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Expanding the landscape of aging via orbitrap astral mass spectrometry and tandem mass tag integration

Author

Listed:
  • Gregory R. Keele

    (RTI International)

  • Yue Dou

    (University of Virginia)

  • Seth P. Kodikara

    (University of Virginia)

  • Erin D. Jeffery

    (University of Virginia)

  • Dina L. Bai

    (University of Virginia)

  • Erik Hultenius

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Zichen Gao

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Joao A. Paulo

    (Harvard Medical School)

  • Steven P. Gygi

    (Harvard Medical School)

  • Xiao Tian

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Tian Zhang

    (University of Virginia)

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.

Suggested Citation

  • Gregory R. Keele & Yue Dou & Seth P. Kodikara & Erin D. Jeffery & Dina L. Bai & Erik Hultenius & Zichen Gao & Joao A. Paulo & Steven P. Gygi & Xiao Tian & Tian Zhang, 2025. "Expanding the landscape of aging via orbitrap astral mass spectrometry and tandem mass tag integration," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60022-x
    DOI: 10.1038/s41467-025-60022-x
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    References listed on IDEAS

    as
    1. Qingwen Wang & Xinwen Ding & Zhixiao Xu & Boqian Wang & Aiting Wang & Liping Wang & Yi Ding & Sunfengda Song & Youming Chen & Shuang Zhang & Lai Jiang & Xianting Ding, 2024. "The mouse multi-organ proteome from infancy to adulthood," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Masaki Takasugi & Yoshiki Nonaka & Kazuaki Takemura & Yuya Yoshida & Frank Stein & Jennifer J. Schwarz & Jun Adachi & Junko Satoh & Shinji Ito & Gregory Tombline & Seyed Ali Biashad & Andrei Seluanov , 2024. "An atlas of the aging mouse proteome reveals the features of age-related post-transcriptional dysregulation," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
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