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Optimized dual assay for the transgenes selection and screening in CHO cell line development for recombinant protein production
Objective To develop a simple robust methodology of screening multiple CHO cell clones secreting recombinant proteins to assess their specific productivity. Results We developed a dual assay based on immunoassay measurements of a recombinant protein expression combined with staining of viable cells...
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Published in: | Biotechnology letters 2019-09, Vol.41 (8-9), p.929-939 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Objective
To develop a simple robust methodology of screening multiple CHO cell clones secreting recombinant proteins to assess their specific productivity.
Results
We developed a dual assay based on immunoassay measurements of a recombinant protein expression combined with staining of viable cells with resazurin. Following this approach, colonies can be simultaneously assessed for cell growth rate and for production of a recombinant protein. Combination of these two assays enables to estimate productivity of a recombinant protein per cell from the very early stages of a cell line development process (CLD) and exclude poor producers from further steps. Comparison of the dual assay with a standard CLD protocol followed by only analysis of protein expression level showed at least 10–20% increase in the amount of clones that can be included into pool of high-producers at early stages. This shortens duration of a typical CLD scheme from 23 to 19 weeks.
Conclusions
Our method: (i) allows to include into workflow clones that demonstrate slow growth during single cell cloning but producing high amounts of a target protein, which otherwise would be lost in standard protocols of cells screening; (ii) can be applied for testing of DNA vectors for transfection and protein production; (iii) can be used for monitoring the heterogeneity of cell population and analysis of stable pools productivity. |
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ISSN: | 0141-5492 1573-6776 |
DOI: | 10.1007/s10529-019-02711-4 |