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Differential Expression Profiling of Industrially Relevant CHO Cell Phenotypes Using a Proprietary CHO-Specific Microarray and Proteomics Technology Platforms

机译:使用专用CHO特异性微阵列和蛋白质组学技术平台的工业相关CHO细胞表型差异表达分析

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We have previously reported on the development and use of a proprietary CHO-specific microarray and proteomics technology platforms to interrogate large and diverse sets of CHO cell samples, which embodied several industrially relevant phenotypes. In a collaboration between Wyeth BioPharma and NICB/Dublin City University, we have completed the analysis of 375 individual samples representing 29 different recombinant CHO cell lines expressing monoclonal antibody, receptor-Fc fusion molecules, coagulation factors or growth factors. In this paper, we will present key learnings and insights that we have made upon analysis of the large dataset generated by the collaboration. Of note is that, despite sometimes large differences in observed phenotypes, the changes that we measured in the genomics and proteomics experiments were relatively subtle. Lastly, functional validation is important to confirming the relevance of any particular target. The development of a robust, comprehensive, and high-throughput validation workflow will be discussed.
机译:我们之前有关于制定和使用专有的Cho特定的微阵列和蛋白质组学技术平台,以询问大型和多样化的Cho细胞样本,这些杂志样本体现了几种工业相关的表型。在Wyeth Biopharma和Nicb / Dublin City University之间的合作中,我们已经完成了375个单独样品的分析,代表了表达单克隆抗体,受体-FC融合分子,凝血因子或生长因子的29种不同的重组Cho细胞系。在本文中,我们将呈现我们在分析协作生成的大型数据集时所取代的关键学习和见解。值得注意的是,尽管有时观察到的表型有时差异,但我们在基因组学和蛋白质组学实验中测量的变化是相对微妙的。最后,功能验证对于确认任何特定目标的相关性非常重要。将讨论强大,全面和高吞吐量验证工作流程的开发。

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