LACDR/Division of Biomolecular Analysis, VU University Amsterdam, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands.
J Chromatogr B Analyt Technol Biomed Life Sci. 2010 Mar 1;878(7-8):667-74. doi: 10.1016/j.jchromb.2010.01.035. Epub 2010 Jan 29.
This paper describes the determination and identification of active and inactive estrogenic compounds produced by biosynthetic methods. A hyphenated screening assay towards the human estrogen receptor ligand binding domain (hER)alpha and hERbeta integrating target-ligand interactions and liquid chromatography-high resolution mass spectrometry was used. With this approach, information on both biologic activity and structure identity of compounds produced by bacterial mutants of cytochrome P450s was obtained in parallel. Initial structure identification was achieved by high resolution MS/MS, while for full structure determination, P450 incubations were scaled up and the produced entities were purified using preparative liquid chromatography with automated fraction collection. NMR spectroscopy was performed on all fractions for 3D structure analysis; this included 1D-(1)H, 2D-COSY, 2D-NOESY, and (1)H-(13)C-HSQC experiments. This multidimensional screening approach enabled the detection of low abundant biotransformation products which were not suitable for detection in either one of its single components. In total, the analytical scale biosynthesis produced over 85 compounds from 6 different starting templates. Inter- and intra-day variation of the biochemical signals in the dual receptor affinity detection system was less than 5%. The multi-target screening approach combined with full structure characterization based on high resolution MS(/MS) and NMR spectroscopy demonstrated in this paper can generally be applied to e.g. metabolism studies and compound-library screening.
本文描述了通过生物合成方法确定和鉴定具有活性和非活性的雌激素化合物。采用了一种针对人雌激素受体配体结合域(hER)alpha 和 hERbeta 的串联筛选测定法,该方法整合了靶标-配体相互作用和液相色谱-高分辨质谱。通过这种方法,可以同时获得细菌细胞色素 P450 突变体产生的化合物的生物学活性和结构同一性信息。通过高分辨 MS/MS 实现初始结构鉴定,而对于完整结构的确定,则放大 P450 孵育,并使用带有自动馏分收集的制备液相色谱对产生的实体进行纯化。对所有馏分进行 NMR 光谱分析以进行 3D 结构分析;这包括 1D-(1)H、2D-COSY、2D-NOESY 和(1)H-(13)C-HSQC 实验。这种多维筛选方法能够检测到低丰度的生物转化产物,这些产物在其单一成分中的任何一种都不适合检测。总共,从 6 种不同的起始模板分析规模的生物合成产生了超过 85 种化合物。双受体亲和检测系统中的生化信号的日内和日间变化小于 5%。本文中展示的基于高分辨 MS(/MS)和 NMR 光谱的多目标筛选方法结合完整结构表征通常可应用于例如代谢研究和化合物库筛选。