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Optimization of an anti-HER2 nanobody expression using the Taguchi method
Authors:Alireza Farasat  Davoud Ahmadvand  Fatemeh Yazdian
Institution:1. Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran;2. School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran;3. Department of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
Abstract:Despite being widely used in immunotherapy of cancer, whole antibodies are limited by several disadvantages. This has led to the advent of novel biomolecules such as nanobodies. Taguchi method is a statistical experimental design to study the effect of multiple variables in biological processes. In an effort to overexpress a recombinant anti-human epidermal growth factor receptor type 2 (HER2) nanobody, we performed a detailed study to find optimal condition of temperature, induction, culture media, vector, and host strain, using Taguchi methodology. A total of 16 various experiments were designed. Total protein of the formulated cultures were assessed by Bradford test and sodium dodecyl sulfate-polyacrylamide gel electrophoresis, followed by size exclusion high performance liquid chromatography to quantify the relative concentration of the nanobody in different expression settings. Western blotting was performed to confirm the expression of the anti-HER2 nanobody. When, individually, optimum parameters determined by Taguchi were applied, including SHuffle strain cultured in LB medium, induced with 0.4?mM isopropyl-β-D-thio-galactoside for 18?h at 24°C, production yield further increased by about 9% (25.4?mg/L), compared to the highest expression setting. Flow cytometry and enzyme-linked immunosorbent assay result indicated improved protein binding in optimized conditions. Overall, our findings provide a basis for further investigations on economical production of recombinant nanobodies to improve production yield and activity.
Keywords:HER2  nanobody  optimal condition  Taguchi methodology
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