Department of Biochemistry and Center for Genomic Science Innovation, University of Wisconsin, Madison, Wisconsin 53706, USA.
Plant Physiol. 2022 May 3;189(1):12-22. doi: 10.1093/plphys/kiac039.
Over the past two decades, mass spectrometric (MS)-based proteomics technologies have facilitated the study of signaling pathways throughout biology. Nowhere is this needed more than in plants, where an evolutionary history of genome duplications has resulted in large gene families involved in posttranslational modifications and regulatory pathways. For example, at least 5% of the Arabidopsis thaliana genome (ca. 1,200 genes) encodes protein kinases and protein phosphatases that regulate nearly all aspects of plant growth and development. MS-based technologies that quantify covalent changes in the side-chain of amino acids are critically important, but they only address one piece of the puzzle. A more crucially important mechanistic question is how noncovalent interactions-which are more difficult to study-dynamically regulate the proteome's 3D structure. The advent of improvements in protein 3D technologies such as cryo-electron microscopy, nuclear magnetic resonance, and X-ray crystallography has allowed considerable progress to be made at this level, but these methods are typically limited to analyzing proteins, which can be expressed and purified in milligram quantities. Newly emerging MS-based technologies have recently been developed for studying the 3D structure of proteins. Importantly, these methods do not require protein samples to be purified and require smaller amounts of sample, opening the wider proteome for structural analysis in complex mixtures, crude lysates, and even in intact cells. These MS-based methods include covalent labeling, crosslinking, thermal proteome profiling, and limited proteolysis, all of which can be leveraged by established MS workflows, as well as newly emerging methods capable of analyzing intact macromolecules and the complexes they form. In this review, we discuss these recent innovations in MS-based "structural" proteomics to provide readers with an understanding of the opportunities they offer and the remaining challenges for understanding the molecular underpinnings of plant structure and function.
在过去的二十年中,基于质谱(MS)的蛋白质组学技术促进了生物学中信号通路的研究。在植物中,这种需求更为迫切,因为基因组重复的进化历史导致了大量涉及翻译后修饰和调控途径的基因家族。例如,拟南芥基因组的至少 5%(约 1200 个基因)编码蛋白激酶和蛋白磷酸酶,它们调节植物生长和发育的几乎所有方面。基于 MS 的技术可以定量分析氨基酸侧链的共价变化,这一点非常重要,但它们只解决了问题的一部分。更重要的是,非共价相互作用——更难研究——如何动态调节蛋白质组的 3D 结构,这是一个至关重要的机制问题。蛋白质 3D 技术的改进,如冷冻电子显微镜、核磁共振和 X 射线晶体学的出现,使得在这一水平上取得了相当大的进展,但这些方法通常仅限于分析可以表达和纯化毫克级别的蛋白质。最近开发了新的基于 MS 的技术来研究蛋白质的 3D 结构。重要的是,这些方法不需要对蛋白质样品进行纯化,所需的样品量也较少,从而为在复杂混合物、粗提物甚至完整细胞中对更广泛的蛋白质组进行结构分析开辟了道路。这些基于 MS 的方法包括共价标记、交联、热蛋白质组学分析和有限的蛋白水解,所有这些方法都可以利用现有的 MS 工作流程以及新兴的能够分析完整大分子及其形成的复合物的方法。在这篇综述中,我们讨论了基于 MS 的“结构”蛋白质组学的这些最新进展,以使读者了解它们提供的机会以及理解植物结构和功能的分子基础所面临的剩余挑战。