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The Spatiotemporal Proteome Landscape of Aging: Structural determinants of age-sensitive proteome remodeling
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The Spatiotemporal Proteome Landscape of Aging: Structural determinants of age-sensitive proteome remodeling

Seungmin Yoo, Lingraj Vannur, Liying Li +9 more
March 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.02.26.708310
94
%
Reproducible
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It ranks in the top 1% of preprints assessed in Systems Biology this quarter.
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Why this is interesting

This proteome-wide single-cell atlas of aging establishes that intrinsic structural features dictate which proteins mislocalize with age, revealing spatial proteome breakdown as structurally encoded—and making protein vulnerability to aging predictable from structure alone.

QED claims analysis

Summary

Systematic single-cell imaging of 5,661 proteins across yeast replicative aging reveals widespread spatial proteome reorganization, concentration changes, and interaction network remodeling during aging, with intrinsic structural features—particularly surface-exposed cysteines and lysines—predicting protein susceptibility to age-associated changes across species and providing a biophysical basis for proteome breakdown during aging.

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Main Claim 1 –

Robotic pipeline enables proteome-wide enrichment and imaging of aged yeast

Supporting evidence

  • DeepAge counts bud scars to infer age with 93% accuracy
  • 3D ResNet ensemble achieves 95% accurate subcellular localization classification
Main Claim 2 –

Aging blurs organelle boundaries via widespread proteome spatial reorganization

Supporting evidence

  • 215 proteins relocalize across compartments, often toward the nucleus
  • Relocalization shows temporal motifs with declining membrane contact integrity
Main Claim 3 –

Organelle expansion inflates protein amounts while diluting local concentrations

Main Claim 4 –

Aging rewires protein interactions, weakening complexes and altering accessibility

Abstract

Aging is marked by a decline in cellular functions accompanied by widespread changes in mRNA and protein abundance, yet whether aging broadly remodels subcellular protein localization and concentration—and why some proteins change while others remain stable—remains unclear. This gap matters because cellular function depends not only on expression levels but also on correct spatial organization. Using yeast replicative aging as a model, we built a robotic pipeline to enrich old cells from 5,661 strains, acquired 90 million single-cell 3D images, and applied machine learning to map proteome-wide changes in localization, concentration, and aggregation throughout aging. This age-resolved single-cell atlas uncovers widespread proteome remodeling and rewiring of protein interaction networks. Moreover, structural analysis reveals biophysical determinants of age-sensitive proteome remodeling across ages and species. Together, these results reveal a structure-encoded intrinsic principle underlying spatial proteome breakdown during aging and provide a resource to dissect mechanistic links among aging hallmarks.

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