schmidt@unibas.ch
dataset submitter
Full Dataset Link List
MassIVE dataset URI
Dataset FTP location
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