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PXD011142

PXD011142 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMulti-Omics Analyses Revealed Conserved Aging Signatures in Mice
DescriptionStudies on aging have largely included one or two OMICS layers, which may not necessarily reflect the signatures of other layers. Moreover, most aging studies have often compared very young (4-5 wks) mice with old (24 months) mice which does not reflect the aging transition after the attainment of adulthood. Therefore, we aimed to study and compared muti-OMICS aging signatures across key metabolic tissues of mature adults (6 months) and old (24 months) C57BL/6J mice (the most commonly used mouse strain). Here we compared the differentially regulated genes and enriched pathways for transcriptome, proteome and epigenome (H3K27ac, H3K4me3, H3K27me3, DNA methylation) across liver, heart, and quadriceps muscle. The major aging associated pathways cross multiple layers and tissues are decreased RNA metabolism, transcription, and translation at transcript and protein levels however increased potential of transcription at DNA methylation and H3K27ac levels.
HostingRepositoryPRIDE
AnnounceDate2021-11-30
AnnouncementXMLSubmission_2021-11-30_12:15:59.502.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterEvan Williams
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListNo PTMs are included in the dataset
InstrumentTripleTOF 5600
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-09-19 03:02:50ID requested
12021-11-30 12:15:59announced
Publication List
Dataset with its publication pending
Keyword List
curator keyword: Biological
submitter keyword: Mouse tissue aging
Contact List
Ruedi Aebersold
contact affiliationInstitue of Molecular Systems Biology ETH Zurich, Switzerland ( lab head ) (Alternate contact: Johan Auwerx, admin.auwerx@epfl.ch ; EPFL, Switzerland (lab head))
contact emailaebersold@imsb.ethz.ch
lab head
Evan Williams
contact affiliationETH Zurich
contact emailevan.williams@uni.lu
dataset submitter
Full Dataset Link List
Dataset FTP location
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