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通过对福尔根染色细胞核进行计算机辅助显微镜图像分析来确定抗癌药物的作用机制。

Determination of the mechanism of action of anticancer drugs by means of the computer-assisted microscope image analysis of Feulgen-stained nuclei.

作者信息

Pauwels O, Atassi G, Pasteels J L, Kiss R

机构信息

Laboratoire de Pharmacologie Cellulaire, Institut de Pharmacie, Université Libre de Bruxelles, Belgium.

出版信息

J Pharmacol Toxicol Methods. 1997 Mar;37(2):105-15. doi: 10.1016/s1056-8719(97)00006-3.

Abstract

The antitumoral effects of 30 drugs was monitored in vitro on three neoplastic cell lines. These 30 drugs belonged to various pharmacological classes which included alkylating agents, antimetabolites, Vinca alkaloids, topoisomerase II inhibitors, and intercalating agents. The aim of the present work is to use the same methodology to characterize the drug-induced effects at several biological levels. The drug-induced modifications were, therefore, monitored by means of the digital cell image analysis of Feulgen-stained nuclei. This methodology enabled the cell cycle kinetics to be studied. Furthermore, the numerical data quantitatively describing chromatin patterns were submitted to multivariate (principal-components) analyses, with the canonical transformation of the data. Statistical analysis shows that each pharmacological class of anticancer drugs induces specific modifications to the chromatin patterns. The present study, therefore, shows that it is possible to identify distinct classes of antineoplastic drugs on the basis of their mechanisms of action by means of the quantitative chromatin pattern description of Feulgen-stained nuclei.

摘要

在体外对三种肿瘤细胞系监测了30种药物的抗肿瘤作用。这30种药物属于不同的药理学类别,包括烷化剂、抗代谢物、长春花生物碱、拓扑异构酶II抑制剂和嵌入剂。本研究的目的是使用相同的方法在几个生物学水平上表征药物诱导的效应。因此,通过对福尔根染色细胞核的数字细胞图像分析来监测药物诱导的变化。这种方法能够研究细胞周期动力学。此外,将定量描述染色质模式的数值数据进行多变量(主成分)分析,并对数据进行典型变换。统计分析表明,每类抗癌药物都会对染色质模式产生特定的改变。因此,本研究表明,通过对福尔根染色细胞核的染色质模式进行定量描述,可以根据其作用机制识别不同类别的抗肿瘤药物。

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