ArticleNature communications2025
Expanding the landscape of aging via orbitrap astral mass spectrometry and tandem mass tag integration.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Circulating extracellular vesicles in plasma carry accessible molecular signatures of aging in mice.bioRxiv : the preprint server for biology · 2026Article
- Multimodal analysis of molecular remodeling in aging spleen identified global and cell type specific changes.bioRxiv : the preprint server for biology · 2026Article
- Proximity labeling strategies in Caenorhabditis elegans: a comprehensive review.Cell communication and signaling : CCS · 2026Review
- Spatial Mass Spectrometry-Based Proteomic Analysis of Normal-Appearing Glomeruli from Young and Old Adults.Kidney360 · 2025Article
- SICyLIA-cTMT dissects redox proteome dynamics with high accuracy and depth at microgram scale.Cell reports methods · 2025Article
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11 authors.
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Abstract
Aging results in a progressive decline in physiological function due to the deterioration of essential biological processes. While proteomics offers insights into aging mechanisms, prior studies are limited in proteome coverage and lifespan range. To address this, we integrate the Orbitrap Astral Mass Spectrometer with the multiplex tandem mass tag (TMT) technology to profile the proteomes of cortex, hippocampus, striatum and kidney in the C57BL/6JN mice, quantifying 8,954 to 9,376 proteins per tissue (12,749 total). Samples spanned both sexes and three age groups (3, 12, and 20 months), representing early to late adulthood. To improve TMT quantitation accuracy, we develop a peptide-spectrum match-based filtering strategy that leverages resolution and signal-to-noise thresholds. Our analysis uncovers distinct tissue-specific patterns of protein abundance, with age and sex differences in the kidney and primarily age-related changes in brain tissues. We also identify both linear and non-linear proteomic trajectories with age, revealing complex protein dynamics over the adult lifespan. Integrating our findings with early developmental proteomic data from brain tissues highlights further divergent age-related trajectories, particularly in synaptic proteins. This study provides a robust data analysis workflow for Orbitrap Astral-based TMT analysis and expands the proteomic understanding of aging across tissues, ages, and sexes.
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