| Literature DB >> 25955212 |
Yuzheng Zhao1, Qingxun Hu2, Feixiong Cheng3, Ni Su4, Aoxue Wang4, Yejun Zou4, Hanyang Hu2, Xianjun Chen4, Hai-Meng Zhou5, Xinzhi Huang6, Kai Yang6, Qian Zhu7, Xue Wang2, Jing Yi6, Linyong Zhu8, Xuhong Qian9, Lixin Chen10, Yun Tang3, Joseph Loscalzo11, Yi Yang12.
Abstract
The altered metabolism of tumor cells confers a selective advantage for survival and proliferation, and studies have shown that targeting such metabolic shifts may be a useful therapeutic strategy. We developed an intensely fluorescent, rapidly responsive, pH-resistant, genetically encoded sensor of wide dynamic range, denoted SoNar, for tracking cytosolic NAD(+) and NADH redox states in living cells and in vivo. SoNar responds to subtle perturbations of various pathways of energy metabolism in real time, and allowed high-throughput screening for new agents targeting tumor metabolism. Among > 5,500 unique compounds, we identified KP372-1 as a potent NQO1-mediated redox cycling agent that produced extreme oxidative stress, selectively induced cancer cell apoptosis, and effectively decreased tumor growth in vivo. This study demonstrates that genetically encoded sensor-based metabolic screening could serve as a valuable approach for drug discovery.Entities:
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Year: 2015 PMID: 25955212 PMCID: PMC4427571 DOI: 10.1016/j.cmet.2015.04.009
Source DB: PubMed Journal: Cell Metab ISSN: 1550-4131 Impact factor: 27.287