Suppr超能文献

基于四唑的探针用于综合表型筛选、基于亲和力的蛋白质组分析以及癌症生物标志物的灵敏检测。

Tetrazole-Based Probes for Integrated Phenotypic Screening, Affinity-Based Proteome Profiling, and Sensitive Detection of a Cancer Biomarker.

机构信息

School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, 510632, China.

Molecular Recognition Research Center, Korea Institute of Science and Technology (KIST), Department of Biological Chemistry, University of Science & Technology, Republic of Korea.

出版信息

Angew Chem Int Ed Engl. 2017 Nov 20;56(47):15044-15048. doi: 10.1002/anie.201709584. Epub 2017 Oct 23.

Abstract

Target-identification phenotypic screening has been a powerful approach in drug discovery; however, it is hindered by difficulties in identifying the underlying cellular targets. To address this challenge, we have combined phenotypic screening of a fully functionalized small-molecule library with competitive affinity-based proteome profiling to map and functionally characterize the targets of screening hits. Using this approach, we identified ANXA2, PDIA3/4, FLAD1, and NOS2 as primary cellular targets of two bioactive molecules that inhibit cancer cell proliferation. We further demonstrated that a panel of probes can label and/or image annexin A2 (a cancer biomarker) from different cancer cell lines, thus providing opportunities for potential cancer diagnosis and therapy.

摘要

靶向鉴定表型筛选在药物发现中一直是一种强有力的方法;然而,它受到难以确定潜在细胞靶标的阻碍。为了解决这一挑战,我们将全功能小分子文库的表型筛选与基于竞争性亲和力的蛋白质组谱分析相结合,以定位和功能表征筛选命中的靶标。使用这种方法,我们确定了 ANXA2、PDIA3/4、FLAD1 和 NOS2 是两种抑制癌细胞增殖的生物活性分子的主要细胞靶标。我们进一步证明,一组探针可以标记和/或从不同癌细胞系成像膜联蛋白 A2(一种癌症生物标志物),从而为潜在的癌症诊断和治疗提供机会。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验