Bartkowiak J, Kapuscinski J, Melamed M R, Darzynkiewicz Z
Experimental Cell Research and Investigative Cytology Laboratories, Sloan-Kettering Institute for Cancer Research, New York, NY 10021.
Proc Natl Acad Sci U S A. 1989 Jul;86(13):5151-4. doi: 10.1073/pnas.86.13.5151.
The nuclear chromatin binding sites of the antitumor drugs mitoxantrone, ametantrone, doxorubicin, mithramycin, and actinomycin D and the intercalating ligand ethidium were studied by polyacrylamide gel electrophoresis of the proteins released from rat liver nuclei in the presence and absence of these drugs in buffer of low ionic strength (10 mM NaCl). At 25-50 microM free ligand concentration, each drug produced a specific and reproducible pattern of extractable proteins of different molecular weight by (i) releasing new proteins, (ii) altering the quantity of particular extracted proteins, and/or (iii) selectively entrapping other proteins in the nuclei. Ethidium, up to 100 microM, did not affect release of proteins from the nuclei. These results indicate that each ligand either has different binding site(s) in chromatin or modulates chromatin structure in a specific way by changing the affinity of different sets of proteins for their respective binding sites, resulting in their selective extraction or entrapment. The lack of effect of ethidium indicates that intercalation of the ligand to DNA, per se, does not alter the release of nuclear proteins. If patterns of nuclear proteins selectively released or retained by antitumor drugs are found to correlate with biological activity, this type of analysis may be helpful in new drug design and screening.
在低离子强度(10 mM NaCl)缓冲液中,通过对存在和不存在这些药物的情况下从大鼠肝细胞核中释放的蛋白质进行聚丙烯酰胺凝胶电泳,研究了抗肿瘤药物米托蒽醌、氨甲蒽醌、阿霉素、光辉霉素和放线菌素D以及嵌入配体溴化乙锭的核染色质结合位点。在游离配体浓度为25 - 50 microM时,每种药物通过以下方式产生了具有特定且可重复的不同分子量可提取蛋白质模式:(i)释放新蛋白质,(ii)改变特定提取蛋白质的量,和/或(iii)选择性地将其他蛋白质截留在细胞核中。高达100 microM的溴化乙锭不影响细胞核中蛋白质的释放。这些结果表明,每种配体要么在染色质中具有不同的结合位点,要么通过改变不同蛋白质组对其各自结合位点的亲和力以特定方式调节染色质结构,从而导致它们的选择性提取或截留。溴化乙锭缺乏影响表明,配体嵌入DNA本身不会改变核蛋白的释放。如果发现抗肿瘤药物选择性释放或保留的核蛋白模式与生物活性相关,这种类型的分析可能有助于新药设计和筛选。