ArticleScientific reports2017
A Systematic Approach to Time-series Metabolite Profiling and RNA-seq Analysis of Chinese Hamster Ovary Cell Culture.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 63 citations in OpenAlex.
- Improving recombinant protein productivity in CHO cells via multi-omics data integration.Bioresources and bioprocessing · 2026Review
- Selecting methods for draft GEM generation in multicellular eukaryotes: a comparative analysis.BMC bioinformatics · 2026Article
- Mixotrophic culture enhances fucoxanthin production in the haptophyte Pavlova gyrans.Applied microbiology and biotechnology · 2024Article
- Nitrogen starvation causes lipid remodeling in Rhodotorula toruloides.Microbial cell factories · 2024Article
- Advancements in CHO metabolomics: techniques, current state and evolving methodologies.Frontiers in bioengineering and biotechnology · 2024Review
- Aromatic secondary metabolite production from glycerol was enhanced by amino acid addition in Pichia pastoris.Applied microbiology and biotechnology · 2023Article
- Divergent metabolism between Trypanosoma congolense and Trypanosoma brucei results in differential sensitivity to metabolic inhibition.PLoS pathogens · 2021Article
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- Substrate Channeling via a Transient Protein-Protein Complex: The case of D-Glyceraldehyde-3-Phosphate Dehydrogenase and L-Lactate Dehydrogenase.Scientific reports · 2020Article
- New insights into the evolution of host specificity of threeVirulence · 2020Article
- Combining transcriptomics and metabolomics to reveal the underlying molecular mechanism of ergosterol biosynthesis during the fruiting process of Flammulina velutipes.BMC genomics · 2019Article
- Epigenetic regulation of gene expression in Chinese Hamster Ovary cells in response to the changing environment of a batch culture.Biotechnology and bioengineering · 2019Article
- Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses.iScience · 2019Article
- Combined Analysis of the Fruit Metabolome and Transcriptome Reveals Candidate Genes Involved in Flavonoid Biosynthesis in Actinidia arguta.International journal of molecular sciences · 2018Article
- Multi-omics analysis reveals that ornithine decarboxylase contributes to erlotinib resistance in pancreatic cancer cells.Oncotarget · 2017Article
- Correlation analysis in clinical and experimental studies.Jornal vascular brasileiroArticle
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chinese hamster ovary (CHO) cells are the primary host used for biopharmaceutical protein production. The engineering of CHO cells to produce higher amounts of biopharmaceuticals has been highly dependent on empirical approaches, but recent high-throughput "omics" methods are changing the situation in a rational manner. Omics data analyses using gene expression or metabolite profiling make it possible to identify key genes and metabolites in antibody production. Systematic omics approaches using different types of time-series data are expected to further enhance understanding of cellular behaviours and molecular networks for rational design of CHO cells. This study developed a systematic method for obtaining and analysing time-dependent intracellular and extracellular metabolite profiles, RNA-seq data (enzymatic mRNA levels) and cell counts from CHO cell cultures to capture an overall view of the CHO central metabolic pathway (CMP). We then calculated correlation coefficients among all the profiles and visualised the whole CMP by heatmap analysis and metabolic pathway mapping, to classify genes and metabolites together. This approach provides an efficient platform to identify key genes and metabolites in CHO cell culture.
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