基于核磁共振的新方法揭示癌细胞中细胞毒性金药物的“代谢指纹”。

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Veronica Ghini, Ana Isabel Tristán, Giorgio Di Paco, Lara Massai, Michele Mannelli, Tania Gamberi, Ignacio Fernández, Antonio Rosato, Paola Turano, Luigi Messori
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引用次数: 0

摘要

途径富集和代谢物聚类分析相结合用于解释非靶向1H NMR代谢组学数据,从而能够对一组已知细胞毒性金(I)和金(III)化合物在A2780卵巢癌细胞中诱导的作用进行生化信息比较。对主要化合物类别的最失调途径的识别突出了导致共同生物效应的特定化学特征。所提出的方法可能更广泛地适用于金属基候选药物文库的筛选,金属基候选药物文库的筛选总是因其多靶点性质而复杂,并支持对其代谢作用的全面解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel NMR-Based Approach to Reveal the 'Metabolic Fingerprint' of Cytotoxic Gold Drugs in Cancer Cells.

A combination of pathway enrichment and metabolite clustering analysis is used to interpret untargeted 1H NMR metabolomics data, enabling a biochemically informative comparison of the effects induced by a panel of known cytotoxic gold(I) and gold(III) compounds in A2780 ovarian cancer cells. The identification of the most dysregulated pathways for the major classes of compounds highlights specific chemical features that lead to common biological effects. The proposed approach may have broader applicability to the screening of metal-based drug candidate libraries, which is always complicated by their multitarget nature, and support the comprehensive interpretation of their metabolic actions.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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