质谱法定量神经肽分析:生物发现的先进方法。

IF 3.1 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Angel Erbey Ibarra, Wenxin Wu, Haoran Zhang and Lingjun Li
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引用次数: 0

摘要

神经肽是一种重要的内源性信号分子,参与广泛的生物过程,包括神经传递、激素调节、免疫反应和压力管理。尽管它们很重要,但神经肽研究领域在历史上一直受到重大技术挑战的阻碍。这些因素包括它们在生物系统中的丰度低、翻译后修饰的多样性和复杂性、动态表达模式以及易降解。因此,传统的蛋白质组学方法往往不能准确地表征神经肽,强调需要专门的方法来解锁其生物学和翻译潜力。这篇综述评估了最先进的定量质谱(MS)为基础的肽组学,强调他们对神经肽分析的影响。我们强调了无标记和基于标记的定量、串联质谱采集和质谱成像的策略如何为捕获神经肽及其修饰的景观提供前所未有的灵敏度和吞吐量。重要的是,该综述将技术创新与实际应用联系起来,强调了如何利用这些方法来发现新的神经肽并阐明它们在系统生物学和疾病途径中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantitative neuropeptide analysis by mass spectrometry: advancing methodologies for biological discovery

Quantitative neuropeptide analysis by mass spectrometry: advancing methodologies for biological discovery

Neuropeptides are critical endogenous signaling molecules involved in a wide range of biological processes, including neurotransmission, hormonal regulation, immune responses, and stress management. Despite their importance, the field of neuropeptide research has been historically hampered by significant technical challenges. These include their low abundance in biological systems, diverse and complex post-translational modifications, dynamic expression patterns, and susceptibility to degradation. As such, traditional proteomics approaches often fall short of accurately characterizing neuropeptides, underscoring the need for specialized methodologies to unlock their biological and translational potential. This review evaluates state-of-the-art quantitative mass spectrometry (MS)-based peptidomics, emphasizing their impact on neuropeptide analysis. We highlight how strategies in label-free and label-based quantitation, tandem MS acquisition, and mass spectrometry imaging provide unprecedented sensitivity and throughput for capturing the landscape of neuropeptides and their modifications. Importantly, the review bridges technological innovation with practical applications, highlighting how these approaches have been utilized to uncover novel neuropeptides and elucidate their roles in systems biology and disease pathways.

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来源期刊
CiteScore
6.10
自引率
0.00%
发文量
128
审稿时长
10 weeks
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