Nocon Justyna, Steiger Matthias G, Pfeffer Martin, Sohn Seung Bum, Kim Tae Yong, Maurer Michael, Rußmayer Hannes, Pflügl Stefan, Ask Magnus, Haberhauer-Troyer Christina, Ortmayr Karin, Hann Stephan, Koellensperger Gunda, Gasser Brigitte, Lee Sang Yup, Mattanovich Diethard
Department of Biotechnology, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, Vienna, Austria.
Department of Biotechnology, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, Vienna, Austria; Austrian Centre of Industrial Biotechnology, Vienna, Austria.
Metab Eng. 2014 Jul;24(100):129-38. doi: 10.1016/j.ymben.2014.05.011. Epub 2014 May 20.
The production of recombinant proteins is frequently enhanced at the levels of transcription, codon usage, protein folding and secretion. Overproduction of heterologous proteins, however, also directly affects the primary metabolism of the producing cells. By incorporation of the production of a heterologous protein into a genome scale metabolic model of the yeast Pichia pastoris, the effects of overproduction were simulated and gene targets for deletion or overexpression for enhanced productivity were predicted. Overexpression targets were localized in the pentose phosphate pathway and the TCA cycle, while knockout targets were found in several branch points of glycolysis. Five out of 9 tested targets led to an enhanced production of cytosolic human superoxide dismutase (hSOD). Expression of bacterial β-glucuronidase could be enhanced as well by most of the same genetic modifications. Beneficial mutations were mainly related to reduction of the NADP/H pool and the deletion of fermentative pathways. Overexpression of the hSOD gene itself had a strong impact on intracellular fluxes, most of which changed in the same direction as predicted by the model. In vivo fluxes changed in the same direction as predicted to improve hSOD production. Genome scale metabolic modeling is shown to predict overexpression and deletion mutants which enhance recombinant protein production with high accuracy.
重组蛋白的产量通常在转录、密码子使用、蛋白质折叠和分泌水平上得到提高。然而,异源蛋白的过量表达也会直接影响生产细胞的初级代谢。通过将异源蛋白的生产纳入酵母毕赤酵母的基因组规模代谢模型中,模拟了过量表达的影响,并预测了用于增强生产力的基因敲除或过表达的靶点。过表达靶点定位于磷酸戊糖途径和三羧酸循环,而敲除靶点则位于糖酵解的几个分支点。9个测试靶点中有5个导致胞质人超氧化物歧化酶(hSOD)产量增加。大多数相同的基因修饰也能提高细菌β-葡萄糖醛酸酶的表达。有益突变主要与NADP/H库的减少和发酵途径的缺失有关。hSOD基因本身的过表达对细胞内通量有很大影响,其中大部分通量的变化方向与模型预测的一致。体内通量的变化方向与预测的提高hSOD产量的方向一致。基因组规模代谢建模显示,能够高精度地预测提高重组蛋白产量的过表达和缺失突变体。