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PXD018917

PXD018917 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA Quantitative Yeast Aging Proteomics Analysis Reveals Novel Aging Regulators
DescriptionExtending lifespan from yeast to mammals, calorie restriction (CR) is the most conserved longevity intervention. Numerous conserved pathways regulating aging and mediating CR have been identified; however, the overall proteomic changes during these conditions remain largely unexplored. We compared proteomes between young and replicatively aged yeast cells under normal and CR conditions using SILAC quantitative proteomics and discovered distinct signatures in the aging proteome. We found remarkable similarities between aged and CR cells, including induction of stress response pathways, providing evidence that CR pathways are engaged in aged cells. These observations also uncovered aberrant changes in mitochondria membrane proteins as well as a proteolytic cellular state in old cells. These proteomics analyses also help identify potential genes and pathways that have causal effects on longevity.
HostingRepositoryPRIDE
AnnounceDate2022-02-15
AnnouncementXMLSubmission_2022-02-15_11:14:11.031.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterRuofan Yu
SpeciesList scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationListNo PTMs are included in the dataset
InstrumentLTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-04-29 17:32:03ID requested
12022-02-15 11:14:11announced
Publication List
Sun Y, Yu R, Guo HB, Qin H, Dang W, A quantitative yeast aging proteomics analysis reveals novel aging regulators. Geroscience, 43(5):2573-2593(2021) [pubmed]
Keyword List
submitter keyword: Yeast, Proteome, Aging, Replicative aging, Caloric restriction
Contact List
Weiwei Dang
contact affiliationHuffington Center on Aging, Baylor College of Medicine, Houston, TX, United States
contact emailweiwei.dang@bcm.edu
lab head
Ruofan Yu
contact affiliationBaylor College of Medicine
contact emailruofanyu90@gmail.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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