Although Chinese hamster ovary (CHO) cells, with their unique characteristics, have become a major workhorse for the manufacture of therapeutic recombinant proteins, one of the major challenges in CHO cell line generation (CLG) is how to efficiently identify those rare, high-producing clones among a large population of low- and non-productive clones. It is not unusual that several hundred individual clones need to be screened for the identification of a commercial clonal cell line with acceptable productivity and growth profile making the cell line appropriate for commercial application. This inefficiency makes the process of CLG both time consuming and laborious. Currently, there are two main CHO expression systems, dihydrofolate reductase (DHFR)-based methotrexate (MTX) selection and glutamine synthetase (GS)-based methionine sulfoximine (MSX) selection, that have been in wide industrial use. Since selection of recombinant cell lines in the GS-CHO system is based on the balance between the expression of the GS gene introduced by the expression plasmid and the addition of the GS inhibitor, L-MSX, the expression of GS from the endogenous GS gene in parental CHOK1SV cells will likely interfere with the selection process. To study endogenous GS expression's potential impact on selection efficiency, GS-knockout CHOK1SV cell lines were generated using the zinc finger nuclease (ZFN) technology designed to specifically target the endogenous CHO GS gene. The high efficiency (∼2%) of bi-allelic modification on the CHO GS gene supports the unique advantages of the ZFN technology, especially in CHO cells. GS enzyme function disruption was confirmed by the observation of glutamine-dependent growth of all GS-knockout cell lines. Full evaluation of the GS-knockout cell lines in a standard industrial cell culture process was performed. Bulk culture productivity improved two- to three-fold through the use of GS-knockout cells as parent cells. The selection stringency was significantly increased, as indicated by the large reduction of non-producing and low-producing cells after 25 µM L-MSX selection, and resulted in a six-fold efficiency improvement in identifying similar numbers of high-productive cell lines for a given recombinant monoclonal antibody. The potential impact of GS-knockout cells on recombinant protein quality is also discussed.

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Clonally derived recombinant cell lines are highly desired to achieve consistent production of recombinant biotherapeutics. Despite repeated rounds of cloning by limiting dilution or single cell cloning, the resulting cell lines have often been observed to diverge, becoming a heterogeneous population and losing productivity over long-term sub-culturing. To understand the underlying molecular mechanisms, we developed quantitative polymerase chain reaction (qPCR) assays for the analysis of transgene copy number distribution in single recombinant cells isolated from Chinese hamster ovary (CHO) cell lines. Single cells were obtained by fluorescence activated cell sorting (FACS) technology and lysed directly in 96-well plates. qPCR assays were then applied to analyze the quantity and distribution of transgenes in those single cells. Results revealed multiple types of transgene copy number distribution profiles from those clonally derived CHO cell lines. The cell lines that maintained productivity over time displayed relatively constant and homogeneous transgene copy number distributions; while most of those cell lines exhibiting a loss of productivity over time showed varying degrees of transgene copy number heterogeneity and distribution drift with passaging. Some cell lines showed the existence of a significant portion of cells lacking the transgenes (referred to as negative cells in this study) and the percentage of those negative cells increased with subsequent generations. Criteria based on transgene copy number distribution profiles were developed to assess cell line suitability for clinical applications, which include (i) percentage of negative cells; (ii) standard deviation of qPCR threshold cycle (C(t) ) value, a measure of population heterogeneity; (iii) mean C(t) changes during aging, a measure of population drift. By implementing these criteria, undesirable cell lines were eliminated for further clinical and commercial applications.