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首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >A comprehensive strategy for studying protein-metabolite interactions by metabolomics and native mass spectrometry
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A comprehensive strategy for studying protein-metabolite interactions by metabolomics and native mass spectrometry

机译:研究代谢组和天然质谱学研究蛋白质代谢物相互作用的综合策略

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摘要

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 (PPAR gamma) 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 PPAR gamma, 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 PPAR gamma-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 PPAR gamma and LPCs. It was found that the PPAR gamma-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.
机译:蛋白质代谢物相互作用在生物系统中许多细胞和生理过程中起重要作用。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。在该研究中,通过组合具有天然质谱的组合性质平台与天然质谱相结合的新综合策略,用于研究蛋白质代谢物相互作用。过氧化物体增殖物激活的受体γ(PPARγ)是一种脂质结合的核受体,其在调节脂肪酸氧化和脂质代谢方面发挥关键作用,该脂质代谢被选择为模型蛋白。七种代谢物,包括Lyso-磷脂基胆碱(LPC)16:0,LPC18:0,LPC18:1,花生酸,油酸,亚油酸和棕榈酰酸(P <0.05)具有与PPARγ的可能的相互作用,通过使用未标准的代谢组种方法首次被发现将这些LPC作为候选配体。基于15T傅立叶变换离子回旋共振谱法的天然质谱法用于直接检测PPARγ-LPCS复合物以获得其化学计量和动力学常数。进一步利用等温滴定热量,圆形二色谱和分子建模,以研究PPARγ和LPC之间的相互作用的热力学,构象和结合​​机制。发现PPARγ-LPC相互作用是吸热过程,这些LPC具有类似的结合常数,其化学计量为1:1。新的策略可以提供一种非常有用的映射和鉴定生物系统中未知蛋白质代谢物相互作用的方法。

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