Gene Expression Profiling for Early CHO Clone Selection
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Solution Overview
Problem
Current methods for selecting suitable, highly productive candidate cell clones for recombinant protein expression in CHO cells are time-consuming and costly, requiring long-term cultivation to assess productivity, and there is a need for a faster identification method under standard cell culture conditions.
Innovation Solution
A method involving the determination of expression levels of specific genes (Fkbp10, ZdhhC6, Myrip, Actc1, AC124993.19, Runx2, AC158560.4, PlekhB1, Rps6KA2, Sept1, and Flt1) in cell clones, using quantitative RT-PCR, to select clones with upregulated or downregulated gene expression for further expansion, allowing early identification of promising clones without long-term cultivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to assess productivity by culturing clones for several months, then productivity assessment accuracy is improved, but time consumption and cost increase significantly
Solution Approach 1:
The patent applies preliminary action by measuring gene expression levels (Fkbp10, ZdhhC6, Myrip, Actc1, AC124993.19, Runx2, AC158560.4, PlekhB1, Rps6KA2, Sept1, Sprr2k, and Flt1) at early time points during clone development to predict future productivity. This allows selection of high-productivity clones before they undergo long-term cultivation, thereby reducing the time required for productivity assessment while maintaining accuracy through correlation with actual productivity data.
2Reliability
If extensive clone cultivation is performed to identify high-productivity clones, then selection reliability is improved, but development time and operational complexity increase
Solution Approach 1:
The patent replaces the mechanical/time-based approach of long-term clone cultivation with a molecular biology-based approach using gene expression analysis. By measuring the expression levels of specific genes (Fkbp10, ZdhhC6, Myrip, Actc1, AC124993.19, Runx2, AC158560.4, PlekhB1, Rps6KA2, Sept1, Sprr2k, and Flt1) through techniques like qRT-PCR or RNA sequencing, the method provides a reliable predictor of productivity without requiring extensive cultivation time, thus simplifying the development process while maintaining selection reliability.
3Speed
If gene expression profiling is performed early in cell line development, then identification speed is improved, but measurement complexity increases
Solution Approach 1:
The patent applies the extraction principle by focusing measurement on a specific subset of genes (Fkbp10, ZdhhC6, Myrip, Actc1, AC124993.19, Runx2, AC158560.4, PlekhB1, Rps6KA2, Sept1, Sprr2k, and Flt1) that have been identified as most predictive of productivity. Rather than performing comprehensive genome-wide expression profiling, the method extracts and measures only these key genes, thereby reducing measurement complexity and computational burden while maintaining high identification speed and accuracy for selecting high-productivity clones.
Data Source
AI summary
The present invention relates in general to the field of recombinant protein expression. In particular, the present invention relates to a method for selecting a suitable candidate cell clone for recombinant protein expression and to a host cell for recombinant protein expression, the host cell exhibiting artificially modified gene expression of at least one gene selected from the group consisting of: Fkbp10, ZdhhC6, Myrip, Actc1, AC124993.19, Runx2, AC158560.4, PlekhB1, Rps6KA2, Sept1, Sprr2k, and Flt1.