英语翻译Abstract The production of human interferon gamma (hIFN-γ) using a synthetic gene in Escherichia coli BL21-SI was optimized by response surface methodology (RSM) and a Box-Behnken design.The process variables studied were temperature,bio

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英语翻译Abstract The production of human interferon gamma (hIFN-γ) using a synthetic gene in Escherichia coli BL21-SI was optimized by response surface methodology (RSM) and a Box-Behnken design.The process variables studied were temperature,bio

英语翻译Abstract The production of human interferon gamma (hIFN-γ) using a synthetic gene in Escherichia coli BL21-SI was optimized by response surface methodology (RSM) and a Box-Behnken design.The process variables studied were temperature,bio
英语翻译
Abstract
The production of human interferon gamma (hIFN-γ) using a synthetic gene in Escherichia coli BL21-SI was optimized by response surface methodology (RSM) and a Box-Behnken design.The process variables studied were temperature,bio-mass concentration at induction time and the NaCl concentration as inducer.According to the Box-Behnken design,a second order response function was developed.The optimal expression conditions were a temperature of 32.6°C,induction biomass of 0.31 g/L and 0.3 M NaCl in minimal medium.The model prediction for the maximum hIFN-γ production was 77.3 mg/L,which corresponded satisfactorily with the experimental data.The hIFN-γ concentration attained under optimized conditions was 13-times higher than that obtained using the non-optimized conditions.We conclude that RSM is an effective method for the optimization of recombinant protein expression using synthetic genes in E.coli.

英语翻译Abstract The production of human interferon gamma (hIFN-γ) using a synthetic gene in Escherichia coli BL21-SI was optimized by response surface methodology (RSM) and a Box-Behnken design.The process variables studied were temperature,bio
文摘
人类的生产使用干扰素γ(hIFN-γ)合成的基因在大肠杆菌BL21-SI通过响应面分析法优化了气)和一个Box-Behnken设计.所研究的过程变量温度、浓度bio-mass诱导时间和氯化钠浓度作为前置.根据Box-Behnken设计,研制了二阶响应函数.最佳表现的环境温度为32.6°C,诱导0.31克/升的生物量和0.3米盐在最低限度的介质.该模型预测为最大限度的hIFN-γ的产量是77.3毫克/升左右,与实验数据较好.hIFN-γ获得的浓度在优化条件下得到了13-times高于使用non-optimized条件.我们认为大区经理是一种有效的方法,为优化重组蛋白表达用合成基因在大肠杆菌.

人类干扰素伽玛(的-γ)的产生,需要大肠杆菌bl21-si里面的合成基因,是靠响应面方法(RSM)和设计优化的。研究过程变量是温度,生物量浓度诱导时间及浓度诱导。二阶反应功能是根据Box-Behnken 设计开发的。最佳反应条件为:温度32.6°,诱导生物量0.31克/升和0.3M氯化钠。该模型预测的最大的-γ产量为77.3毫克/升,这是相当令人满意的实验数据。γ的-的浓度达到优化的条件下进行比未...

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人类干扰素伽玛(的-γ)的产生,需要大肠杆菌bl21-si里面的合成基因,是靠响应面方法(RSM)和设计优化的。研究过程变量是温度,生物量浓度诱导时间及浓度诱导。二阶反应功能是根据Box-Behnken 设计开发的。最佳反应条件为:温度32.6°,诱导生物量0.31克/升和0.3M氯化钠。该模型预测的最大的-γ产量为77.3毫克/升,这是相当令人满意的实验数据。γ的-的浓度达到优化的条件下进行比未使用优化条件获得的高13倍以上。我们得出这样的结论:RSM是一种有效的使用大肠杆菌里的合成基因优化重组蛋白质的方法。

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人类的生产使用干扰素γ(hIFN-γ)合成的基因在大肠杆菌BL21-SI通过响应面分析法优化了气)和一个Box-Behnken设计。所研究的过程变量温度、浓度bio-mass诱导时间和氯化钠浓度作为前置。根据Box-Behnken设计,研制了二阶响应函数。最佳表现的环境温度为32.6°C,诱导0.31克/升的生物量和0.3米盐在最低限度的介质。该模型预测为最大限度的hIFN-γ的产量是77.3毫克...

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人类的生产使用干扰素γ(hIFN-γ)合成的基因在大肠杆菌BL21-SI通过响应面分析法优化了气)和一个Box-Behnken设计。所研究的过程变量温度、浓度bio-mass诱导时间和氯化钠浓度作为前置。根据Box-Behnken设计,研制了二阶响应函数。最佳表现的环境温度为32.6°C,诱导0.31克/升的生物量和0.3米盐在最低限度的介质。该模型预测为最大限度的hIFN-γ的产量是77.3毫克/升左右,与实验数据较好。hIFN-γ获得的浓度在优化条件下得到了13-times高于使用non-optimized条件。 我们得出这样的结论:RSM是一种有效的使用大肠杆菌里的合成基因优化重组蛋白质的方法。

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人类的生产使用干扰素γ(hIFN-γ)合成的基因在大肠杆菌BL21-SI通过响应面分析法优化了气)和一个Box-Behnken设计。所研究的过程变量温度、浓度bio-mass诱导时间和氯化钠浓度作为前提。根据Box-Behnken设计,研制了二阶响应函数。最佳表现的环境温度为32.6°C,诱导0.31克/升的生物量和0.3米盐在最低限度的介质。该模型预测为最大限度的hIFN-γ的产量是77.3毫克...

全部展开

人类的生产使用干扰素γ(hIFN-γ)合成的基因在大肠杆菌BL21-SI通过响应面分析法优化了气)和一个Box-Behnken设计。所研究的过程变量温度、浓度bio-mass诱导时间和氯化钠浓度作为前提。根据Box-Behnken设计,研制了二阶响应函数。最佳表现的环境温度为32.6°C,诱导0.31克/升的生物量和0.3米盐在最低限度的介质。该模型预测为最大限度的hIFN-γ的产量是77.3毫克/升左右,与实验数据较好。hIFN-γ获得的浓度在优化条件下得到了13-times高于使用non-optimized条件。我们认为大区经理是一种有效的方法,为优化重组蛋白表达用合成基因在大肠杆菌。
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