Institute of Biomedical Chemistry, Moscow 119121, Russia.
Int J Mol Sci. 2023 Feb 19;24(4):4155. doi: 10.3390/ijms24044155.
Increasing attention has been focused on the study of protein-metabolite interactions (PMI), which play a key role in regulating protein functions and directing an orchestra of cellular processes. The investigation of PMIs is complicated by the fact that many such interactions are extremely short-lived, which requires very high resolution in order to detect them. As in the case of protein-protein interactions, protein-metabolite interactions are still not clearly defined. Existing assays for detecting protein-metabolite interactions have an additional limitation in the form of a limited capacity to identify interacting metabolites. Thus, although recent advances in mass spectrometry allow the routine identification and quantification of thousands of proteins and metabolites today, they still need to be improved to provide a complete inventory of biological molecules, as well as all interactions between them. Multiomic studies aimed at deciphering the implementation of genetic information often end with the analysis of changes in metabolic pathways, as they constitute one of the most informative phenotypic layers. In this approach, the quantity and quality of knowledge about PMIs become vital to establishing the full scope of crosstalk between the proteome and the metabolome in a biological object of interest. In this review, we analyze the current state of investigation into the detection and annotation of protein-metabolite interactions, describe the recent progress in developing associated research methods, and attempt to deconstruct the very term "interaction" to advance the field of interactomics further.
越来越多的人开始关注蛋白质-代谢物相互作用(PMI)的研究,因为 PMI 在调节蛋白质功能和指导细胞过程交响乐中起着关键作用。由于许多这种相互作用的寿命非常短暂,因此需要非常高的分辨率才能检测到它们,这使得 PMI 的研究变得复杂。与蛋白质-蛋白质相互作用一样,蛋白质-代谢物相互作用的定义也不明确。现有的检测蛋白质-代谢物相互作用的方法还存在一个局限性,即识别相互作用的代谢物的能力有限。因此,尽管质谱技术的最新进展可以常规地鉴定和定量数千种蛋白质和代谢物,但它们仍需要进一步改进,以提供生物分子的完整清单,以及它们之间的所有相互作用。旨在破译遗传信息实施情况的多组学研究通常以代谢途径变化的分析为终点,因为它们构成了最具信息量的表型层之一。在这种方法中,关于 PMI 的知识的数量和质量对于确定感兴趣的生物对象中蛋白质组和代谢组之间的全部串扰范围变得至关重要。在这篇综述中,我们分析了目前对蛋白质-代谢物相互作用的检测和注释的研究状况,描述了开发相关研究方法的最新进展,并尝试解构“相互作用”一词,以进一步推进相互作用组学领域的发展。