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首页> 外文期刊>Combinatorial Chemistry _High Throughput Screening >A High-Throughput Mammalian Protein Expression, Purification, Aliquoting and Storage Pipeline to Assemble a Library of the Human Secretome
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A High-Throughput Mammalian Protein Expression, Purification, Aliquoting and Storage Pipeline to Assemble a Library of the Human Secretome

机译:高通量的哺乳动物蛋白表达,纯化,分装和存储管道,以组装人类secretome的库。

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摘要

In the post-human genome-sequencing era, the availability of recombinant proteins has become crucial for the identification of proteins with therapeutic potential. Based upon bioinformatic coding predictions of the genes for putative secreted proteins, we established a high-throughput protein pipeline (HTPP) for the production of a subset of the human secretome. The HTPP was based on a transient expression system in HEK293-EBNA cells at 100 to 500 mL culture scale, combined with an automated affinity purification procedure targeting > 75% purity. This was followed by a semiautomated protein sample logistics to provide biologists with quality-controlled and 96 well formatted protein aliquots amenable to cell-based assays. Over a 4-year period, beginning in 2001, we performed over 7,500 transfections representing over 2,200 registered proteins, including both novel and reference proteins, at an average production of 280 proteins/ month with a peak production of 320 proteins/month. All these proteins have been tested in more than 50 different cell-based assays. This article describes the major process steps and highlights the optimization required to maintain novel protein production while supporting both stock replenishment and scale-up productions.
机译:在人类基因组测序后的时代,重组蛋白的可用性对于鉴定具有治疗潜力的蛋白已变得至关重要。基于推测的分泌蛋白基因的生物信息学编码预测,我们建立了高通量蛋白管线(HTPP),用于生产人类分泌蛋白的子集。 HTPP基于HEK293-EBNA细胞中100至500 mL培养规模的瞬时表达系统,并结合了针对> 75%纯度的自动亲和纯化程序。随后是半自动化的蛋白质样品后勤处理,为生物学家提供了质量控制的和96种格式良好的蛋白质等分试样,适合用于基于细胞的测定。从2001年开始的4年时间里,我们进行了7500多次转染,代表2200多种注册蛋白,包括新蛋白和参考蛋白,平均产量为280个蛋白/月,峰值产量为320个蛋白/月。所有这些蛋白质已在50多种不同的基于细胞的测定法中进行了测试。本文介绍了主要的工艺步骤,并着重介绍了在支持库存补充和按比例放大生产的同时,维持新型蛋白质生产所需的优化。

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