Liu Rongfeng, Liu Yu-Chih, Meng Junwei, Zhu Haiyan, Zhang Xuehong
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Shanghai ChemPartner Co. Ltd., 998 Halei Road, Shanghai, 201203, China.
Anal Bioanal Chem. 2017 Nov;409(28):6635-6642. doi: 10.1007/s00216-017-0617-y. Epub 2017 Sep 9.
The β-secretase (BACE1) initiates the generation of toxic amyloid-β peptide (Aβ) from amyloid-β precursor protein (APP), which was widely considered to play a key role in the pathogenesis of Alzheimer's disease (AD). Here, a novel microfluidics-based mobility shift assay (MMSA) was developed, validated, and applied for the screening of BACE1 inhibitors for AD. First, the BACE1 activity assay was established with a new fluorescent peptide substrate (FAM-EVNLDAEF) derived from the Swedish mutant APP, and high-quality ratiometric data were generated in both endpoint and kinetic modes by electrophoretic separation of peptide substrate from the BACE1 cleaved product (FAM-EVNL) before fluorescence quantification. To validate the assay, the inhibition and kinetic parameter values of two known inhibitors (AZD3839 and AZD3293) were evaluated, and the results were in good agreement with those reported by other methods. Finally, the assay was applied to screen for new inhibitors from a 900-compound library in a 384-well format, and one novel hit (IC = 26.5 ± 1.5 μM) was identified. Compared with the common fluorescence-based assays, the primary advantage of the direct MMSA was to discover novel BACE1 inhibitors with lower auto-fluorescence interference, and its superb capability for kinetic study. Graphical abstract Microfluidics-based mobility shift assay for BACE1.
β-分泌酶(BACE1)启动了从淀粉样前体蛋白(APP)生成有毒淀粉样β肽(Aβ)的过程,这一过程被广泛认为在阿尔茨海默病(AD)的发病机制中起关键作用。在此,一种基于微流控的迁移率变动分析(MMSA)方法得以开发、验证并应用于筛选AD的BACE1抑制剂。首先,利用源自瑞典突变型APP的新型荧光肽底物(FAM-EVNLDAEF)建立了BACE1活性分析方法,通过在荧光定量前对肽底物与BACE1切割产物(FAM-EVNL)进行电泳分离,在终点和动力学模式下均生成了高质量的比率数据。为验证该分析方法,评估了两种已知抑制剂(AZD3839和AZD3293)的抑制和动力学参数值,结果与其他方法报道的结果高度一致。最后,该分析方法被应用于以384孔板形式从一个包含900种化合物的文库中筛选新的抑制剂,鉴定出一种新型活性化合物(IC = 26.5 ± 1.5 μM)。与基于荧光的常规分析方法相比,直接MMSA的主要优势在于能够发现具有较低自发荧光干扰的新型BACEI抑制剂,以及其出色的动力学研究能力。图形摘要:基于微流控的BACE1迁移率变动分析。