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贯穿时间的天然产物分析:从过去的成就到未来的前景

Natural Products Analysis Through Time: From Past Achievements to Future Prospects.

作者信息

Verpoorte Robert, Kim Hye Kyong

机构信息

Natural Products Lab, Institute of Biology, Leiden University, Leiden, The Netherlands.

Fytagoras BV, Leiden, The Netherlands.

出版信息

Methods Mol Biol. 2025;2895:3-13. doi: 10.1007/978-1-0716-4350-1_1.

DOI:10.1007/978-1-0716-4350-1_1
PMID:39885019
Abstract

This introductory chapter traces the evolution of (bio)chemical assays, emphasizing the critical role of robust protocols in ensuring reproducibility-a fundamental aspect of scientific research. With the advent of systems biology, the need for standardized methods has intensified, particularly for integrating vast datasets in open-access formats. The historical progression from basic plant morphology to advanced chromatographic and spectroscopic techniques in phytochemistry highlights the necessity for precise, reproducible protocols.As metabolomics advances, there is a renewed focus on targeted approaches, shifting from broad, untargeted analyses to more specific, hypothesis-driven studies. This chapter also explores the future of analytical techniques, including cellomics and real-time metabolic flux measurements, which offer new insights into dynamic biochemical processes.Ultimately, this introduction underscores the importance of innovation in developing new methods that address current scientific challenges, particularly in pharmacognosy and analytical phytochemistry. The chapter sets the stage for the broader discussion on the necessity of well-designed protocols that facilitate effective data sharing and collaboration across research disciplines.

摘要

本章引言追溯了(生物)化学分析方法的演变,强调了可靠方案在确保可重复性方面的关键作用,而可重复性是科学研究的一个基本方面。随着系统生物学的出现,对标准化方法的需求日益增加,特别是对于以开放获取格式整合大量数据集而言。从植物化学中从基本植物形态学到先进的色谱和光谱技术的历史发展,凸显了精确、可重复方案的必要性。随着代谢组学的发展,人们重新关注靶向方法,从广泛的非靶向分析转向更具体的、由假设驱动的研究。本章还探讨了分析技术的未来,包括细胞组学和实时代谢通量测量,这些技术为动态生化过程提供了新的见解。最终,本引言强调了创新在开发应对当前科学挑战的新方法中的重要性,特别是在生药学和分析植物化学领域。本章为更广泛地讨论精心设计的方案的必要性奠定了基础,这些方案有助于跨研究学科进行有效的数据共享和合作。

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本文引用的文献

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Realization of cellomics to dive into the whole-body or whole-organ cell cloud.实现细胞组学以深入研究全身或全器官细胞群。
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Single-cell multi-omics in the medicinal plant Catharanthus roseus.药用植物长春花的单细胞多组学研究。
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Reaction of the Phytochemistry Community to Green Chemistry: Insights Obtained Since 1990.植物化学界对绿色化学的反应:1990年以来的见解
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Natural Products Drug Discovery: On Silica or In-Silico?天然产物药物发现:基于硅胶还是虚拟筛选?
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Guide to Metabolomics Analysis: A Bioinformatics Workflow.代谢组学分析指南:一种生物信息学工作流程。
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Separation Multidimensionality for Improved Sample Characterization-Is It Worth the Effort?用于改进样本表征的分离多维性——是否值得付出努力?
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Illuminating the dark matter in metabolomics.揭示代谢组学中的暗物质
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