Suppr超能文献

基于亲和结合的双光子荧光探针在活细胞和临床胶质瘤组织中对单胺氧化酶A的超快检测

Ultrafast Detection of Monoamine Oxidase A in Live Cells and Clinical Glioma Tissues Using an Affinity Binding-Based Two-Photon Fluorogenic Probe.

作者信息

Zhang Congcong, Fang Haixiao, Du Wei, Zhang Duoteng, Qu Yunwei, Tang Fang, Ding Aixiang, Huang Kai, Peng Bo, Li Lin, Huang Wei

机构信息

The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China.

Future Display Institute in Xiamen, Xiamen, 361005, China.

出版信息

Angew Chem Int Ed Engl. 2023 Oct 16;62(42):e202310134. doi: 10.1002/anie.202310134. Epub 2023 Aug 28.

Abstract

Abnormal expression of monoamine oxidase A (MAO-A) has been implicated in the development of human glioma, making MAO-A a promising target for therapy. Therefore, a rapid determination of MAO-A is critical for diagnosis. Through in silico screening of two-photon fluorophores, we discovered that a derivative of N,N-dimethyl-naphthalenamine (pre-mito) can effectively fit into the entrance of the MAO-A cavity. Substitutions on the N-pyridine not only further explore the MAO-A cavity, but also enable mitochondrial targeting ability. The aminopropyl substituted molecule, CD1, showed the fastest MAO-A detection (within 20 s), high MAO-A affinity and selectivity. It was also used for in situ imaging of MAO-A in living cells, enabling a comparison of the MAO-A content in human glioma and paracancerous tissues. Our results demonstrate that optimizing the affinity binding-based fluorogenic probes significantly improves their detection rate, providing a general approach for rapid detection probe design and optimization.

摘要

单胺氧化酶A(MAO-A)的异常表达与人类胶质瘤的发生发展有关,这使得MAO-A成为一个有前景的治疗靶点。因此,快速测定MAO-A对诊断至关重要。通过对双光子荧光团进行计算机筛选,我们发现N,N-二甲基萘胺(前线粒体)的一种衍生物能够有效地契合MAO-A腔的入口。在N-吡啶上进行取代不仅能进一步探索MAO-A腔,还能赋予线粒体靶向能力。氨基丙基取代的分子CD1对MAO-A的检测速度最快(20秒内),具有高MAO-A亲和力和选择性。它还被用于活细胞中MAO-A的原位成像,从而能够比较人类胶质瘤组织和癌旁组织中的MAO-A含量。我们的结果表明,优化基于亲和力结合的荧光探针可显著提高其检测率,为快速检测探针的设计和优化提供了一种通用方法。

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