Abstract

BackgroundOptimization of conditions during recombinant protein production for improved yield is a major goal for protein scientists. Typically this is achieved by changing single crucial factor settings one at a time while other factors are kept fixed through trial-and-error experimentation. This approach may introduce larger bias and fail to identify interactions between the factors resulting in failure of finding the true optimal conditions.ResultsIn this study we have utilized design of experiments in order to identify optimal culture conditions with the aim to improve the final yield of the anti-keratin 8 scFv TS1-218, during expression in P. pastoris in shake flasks. The effect of: pH, temperature and methanol concentration on the yield of TS1-218 using buffered minimal medium was investigated and a predictive model established. The results demonstrated that higher starting pH and lower temperatures during induction significantly increased the yield of TS1-218. Furthermore, the result demonstrated increased biomass accumulation and cell viability at lower temperatures which suggested that the higher yield of TS1-218 could be attributed to lower protease activity in the culture medium. The optimal conditions (pH 7.1, temperature 11°C and methanol concentration 1.2%) suggested by the predictive model yielded 21.4 mg TS1-218 which is a 21-fold improvement compared to the yield prior to optimization.ConclusionThe results demonstrated that design of experiments can be utilized for a rapid optimization of initial culture conditions and that P. pastoris is highly capable of producing and secreting functional single-chain antibody fragments at temperatures as low as 11°C.

Highlights

  • Optimization of conditions during recombinant protein production for improved yield is a major goal for protein scientists

  • The results demonstrated that design of experiments can be utilized for a rapid optimization of initial culture conditions and that P. pastoris is highly capable of producing and secreting functional single-chain antibody fragments at temperatures as low as 11°C

  • Several groups have adopted the statistical design of experiments (DoE) methodology in order to address these limitations during optimization of the conditions in protein expression [14,15,16,17,18]

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Summary

Introduction

Optimization of conditions during recombinant protein production for improved yield is a major goal for protein scientists This is achieved by changing single crucial factor settings one at a time while other factors are kept fixed through trial-and-error experimentation. P. pastoris is easier to manipulate and culture than other eukaryotic cells and is capable of Optimization of production conditions for overproduction of recombinant proteins are routinely achieved by varying single factors at a time until an apparent optimum is reached [7,8,12] This approach could be labor intensive and assumes that all single parameters are mutually independent of one another and fails to identify interactions between the different factors involved [13]. Today there are numerous software packages available which facilitate the application of DoE for nonstatisticians

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