The use of transposase in cell line development (CLD) programs has experienced increased popularity over the past decade. However, few studies have described the mechanism of action and the genomic and phenotypic characteristics of clones derived from transposase. Additionally, how these traits impact long-term bioproduction is unknown. Here, we use chromosome painting, deep sequencing, and ddPCR to characterize the unique fingerprints associated with transposase-derived clones. Transposase reduces the cellular pool of transient vector as early as three days post transfection following transfection and expedites stable pool establishment by up to two weeks. Furthermore, , recombinant DNA expression is significantly improved up to ~3 fold along with a greater balance of antibody heavy and light chain transcripts, resulting in higher titers in transposase generated pools. Transposase derived pools contained an often innumerable number of integration sites, representing a vast increase in integration site diversity over randomly generated pools, which were bottlenecked at 1-3 integration sites per pool. These transposase mediated integrations typically occurred in clean singlets, free of genomic scars such as deletions, inversions, and other modifications associated with legacy transfection methods which exhibited higher copy numbers per integration site. Also we observed a relative decline in gene expression with copy number increase in the randomly generated, but not the transposase derived clones. Furthermore, transposase-derived clones were more likely to exhibit enhanced a long term stability profile, including product quality attributes such as Mannose-5. This improved stability may result from circumventing mechanisms associated with the silencing of tandem repeats. Thus, transposase-mediated approaches can provide multifaceted molecular and phenotypic advantages in cell line development when compared to legacy random-integration methods.

Chinese Hamster Ovary (CHO) cell lines are grown in cultures with varying asparagine and glutamine concentrations, but further study is needed to characterize the interplay between these amino acids. By following 13C-glucose, 13C-glutamine, and 13C-asparagine tracers using metabolic flux analysis (MFA), CHO cell metabolism was characterized in an industrially relevant fed-batch process under glutamine supplemented and low glutamine conditions during early and late exponential growth. For both conditions MFA revealed glucose as the primary carbon source to the tricarboxylic acid (TCA) cycle followed by glutamine and asparagine as secondary sources. Early exponential phase CHO cells prefer glutamine over asparagine to support the TCA cycle under the glutamine supplemented condition, while asparagine was critical for TCA activity for the low glutamine condition. Overall TCA fluxes were similar for both conditions due to the trade-offs associated with reliance on glutamine and/or asparagine. However, glutamine supplementation increased fluxes to alanine, lactate and enrichment of glutathione, N-Acetyl-Glucosamine (NAG) and pyrimidine-containing-molecules. The late exponential phase exhibited reduced central carbon metabolism dominated by glucose, while lactate reincorporation and aspartate uptake were preferred over glutamine and asparagine. These 13C studies demonstrate that metabolic flux is process time dependent and can be modulated by varying feed composition.