Development of an ELISA-based high throughput screening method for novel anticancer agents targeting β-catenin/Lef1 interaction
Author:
Affiliation:

Clc Number:

Fund Project:

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).

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    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.

    Reference
    Related
    Cited by
Get Citation

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]. Chinese Journal of Biotechnology, 2019, 35(4): 707-717

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 26,2018
  • Revised:
  • Adopted:
  • Online: April 18,2019
  • Published:
Article QR Code