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通过轨道阱星体质谱法和串联质量标签整合拓展衰老研究领域

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

作者信息

Keele Gregory R, Dou Yue, Kodikara Seth P, Jeffery Erin D, Bai Dina L, Hultenius Erik, Gao Zichen, Paulo Joao A, Gygi Steven P, Tian Xiao, Zhang Tian

机构信息

GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA.

Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA, USA.

出版信息

Nat Commun. 2025 May 22;16(1):4753. doi: 10.1038/s41467-025-60022-x.

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.

摘要

衰老导致生理功能逐渐衰退,这是由于基本生物学过程的恶化所致。虽然蛋白质组学为衰老机制提供了见解,但先前的研究在蛋白质组覆盖范围和寿命范围方面存在局限性。为了解决这个问题,我们将Orbitrap Astral质谱仪与多重串联质量标签(TMT)技术相结合,对C57BL/6JN小鼠的皮质、海马体、纹状体和肾脏的蛋白质组进行分析,每个组织定量8954至9376种蛋白质(总共12749种)。样本涵盖了两性和三个年龄组(3个月、12个月和20个月),代表了成年早期到晚期。为了提高TMT定量准确性,我们开发了一种基于肽谱匹配的过滤策略,该策略利用分辨率和信噪比阈值。我们的分析揭示了不同组织特异性的蛋白质丰度模式,肾脏中存在年龄和性别差异,而脑组织中主要是与年龄相关的变化。我们还确定了随年龄变化的线性和非线性蛋白质组轨迹,揭示了成年期寿命中复杂的蛋白质动态变化。将我们的研究结果与脑组织早期发育蛋白质组数据相结合,突出了与年龄相关的进一步不同轨迹,特别是在突触蛋白方面。这项研究为基于Orbitrap Astral的TMT分析提供了一个强大的数据分析工作流程,并扩展了对不同组织、年龄和性别的衰老的蛋白质组学理解。

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