Joesch Christoph, Guevarra Emelie, Parel Serge P, Bergner Andreas, Zbinden Peter, Konrad Daniel, Albrecht Hugo
Biofocus DPI AG, Allschwil, Switzerland.
J Biomol Screen. 2008 Mar;13(3):218-28. doi: 10.1177/1087057108315036. Epub 2008 Feb 12.
Fluorometric imaging plate reader (FLIPR) membrane potential dyes (FMP-Red-Dye and FMP-Blue-Dye) were evaluated for the detection of compounds acting either as positive allosteric modulators or agonists on the GABA(A) receptor (GABA(A)R). A stable HEK293 cell line with constitutive expression of the rat GABA(A)R alpha1, beta2, and gamma2 genes was used to establish a functional high-throughput screening (HTS) assay based on measurement of the membrane potential change in living cells. The assay was validated with the FLIPR technology for identification of agonists and positive allosteric modulators using GABA and diazepam as model compounds. The FMP-Red-Dye showed better performance than the FMP-Blue-Dye, and the effects induced by GABA and diazepam were comparable to electrophysiology data. Subsequently, the assay was also validated with an ultra-HTS approach known as microarrayed compound screening (microARCS). The LOPAC library was used in a test screen for an initial assessment of the technology. Finally, the FLIPR and microARCS technologies were tested with a larger screening campaign. A focused library of 3520 putative positive modulators was tested with the FLIPR assay, and a diverse subset of 84,480 compounds was selected for screening with the microARCS technology. All hits were subjected to verification using the FLIPR technology, and confirmed hits were subsequently evaluated by EC50 determination. Finally, selected hits were further confirmed with electrophysiology testing.
使用荧光成像板读数器(FLIPR)膜电位染料(FMP-红色染料和FMP-蓝色染料)评估作用于γ-氨基丁酸A型受体(GABA(A)R)的正变构调节剂或激动剂类化合物。利用稳定表达大鼠GABA(A)R α1、β2和γ2基因的HEK293细胞系,基于测量活细胞中的膜电位变化建立功能性高通量筛选(HTS)测定法。使用γ-氨基丁酸(GABA)和地西泮作为模型化合物,通过FLIPR技术验证该测定法用于鉴定激动剂和正变构调节剂。FMP-红色染料表现出比FMP-蓝色染料更好的性能,且GABA和地西泮诱导的效应与电生理数据相当。随后,该测定法也通过一种称为微阵列化合物筛选(microARCS)的超高通量方法进行了验证。使用LOPAC文库进行测试筛选以对该技术进行初步评估。最后,通过更大规模的筛选活动对FLIPR和microARCS技术进行了测试。使用FLIPR测定法测试了包含3520种假定正调节剂的聚焦文库,并选择了84480种化合物的不同子集用microARCS技术进行筛选。所有命中化合物均使用FLIPR技术进行验证,随后通过测定半数有效浓度(EC50)对确认的命中化合物进行评估。最后,通过电生理测试进一步确认选定的命中化合物。