High resolution screening of plant natural product extracts for estrogen receptor alpha and beta binding activity...

A new screening technology that combines biochemical analysis with the resolution power of high-performance liquid chromatography (HPLC), referred to here as high-resolution screening (HRS) technique, is described. The capability of the HRS technology to analyze biologically active compounds in complex mixtures is demonstrated by screening a plant natural product extract library for estrogen receptor (ER) alpha and beta binding activity. The simultaneous structure elucidation of biologically active components in crude extracts was achieved by operating the HRS system in combination with mass spectrometry (MS). In contrast to conventional microtiter-type bioassays, the interactions of the extracts with the ER and the employed label, coumestrol, proceeded at high speed in a closed, continuous-flow reaction detection system, which was coupled directly to the outlet of a HPLC separation column. The reaction products of this homogeneous fluorescence enhancement-type assay were detected online using a flowthrough fluorescence detector. Primary screening of the extract library was performed in the fast-flow injection analysis mode (FlowScreening) wherein the chromatographic separation system was bypassed. The library was screened at high speed, using two assay lines in parallel. A total of 98% of the identified hits were confirmed in a traditional 96-well microplate-based fluorescence polarization assay, indicating the reliability of the FlowScreening process. Active extracts were reassayed in a transcriptional activation assay in order to assess the functional activity of the bioactive extracts. Only functional active extracts were processed in the more time-consuming HRS mode, which was operated in combination with MS. Information on the number of active compounds, their retention times, the molecular masses, and the MS/MS-fingerprints as a function of their biological activity was obtained from 50% of the functional active extracts in real time. This dramatically enhances the speed of biologically active compound characterization in natural product extracts compared to traditional fractionation approaches.