PDF(Pubmed)
Abstract：
Analysis of the glutamine metabolic pathway has taken a special place in metabolomics research in recent years, given its important role in cell biosynthesis and bioenergetics across several disorders, especially in cancer cell survival. The science of metabolomics addresses the intricate intracellular metabolic network by exploring and understanding how cells function and respond to external or internal perturbations to identify potential therapeutic targets. However, despite recent advances in metabolomics, monitoring the kinetics of a metabolic pathway in a living cell in situ, real-time and holistically remains a significant challenge.
This review paper explores the range of analytical approaches for monitoring metabolic pathways, as well as physicochemical modeling techniques, with a focus on glutamine metabolism. We discuss the advantages and disadvantages of each method and explore the potential of label-free Raman microspectroscopy, in conjunction with kinetic modeling, to enable real-time and in situ monitoring of the cellular kinetics of the glutamine metabolic pathway.
Given its important role in cell metabolism, the ability to monitor and model the glutamine metabolic pathways are highlighted. Novel, label free approaches have the potential to revolutionise metabolic biosensing, laying the foundation for a new paradigm in metabolomics research and addressing the challenges in monitoring metabolic pathways in living cells.
This review paper explores the range of analytical approaches for monitoring metabolic pathways, as well as physicochemical modeling techniques, with a focus on glutamine metabolism. We discuss the advantages and disadvantages of each method and explore the potential of label-free Raman microspectroscopy, in conjunction with kinetic modeling, to enable real-time and in situ monitoring of the cellular kinetics of the glutamine metabolic pathway.
Given its important role in cell metabolism, the ability to monitor and model the glutamine metabolic pathways are highlighted. Novel, label free approaches have the potential to revolutionise metabolic biosensing, laying the foundation for a new paradigm in metabolomics research and addressing the challenges in monitoring metabolic pathways in living cells.
摘要：
背景：近年来，谷氨酰胺代谢途径的分析在代谢组学研究中占有特殊的地位，鉴于它在几种疾病的细胞生物合成和生物能学中的重要作用，尤其是癌细胞的存活。代谢组学科学通过探索和理解细胞如何发挥功能并响应外部或内部扰动以识别潜在的治疗靶标来解决复杂的细胞内代谢网络。然而,尽管代谢组学最近取得了进展，原位监测活细胞中代谢途径的动力学，实时和整体仍然是一个重大挑战。
目的：这篇综述论文探讨了监测代谢途径的分析方法的范围，以及物理化学建模技术，专注于谷氨酰胺代谢。我们讨论了每种方法的优缺点，并探索了无标记拉曼显微光谱的潜力，结合动力学建模，实时和原位监测谷氨酰胺代谢途径的细胞动力学。
■鉴于其在细胞代谢中的重要作用，监测和模拟谷氨酰胺代谢途径的能力被强调.小说,无标签方法有可能彻底改变代谢生物传感，为代谢组学研究的新范式奠定基础，并解决监测活细胞代谢途径的挑战。
目的：这篇综述论文探讨了监测代谢途径的分析方法的范围，以及物理化学建模技术，专注于谷氨酰胺代谢。我们讨论了每种方法的优缺点，并探索了无标记拉曼显微光谱的潜力，结合动力学建模，实时和原位监测谷氨酰胺代谢途径的细胞动力学。
■鉴于其在细胞代谢中的重要作用，监测和模拟谷氨酰胺代谢途径的能力被强调.小说,无标签方法有可能彻底改变代谢生物传感，为代谢组学研究的新范式奠定基础，并解决监测活细胞代谢途径的挑战。
