Suppr超能文献

针对 BRD3/BRD4 的环境敏感探针的构建用于肿瘤的成像和治疗。

Establishment of environment-sensitive probes targeting BRD3/BRD4 for imaging and therapy of tumor.

机构信息

College of Radiology, Shandong First Medical University, University & Shandong Academy of Medical Sciences, Taian, Shandong, 271016, China; Medical Science and Technology Innovation Center, Shandong First Medical University, Jinan, Shandong, 250117, China.

Department of Medicinal Chemistry, School of Pharmacy, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.

出版信息

Eur J Med Chem. 2023 Sep 5;257:115478. doi: 10.1016/j.ejmech.2023.115478. Epub 2023 May 29.

Abstract

The BET (bromo and extra-terminal) family proteins are epigenetic readers and master transcription coactivators, which have attracted great interests as cancer therapeutic targets. However, there are few developed labeling toolkits that can be applied for the dynamic studies of BET family proteins in living cells and tissue slices. In order to label and study the distribution of the BET family proteins in tumor cells and tumor tissues, a novel series of environment-sensitive fluorescent probes (6a-6c) were designed and evaluated for their labeling properties. Interestingly, 6a is capable of identifying tumor tissue slices and making a distinction between the tumor and normal tissues. Moreover, it can localize to the nuclear bodies in tumor slices just like BRD3 antibody. In addition, it also played an anti-tumor role through the induction of apoptosis. All these features render 6a may compatible for immunofluorescent studies and future cancer diagnosis, and guide for the discovery of new anticancer drugs.

摘要

BET(溴结构域和末端)家族蛋白是表观遗传读码器和主要转录共激活因子,作为癌症治疗靶点引起了极大的兴趣。然而,目前开发的用于活细胞和组织切片中 BET 家族蛋白动态研究的标记工具包很少。为了标记和研究 BET 家族蛋白在肿瘤细胞和肿瘤组织中的分布,设计并评估了一系列新型环境敏感型荧光探针(6a-6c)用于其标记特性。有趣的是,6a 能够识别肿瘤组织切片,并区分肿瘤和正常组织。此外,它可以像 BRD3 抗体一样定位于肿瘤切片的核体内。此外,它还通过诱导细胞凋亡发挥抗肿瘤作用。所有这些特征表明,6a 可能适用于免疫荧光研究和未来的癌症诊断,并为发现新的抗癌药物提供指导。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验