Navigating the landscape of plant proteomics.

IF 9.3 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Integrative Plant Biology Pub Date : 2025-01-15 DOI:10.1111/jipb.13841
Tian Sang, Zhen Zhang, Guting Liu, Pengcheng Wang
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Abstract

In plants, proteins are fundamental to virtually all biological processes, such as photosynthesis, signal transduction, metabolic regulation, and stress responses. Studying protein distribution, function, modifications, and interactions at the cellular and tissue levels is critical for unraveling the complexities of these biological pathways. Protein abundance and localization are highly dynamic and vary widely across the proteome, presenting a challenge for global protein quantification and analysis. Mass spectrometry-based proteomics approaches have proven to be powerful tools for addressing this complex issue. In this review, we summarize recent advancements in proteomics research and their applications in plant biology, with an emphasis on the current state and challenges of studying post-translational modifications, single-cell proteomics, and protein-protein interactions. Additionally, we discuss future prospects for plant proteomics, highlighting potential opportunities that proteomics technologies offer in advancing plant biology research.

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导航植物蛋白质组学的景观。
在植物中,蛋白质几乎是所有生物过程的基础,如光合作用、信号转导、代谢调节和应激反应。在细胞和组织水平上研究蛋白质的分布、功能、修饰和相互作用对于揭示这些生物学途径的复杂性至关重要。蛋白质丰度和定位是高度动态的,并且在蛋白质组中变化很大,这对全球蛋白质定量和分析提出了挑战。基于质谱的蛋白质组学方法已被证明是解决这一复杂问题的有力工具。本文综述了蛋白质组学研究的最新进展及其在植物生物学中的应用,重点介绍了蛋白质组学在翻译后修饰、单细胞蛋白质组学和蛋白质-蛋白质相互作用等方面的研究现状和面临的挑战。此外,我们还讨论了植物蛋白质组学的未来前景,强调了蛋白质组学技术在推进植物生物学研究方面提供的潜在机会。
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
Journal of Integrative Plant Biology
Journal of Integrative Plant Biology 生物-生化与分子生物学
CiteScore
18.00
自引率
5.30%
发文量
220
审稿时长
3 months
期刊介绍: Journal of Integrative Plant Biology is a leading academic journal reporting on the latest discoveries in plant biology.Enjoy the latest news and developments in the field, understand new and improved methods and research tools, and explore basic biological questions through reproducible experimental design, using genetic, biochemical, cell and molecular biological methods, and statistical analyses.
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