Seo-Young Park, Dong-Hyuk Choi, Jinsung Song, Meiyappan Lakshmanan, Anne Richelle, Seongkyu Yoon, Cleo Kontoravdi, Nathan E Lewis, Dong-Yup Lee
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引用次数: 0
Abstract
Genome-scale metabolic models (GEMs) of Chinese hamster ovary (CHO) cells are valuable for gaining mechanistic understanding of mammalian cell metabolism and cultures. We provide a comprehensive overview of past and present developments of CHO-GEMs and in silico methods within the flux balance analysis (FBA) framework, focusing on their practical utility in rational cell line development and bioprocess improvements. There are many opportunities for further augmenting the model coverage and establishing integrative models that account for different cellular processes and data for future applications. With supportive collaborative efforts by the research community, we envisage that CHO-GEMs will be crucial for the increasingly digitized and dynamically controlled bioprocessing pipelines, especially because they can be successfully deployed in conjunction with artificial intelligence (AI) and systems engineering algorithms.
期刊介绍：
Trends in Biotechnology publishes reviews and perspectives on the applied biological sciences, focusing on useful science applied to, derived from, or inspired by living systems.
The major themes that TIBTECH is interested in include:
Bioprocessing (biochemical engineering, applied enzymology, industrial biotechnology, biofuels, metabolic engineering)
Omics (genome editing, single-cell technologies, bioinformatics, synthetic biology)
Materials and devices (bionanotechnology, biomaterials, diagnostics/imaging/detection, soft robotics, biosensors/bioelectronics)
Therapeutics (biofabrication, stem cells, tissue engineering and regenerative medicine, antibodies and other protein drugs, drug delivery)
Agroenvironment (environmental engineering, bioremediation, genetically modified crops, sustainable development).
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