ArticleMetabolic engineering2023
CHOGlycoNET: Comprehensive glycosylation reaction network for CHO cells.
Article in Metabolic engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
- Highly multiplexed mammalian metabolic engineering with a shotgun approach.Nature biotechnology · 2026Article
- Micro- and Macro-Heterogeneity of N-Glycoproteome Remodeling in Endoplasmic Reticulum Stress.Molecular & cellular proteomics : MCP · 2026Article
- Improving recombinant protein productivity in CHO cells via multi-omics data integration.Bioresources and bioprocessing · 2026Review
- Toward a 4D genome annotation of CHO cells for biomanufacturing.Trends in biotechnology · 2026Review
- Effects of feeding strategies on culture performance and product quality in NISTCHO.NPJ systems biology and applications · 2026Article
- Advancing recombinant protein production in CHO cells through metabolic engineering.Frontiers in bioengineering and biotechnology · 2026Review
- Cell Engineering for Increasing Production of Recombinant Proteins in Mammalian Cells.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026Review
- Engineering mammalian protein secretion: Toward the convergence of high-throughput biology and computational methods.Cell systems · 2025Review
- Genetic Divergence and Antibody Expression Influence the N-Glycomes of CHO-K1 and CHO-S Cells.Biotechnology and bioengineering · 2025Article
- A transposon-based transient transfection system in CHO-K1 cells enables quality prediction of stable cell line proteins.Bioprocess and biosystems engineering · 2025Article
- GlyCompute: towards the automated analysis of protein N-linked glycosylation kinetics via an open-source computational framework.Analytical and bioanalytical chemistry · 2025Article
- In silico simulation of glycosylation and related pathways.Analytical and bioanalytical chemistry · 2024Review
- Boltzmann Model Predicts Glycan Structures from Lectin Binding.Analytical chemistry · 2024Article
- A Boltzmann model predicts glycan structures from lectin binding.bioRxiv : the preprint server for biology · 2024Article
- Recombinant Human CD19 in CHO-K1 Cells: Glycosylation Patterns as a Quality Attribute of High Yield Processes.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 4 countries.
Funding
Abstract
Chinese hamster ovary (CHO) cells are extensively used for the production of glycoprotein therapeutics proteins, for which N-linked glycans are a critical quality attribute due to their influence on activity and immunogenicity. Manipulation of protein glycosylation is commonly achieved through cell or process engineering, which are often guided by mathematical models. However, each study considers a unique glycosylation reaction network that is tailored around the cell line and product at hand. Herein, we use 200 glycan datasets for both recombinantly produced and native proteins from different CHO cell lines to reconstruct a comprehensive reaction network, CHOGlycoNET, based on the individual minimal reaction networks describing each dataset. CHOGlycoNET is used to investigate the distribution of mannosidase and glycosyltransferase enzymes in the Golgi apparatus and identify key network reactions using machine learning and dimensionality reduction techniques. CHOGlycoNET can be used for accelerating glycomodel development and predicting the effect of glycoengineering strategies. Finally, CHOGlycoNET is wrapped in a SBML file to be used as a standalone model or in combination with CHO cell genome scale models.
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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.