ArticleFrontiers in bioengineering and biotechnology2025
High-throughput optimization of antibody production in CHO cells by tuning heavy- and light-chain promoter strength.
Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monoclonal antibody (mAb) production in CHO cells depends, among other factors, on balanced co-expression of the heavy (HC) and light (LC) chains. Imbalances between HC and LC can reduce titer, compromise product quality, and negatively affect cell viability, which means that the optimal LC/HC expression ratio should be identified as early as possible in cell line development. However, systematically testing multiple LC/HC expression ratios for many antibody candidates using traditional workflows is slow and resource intensive. Here, we present a high-throughput screening platform, coupled with a design-of-experiments (DoE) strategy, to identify optimal LC/HC expression balance at the transient stage. The system uses single-vector constructs encoding both LC and HC under promoters of defined low, medium, or high strength, enabling combinatorial testing of LC/HC promoter pairs. We applied this workflow to three different antibodies and quantified titer, viable cell density, and viability 72 h post-transfection. The optimal LC/HC promoter ratio was antibody specific. For two antibodies, high LC combined with medium HC expression yielded the highest titer while maintaining cell viability. High LC with high HC expression (LC100-HC100) also produced high titer but caused reduced viable cell density and viability. For the third antibody, the best-performing configuration was medium LC with medium HC, with medium LC and high HC as a close second. Across all three antibodies, low-strength promoters for either chain consistently resulted in poor titer. Overall, this platform offers a rapid and scalable approach to define antibody-specific LC/HC promoter strength combinations that maximize productivity without compromising cell health, enabling more informed construct selection before committing to stable clone generation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.