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A high-throughput media design approach for high performance mammalian fed-batch cultures.
Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Viable cell density as an indicator for dynamic feeding strategy in fed-batch and perfusion CHO cell culture.Scientific reports · 2025Article
- Redefining media blending mathematically: a systematic approach for screening of medium components.Applied microbiology and biotechnology · 2025Article
- RNASeq highlights ATF6 pathway regulators for CHO cell engineering with different impacts of ATF6β and WFS1 knockdown on fed-batch production of IgGScientific reports · 2024Article
- Employing active learning in the optimization of culture medium for mammalian cells.NPJ systems biology and applications · 2023Article
- Development of a perfusion process for serum-free adenovirus vector herpes zoster vaccine production.AMB Express · 2022Article
- Modular development enables rapid design of media for alternative hosts.Biotechnology and bioengineering · 2022Article
- Review
- Determination of Chinese hamster ovary (CHO) cell densities and antibody titers from small volumes of cell culture supernatants using multivariate analysis and partial least squares regression of UV-Vis spectra.Analytical and bioanalytical chemistry · 2021Article
- One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.Frontiers in bioengineering and biotechnology · 2021Article
- Rapid process development of serum-free pseudorabies virus production with the Quality by Design approach.Cytotechnology · 2020Article
- A novel method based on nonparametric regression with a Gaussian kernel algorithm identifies the critical components in CHO media and feed optimization.Journal of industrial microbiology & biotechnology · 2020Article
- Early integration of Design of Experiment (DOE) and multivariate statistics identifies feeding regimens suitable for CHO cell line development and screening.Cytotechnology · 2019Article
- Amino acid consumption in naïve and recombinant CHO cell cultures: producers of a monoclonal antibody.Cytotechnology · 2015Article
- Harnessing the potential of machine learning for advancing "Quality by Design" in biomanufacturing.mAbsReview
- Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cells: A comparative study of machine learning and systems biology approaches.Biotechnology advancesReview
- A Different Perspective: How Much Innovation Is Really Needed for Monoclonal Antibody Production Using Mammalian Cell Technology?Advances in biochemical engineering/biotechnologyReview
- Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An innovative high-throughput medium development method based on media blending was successfully used to improve the performance of a Chinese hamster ovary fed-batch medium in shaking 96-deepwell plates. Starting from a proprietary chemically-defined medium, 16 formulations testing 43 of 47 components at 3 different levels were designed. Media blending was performed following a custom-made mixture design of experiments considering binary blends, resulting in 376 different blends that were tested during both cell expansion and fed-batch production phases in one single experiment. Three approaches were chosen to provide the best output of the large amount of data obtained. A simple ranking of conditions was first used as a quick approach to select new formulations with promising features. Then, prediction of the best mixes was done to maximize both growth and titer using the Design Expert software. Finally, a multivariate analysis enabled identification of individual potential critical components for further optimization. Applying this high-throughput method on a fed-batch, rather than on a simple batch, process opens new perspectives for medium and feed development that enables identification of an optimized process in a short time frame.
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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.