Am J Trop Med Hyg. 2012 Jan;86(1):84-92. doi: 10.4269/ajtmh.2012.11-0302.
With the increasing occurrence of drug resistance in the malaria parasite, Plasmodium falciparum, there is a great need for new and novel anti-malarial drugs. We have developed a 384-well, high-throughput imaging assay for the detection of new anti-malarial compounds, which was initially validated by screening a marine natural product library, and subsequently used to screen more than 3 million data points from a variety of compound sources. Founded on another fluorescence-based P. falciparum growth inhibition assay, the DNA-intercalating dye 4',6-diamidino-2-phenylindole, was used to monitor changes in parasite number. Fluorescent images were acquired on the PerkinElmer Opera High Throughput confocal imaging system and analyzed with a spot detection algorithm using the Acapella data processing software. Further optimization of this assay sought to increase throughput, assay stability, and compatibility with our high-throughput screening equipment platforms. The assay typically yielded Z'-factor values of 0.5-0.6, with signal-to-noise ratios of 12.
随着疟原虫(Plasmodium falciparum)耐药性的不断增加,人们迫切需要新的抗疟药物。我们开发了一种 384 孔高通量成像检测方法,用于检测新的抗疟化合物。该方法最初通过筛选海洋天然产物文库进行了验证,随后用于筛选来自多种化合物来源的超过 300 万个数据点。该方法基于另一种基于荧光的疟原虫生长抑制检测法,使用 DNA 嵌入染料 4',6-二脒基-2-苯基吲哚(4',6-diamidino-2-phenylindole)来监测寄生虫数量的变化。在 PerkinElmer Opera 高通量共聚焦成像系统上获取荧光图像,并使用 Acapella 数据处理软件中的斑点检测算法进行分析。进一步优化该检测方法旨在提高通量、检测稳定性和与我们的高通量筛选设备平台的兼容性。该检测方法通常产生 0.5-0.6 的 Z'因子值,信噪比为 12。