CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Talanta. 2019 Mar 1;194:63-72. doi: 10.1016/j.talanta.2018.10.010. Epub 2018 Oct 10.
Protein-metabolite interactions play important roles in many cellular and physiological processes in biological systems. However, the lack of effective research approaches impedes the understanding of the protein-metabolite interactions. In this study, a novel comprehensive strategy by combining metabolomics platform with native mass spectrometry was developed for investigating the protein-metabolite interactions. Peroxisome proliferator-activated receptors gamma (PPARγ) is a lipid-binding nuclear receptors that plays a key role in regulating fatty-acid oxidation and lipid metabolism, which was selected as the model protein. Seven metabolites including lyso-phosphatidylcholine (LPC) 16:0, LPC18:0, LPC18:1, arachidonic acid, oleic acid, linoleic acid and palmitoleic acid (p < 0.05) were found to have the possible interactions with the PPARγ, these LPCs were discovered as candidate ligands for the first time by using untargeted metabolomics method. Native mass spectrometry based on 15 T Fourier transform ion cyclotron resonance mass spectrometer was employed to directly detect the PPARγ-LPCs complexes to obtain their stoichiometry and kinetic constants. Isothermal titration calorimetry, circular dichroism spectrum and molecular modeling were further utilized to investigate the thermodynamics, conformation and binding mechanism of the interaction between PPARγ and LPCs. It was found that the PPARγ-LPC interaction was an endothermic process, and these LPCs have similar binding constants with stoichiometric number of 1:1. The novel strategy can provide a very useful approach for mapping and identifying unknown protein-metabolite interactions in biological systems.
蛋白质-代谢物相互作用在生物系统的许多细胞和生理过程中起着重要作用。然而,缺乏有效的研究方法阻碍了对蛋白质-代谢物相互作用的理解。在这项研究中,开发了一种将代谢组学平台与天然质谱相结合的新的综合策略,用于研究蛋白质-代谢物相互作用。过氧化物酶体增殖物激活受体γ (PPARγ) 是一种脂质结合核受体,在调节脂肪酸氧化和脂质代谢中起着关键作用,被选为模型蛋白。七种代谢物,包括溶血磷脂酰胆碱(LPC)16:0、LPC18:0、LPC18:1、花生四烯酸、油酸、亚油酸和棕榈油酸(p < 0.05),被发现与 PPARγ 有潜在的相互作用,这些 LPCs 是首次通过非靶向代谢组学方法发现的候选配体。基于 15 T 傅里叶变换离子回旋共振质谱的天然质谱被用于直接检测 PPARγ-LPCs 复合物,以获得它们的化学计量和动力学常数。等温滴定量热法、圆二色光谱和分子建模进一步用于研究 PPARγ 与 LPCs 之间相互作用的热力学、构象和结合机制。结果表明,PPARγ-LPC 相互作用是一个吸热过程,这些 LPCs 具有相似的结合常数和 1:1 的化学计量数。这种新策略可以为在生物系统中绘制和鉴定未知的蛋白质-代谢物相互作用提供一种非常有用的方法。