Targeted Quantitation of Phosphotyrosine-Containing Proteins in T-Cell Receptor Signaling Using a SureQuant-Based Mass Spectrometry Approach

IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-08-05 DOI:10.1002/pmic.70023
Firdous A. Bhat, Husheng Ding, Dong-Gi Mun, Jane A. Peterson, Mary Cristine Charlesworth, Richard K. Kandasamy, Akhilesh Pandey
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引用次数: 0

Abstract

T-cell receptor (TCR) signaling plays a crucial role in various biological processes and is usually studied using global mass spectrometry-based phosphoproteomic studies. Despite advancements in targeted mass spectrometry-based assays for protein quantification, their application in studying signaling processes, for example, reproducible measurements of post-translational modifications (PTMs) such as phosphorylation, remains limited. Tyrosine phosphorylation is critical for many signaling pathways but presents challenges due to the low abundance of phosphotyrosine-containing peptides. Conventional untargeted methods often encounter data gaps when analyzing large sample sets, particularly for low-abundance peptides. To address this issue, a targeted proteomics method called “SureQuant” was employed, which relies on triggered data acquisition with heavy isotope-labeled peptides. This method has been shown to provide sensitive and reproducible quantification of low-abundance peptides. Here we describe the development of a SureQuant-based method to quantify phosphotyrosine peptides that are involved in the TCR signaling pathway. To monitor the change in phosphotyrosine signals upon activation, the T-cells were stimulated with anti-CD3/CD28 antibodies. We successfully quantified changes in important phosphotyrosine peptides in primary T-cells upon stimulation with anti-CD3/CD28 antibodies. This study showcases the ability of the SureQuant approach to accurately quantify low-abundance phosphotyrosine peptides, highlighting its broader potential to study a diverse set of PTMs in physiological or clinical settings.

Summary

  • T-cell receptor (TCR) signaling plays a fundamental role in immune responses, regulating T-cell activation, differentiation, and function. While tyrosine phosphorylation is a key regulatory mechanism in this pathway, the low abundance of phosphotyrosine peptides presents a major challenge for their detection and quantification in complex biological samples. By employing the SureQuant targeted mass spectrometry approach, we achieved highly sensitive and reproducible quantification of key phosphotyrosine sites involved in T-cell activation.

  • This study provides a systematic view of TCR signaling dynamics, revealing distinct phosphorylation patterns across different activation timepoints. Our findings demonstrate the effectiveness of SureQuant in quantifying low-abundance, post-translationally modified peptides, offering a valuable tool for studying signaling pathways with greater precision.

  • Additionally, this methodological framework can be extended to investigate other signaling networks, immune cell functions, and disease-associated phosphotyrosine modifications.

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使用基于定量的质谱方法靶向定量t细胞受体信号中含有磷酸酪氨酸的蛋白质
t细胞受体(TCR)信号在各种生物过程中起着至关重要的作用,通常使用基于全局质谱的磷蛋白质组学研究来研究。尽管基于靶向质谱的蛋白质定量分析取得了进展,但它们在研究信号过程中的应用仍然有限,例如,对磷酸化等翻译后修饰(PTMs)的可重复测量。酪氨酸磷酸化对许多信号通路至关重要,但由于含磷酸酪氨酸肽的丰度较低,因此存在挑战。传统的非靶向方法在分析大样本集时经常遇到数据缺口,特别是对于低丰度的肽。为了解决这个问题,采用了一种名为“SureQuant”的靶向蛋白质组学方法,该方法依赖于重同位素标记肽的触发数据采集。该方法已被证明提供敏感和可重复的定量低丰度肽。在这里,我们描述了一种基于sureant的方法来量化参与TCR信号通路的磷酸酪氨酸肽的发展。为了监测激活后磷酸酪氨酸信号的变化,用抗cd3 /CD28抗体刺激t细胞。我们成功地量化了在抗cd3 /CD28抗体刺激下原代t细胞中重要磷酸酪氨酸肽的变化。这项研究展示了SureQuant方法准确量化低丰度磷酸酪氨酸肽的能力,突出了其在生理或临床环境中研究多种ptm的更广泛潜力。t细胞受体(T-cell receptor, TCR)信号在免疫应答中起着重要作用,调控t细胞的活化、分化和功能。虽然酪氨酸磷酸化是这一途径的关键调控机制,但磷酸酪氨酸肽的低丰度对其在复杂生物样品中的检测和定量提出了主要挑战。通过采用SureQuant靶向质谱法,我们实现了高灵敏度和可重复性的定量分析参与t细胞活化的关键磷酸酪氨酸位点。本研究提供了TCR信号动力学的系统视图,揭示了不同激活时间点的不同磷酸化模式。我们的研究结果证明了SureQuant在定量低丰度、翻译后修饰肽方面的有效性,为更精确地研究信号通路提供了有价值的工具。此外,该方法框架可以扩展到研究其他信号网络、免疫细胞功能和疾病相关的磷酸酪氨酸修饰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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