Abstract

The Fluorescent Ubiquitination-based Cell Cycle Indicator (FUCCI) system can be used not only to study gene expression at a specific cell cycle stage, but also to monitor cell cycle transitions in real time. In this study, we used a single clone of FUCCI-expressing HeLa cells (FUCCI-HeLa cells) and monitored the cell cycle in individual live cells over time by determining the ratios between red fluorescence (RF) of RFP-Cdt1 and green fluorescence (GF) of GFP-Geminin. Cytotoxic and cytostatic compounds, the latter of which induced G2 or mitotic arrest, were identified based on periodic cycling of the RF/GF and GF/RF ratios in FUCCI-HeLa cells treated with anti-cancer drugs. With this cell cycle monitoring system, ten flavonoids were screened. Of these, apigenin and luteolin, which have a flavone backbone, were cytotoxic, whereas kaempferol, which has a flavonol backbone, was cytostatic and induced G2 arrest. In summary, we developed a system to quantitatively monitor the cell cycle in real time. This system can be used to identify novel compounds that modulate the cell cycle and to investigate structure–activity relationships.

Highlights

  • Natural compounds are historically important resources to identify novel lead structures for the development of anti-cancer therapeutics

  • Determination of the cell cycle stage of Fluorescent Ubiquitination-based Cell Cycle Indicator (FUCCI)-HeLa cells based on the red fluorescence (RF)/green fluorescence (GF) and GF intensity versus the RF intensity (GF/RF) ratios

  • The intensities of GF of Geminin and RF of Cdt1 in FUCCI-HeLa cells fluctuate according to the cell cycle stage [15]

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Summary

Introduction

Natural compounds are historically important resources to identify novel lead structures for the development of anti-cancer therapeutics. More than 60% of currently used anti-cancer drugs originate from natural sources [1]. A library of natural compounds with unique chemical structures has been established. To develop novel anti-cancer drugs, these phytochemicals are usually screened using cancer cell death as a readout [2,3]. One of the most successful FDA-approved anti-cancer drugs, was identified via this method [4]. Development of a high-throughput screening platform that uses a different readout (other than cell death) will help to identify novel therapeutic phytochemicals

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