基于β-catenin/Lef1相互作用为靶标的新型抗肿瘤药物高通量筛选模型的建立
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国家自然科学基金 (No. 81703546),安徽省自然科学基金 (No. 1808085QH265),吉林省科技发展计划 (No. 20160520045JH),皖南医学院博士科研启动基金 (No. RCQD201617),皖南医学院大学生科研资助金 (No. WK2018S54) 资助。


Development of an ELISA-based high throughput screening method for novel anticancer agents targeting β-catenin/Lef1 interaction
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National Natural Science Foundation of China (No. 81703546), Anhui Provincial Natural Science Foundation (No. 1808085QH265), Jilin Scientific and Technological Development Program (No. 20160520045JH), The Doctoral Starting-up Fund of Wannan Medical College (No. RCQD201617), College Student Innovation Fund of Wannan Medical College (No. WK2018S54).

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    摘要:

    旨在以β-catenin/Lef1相互作用为靶标,建立基于ELISA原理的适用于靶向β-catenin/Lef1相互作用小分子抑制剂筛选的高通量筛选模型。利用DNA重组技术,将构建的β-catenin-pET-30a(+)重组质粒转化大肠杆菌Escherichia coli Rosetta (DE3),经诱导培养后进行β-catenin原核表达。采用亲和层析方法分离纯化β-catenin后,以GST Pulldown实验进行生物学活性鉴定。利用ELISA原理建立β-catenin/GST-Lef1结合的分子模型,通过优选GST-Lef1最佳包被浓度和β-catenin最佳反应浓度,建立适用于靶向β-catenin/Lef1相互作用小分子抑制剂筛选的高通量筛选模型。SDS-PAGE和Western blotting实验证实β-catenin的原核表达。GST Pulldown实验证实纯化的β-catenin具有良好的生物学活性。通过对基于ELISA原理建立的β-catenin/GST-Lef1结合的分子模型优化,选用10 μg/mL GST-Lef1和6 μg/mL β-catenin建立ELISA高通量筛选模型,其Z¢因子为0.76。本研究成功建立了基于ELISA原理的β-catenin/GST-Lef1结合的分子模型,为靶向β-catenin/Lef1相互作用小分子抑制剂的高通量筛选奠定了基础。

    Abstract:

    To develop an enzyme-linked immunosorbent assay (ELISA)-based high throughput screening (HTS) method for β-catenin/Lef1 interaction antagonists screening, Escherichia coli Rosetta (DE3) competent cells were transformed with β-catenin-pET-30a(+) plasmid. β-catenin protein was expressed after induction and purified using affinity chromatography. The biological activity of purified β-catenin was further analyzed by GST Pulldown assay. The β-catenin/GST-Lef1 binding model was established using ELISA principle, and the ELISA-based HTS method was further optimized through determination of an optimal coated concentration of GST-Lef1 and working concentration of β-catenin. The results showed that β-catenin protein was successfully expressed and purified. The GST Pulldown assay demonstrated a perfect biological activity for purified β-catenin. Subsequently, the ELISA-based HTS method was performed using 10 μg/mL GST-Lef1 and 6 μg/mL β-catenin, with the Z¢ factor of 0.76. Taken together, we have successfully developed a simple, robust and reliable ELISA-based HTS method for screening of novel Wnt inhibitors targeting β-catenin/Lef1 interaction.

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陈云雨,牛夏忆,李妍,刘晓平. 基于β-catenin/Lef1相互作用为靶标的新型抗肿瘤药物高通量筛选模型的建立[J]. 生物工程学报, 2019, 35(4): 707-717

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  • 收稿日期:2018-08-26
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  • 在线发布日期: 2019-04-18
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