For the industrial production of recombinant proteins in mammalian cell lines, a high rate of gene expression is desired. Therefore, strong viral promoters are commonly used. However, these have several drawbacks as they override cellular responses, are not integrated into the cellular network, and thus can induce stress and potentially epigenetic silencing. Endogenous promoters potentially have the advantage of a better response to cellular state and thus a lower stress level by uncontrolled overexpression of the transgene. Such fine‐tuning is typically achieved by endogenous enhancers and other regulatory elements, which are difficult to identify purely based on the genomic sequence. Here, Chinese hamster ovary (CHO) endogenous promoters and enhancers are identified using histone marks and chromatin states, ranked based on expression level and tested for normalized promoter strength. Successive truncation of these promoters at the 5′‐ and 3′‐end as well as the combination with enhancers are identified in the vicinity of the promoter sequence further enhance promoter activity up to threefold. In an initial screen within stable cell lines, the strongest CHO promoter appears to be more stable than the human cytomegalovirus promoter with enhancer, making it a promising candidate for recombinant protein production and cell engineering applications. A deeper understanding of promoter functionality and response elements will be required to take full advantage of such promoters for cell engineering, in particular, for multigene network engineering applications.

No abstract

High-throughput siRNA screens were only recently applied to cell factories to identify novel engineering targets which are able to boost cells towards desired phenotypes. While siRNA libraries exist for model organisms such as mice, no CHO-specific library is publicly available, hindering the application of this technique to CHO cells. The optimization of these cells is of special interest, as they are the main host for the production of therapeutic proteins. Here, we performed a cross-species approach by applying a mouse whole-genome siRNA library to CHO cells, optimized the protocol for suspension cultured cells, as this is the industrial practice for CHO cells, and developed an in silico method to identify functioning siRNAs, which also revealed the limitations of using cross-species libraries. With this method, we were able to identify several genes that, upon knockdown, enhanced the total productivity in the primary screen. A second screen validated two of these genes, Rad21 and Chd4 , whose knockdown was tested in additional CHO cell lines, confirming the induced high productivity phenotype, but also demonstrating the cell line/clone specificity of engineering effects.