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@ARTICLE{Scifo:280964,
      author       = {Scifo, Enzo and Morsy, Sarah and Liu, Ting and Xie, Kan and
                      Schaaf, Kristina and Bano, Daniele and Ehninger, Dan},
      title        = {{P}roteomic aging signatures across mouse organs and life
                      stages.},
      journal      = {The EMBO journal},
      volume       = {44},
      number       = {16},
      issn         = {0261-4189},
      address      = {[London]},
      publisher    = {Nature Publishing Group UK},
      reportid     = {DZNE-2025-01046},
      pages        = {4631 - 4660},
      year         = {2025},
      abstract     = {Aging is associated with the accumulation of molecular
                      damage, functional decline, increasing disease prevalence,
                      and ultimately mortality. Although our system-wide
                      understanding of aging has significantly progressed at the
                      genomic and transcriptomic levels, the availability of
                      large-scale proteomic datasets remains limited. To address
                      this gap, we have conducted an unbiased quantitative
                      proteomic analysis in male C57BL/6J mice, examining eight
                      key organs (brain, heart, lung, liver, kidney, spleen,
                      skeletal muscle, and testis) across six life stages (3, 5,
                      8, 14, 20, and 26-month-old animals). Our results reveal
                      age-associated organ-specific as well as systemic proteomic
                      alterations, with the earliest and most extensive changes
                      observed in the kidney and spleen, followed by liver and
                      lung, while the proteomic profiles of brain, heart, testis,
                      and skeletal muscle remain more stable. Isolation of the
                      non-blood-associated proteome allowed us to identify
                      organ-specific aging processes, including oxidative
                      phosphorylation in the kidney and lipid metabolism in the
                      liver, alongside shared aging signatures. Trajectory and
                      network analyses further reveal key protein hubs linked to
                      age-related proteomic shifts. These results provide a
                      system-level resource of protein changes during aging in
                      mice, and identify potential molecular regulators of
                      age-related decline.},
      keywords     = {Aging (Other) / Mass Spectrometry (Other) / Mouse Organs
                      (Other) / Protein Trajectories (Other) / SureQuant (Other)},
      cin          = {AG Ehninger / AG Bano},
      ddc          = {570},
      cid          = {I:(DE-2719)1013005 / I:(DE-2719)1013003},
      pnm          = {352 - Disease Mechanisms (POF4-352) / 351 - Brain Function
                      (POF4-351)},
      pid          = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-351},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40664891},
      pmc          = {pmc:PMC12361549},
      doi          = {10.1038/s44318-025-00509-x},
      url          = {https://pub.dzne.de/record/280964},
}