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Metabolite profiling of CHO cells with different growth characteristics
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/bit.23269openalex-snapshot
Metabolite profiling of recombinant CHO cells: Designing tailored feeding regimes that enhance recombinant antibody production
inferredcites →https://doi.org/10.1002/btpr.238openalex-snapshot
A single nutrient feed supports both chemically defined NS0 and CHO fed‐batch processes: Improved productivity and lactate metabolism
inferredcites →https://doi.org/10.1002/btpr.470openalex-snapshot
Towards the implementation of quality by design to the production of therapeutic monoclonal antibodies with desired glycosylation patterns
inferredcites →https://doi.org/10.1002/rcm.4328openalex-snapshot
Metabolomics profiling of extracellular metabolites in recombinant Chinese Hamster Ovary fed‐batch culture
inferredcites →https://doi.org/10.1007/bf00928361openalex-snapshot
Physiological concentrations of purines and pyrimidines
inferredcites →https://doi.org/10.1007/s11306-010-0216-9openalex-snapshot
Evaluation of extraction processes for intracellular metabolite profiling of mammalian cells: matching extraction approaches to cell type and metabolite targets
inferredcites →https://doi.org/10.1016/j.ab.2010.04.031openalex-snapshot
Towards quantitative metabolomics of mammalian cells: Development of a metabolite extraction protocol
inferredcites →https://doi.org/10.1016/j.drudis.2010.06.012openalex-snapshot
Cell culture metabolomics: applications and future directions
inferredcites →https://doi.org/10.1016/j.jbiotec.2010.03.018openalex-snapshot
Metabolomics-driven approach for the improvement of Chinese hamster ovary cell growth: Overexpression of malate dehydrogenase II
inferredcites →https://doi.org/10.1016/j.ymben.2009.11.001openalex-snapshot
Metabolomics for high-resolution monitoring of the cellular physiological state in cell culture engineering
inferredcites →https://doi.org/10.1016/s0021-9258(18)95956-9openalex-snapshot
Adenosine Triphosphate Conservation in Metabolic Regulation
inferredcites →https://doi.org/10.1021/ac2009492openalex-snapshot
Metabolomics Profiling of Cell Culture Media Leading to the Identification of Riboflavin Photosensitized Degradation of Tryptophan Causing Slow Growth in Cell Culture
inferredcites →https://doi.org/10.1021/ja101962copenalex-snapshot
Fermentanomics: Monitoring Mammalian Cell Cultures with NMR Spectroscopy
inferredcites →https://doi.org/10.1021/pr8006232openalex-snapshot
Metabolic Profiling of Human Colorectal Cancer Using High-Resolution Magic Angle Spinning Nuclear Magnetic Resonance (HR-MAS NMR) Spectroscopy and Gas Chromatography Mass Spectrometry (GC/MS)
inferredcites →https://doi.org/10.1038/nmeth0211-117openalex-snapshot
Metabolomics: from small molecules to big ideas
inferredcites →https://doi.org/10.1073/pnas.0502267102openalex-snapshot
Perturbational profiling of a cell-line model of tumorigenesis by using metabolic measurements
inferredcites →https://doi.org/10.1089/omi.2010.0114openalex-snapshot
Metabolomic Analysis of Resveratrol-Induced Effects in the Human Breast Cancer Cell Lines MCF-7 and MDA-MB-231
inferredcites →https://doi.org/10.1093/nar/27.1.29openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1093/nar/28.1.27openalex-snapshot
KEGG: Kyoto Encyclopedia of Genes and Genomes
inferredcites →https://doi.org/10.1126/science.122.3168.501openalex-snapshot
Nutrition Needs of Mammalian Cells in Tissue Culture
inferredcites →https://doi.org/10.1142/9789812772435_0018openalex-snapshot
COMPARATIVE METABOLOMICS OF BREAST CANCER
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SeqAn An efficient, generic C++ library for sequence analysis
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anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data
inferredcites →https://doi.org/10.1371/journal.pone.0004251openalex-snapshot
Metabolomic Profiling of Drug Responses in Acute Myeloid Leukaemia Cell Lines
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Optimization of Metabolomics Pretreatment Method of Cholangiocarcinoma Cells Based on Ultrahigh Performance Liquid Chromatography Coupled with Mass Spectrometry
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Optimization of Metabolomics Pretreatment Method of Cholangiocarcinoma Cells Based on Ultrahigh Performance Liquid Chromatography Coupled with Mass Spectrometry
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Metabolite Profiling of Mammalian Cells
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Toward Integrated Multi‐omics Analysis for Improving CHO Cell Bioprocessing
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Productive CHO cell lines selection in biopharm process development through machine learning on metabolomic dynamics
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A robust transfection reagent for the transfection of CHO and HEK293 cells and production of recombinant proteins and lentiviral particles – PTG1
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Metabolite profiling of CHO cells: Molecular reflections of bioprocessing effectiveness
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Impact of CHO Metabolism on Cell Growth and Protein Production: An Overview of Toxic and Inhibiting Metabolites and Nutrients
inferred← citeshttps://doi.org/10.1002/biot.201800036openalex-snapshot
High Cell Density Perfusion Culture has a Maintained Exoproteome and Metabolome
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1H NMR‐based process understanding and biochemical marker identification methodology for monitoring CHO cell culture process during commercial‐scale manufacturing
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Identification and control of novel growth inhibitors in fed‐batch cultures of Chinese hamster ovary cells
inferred← citeshttps://doi.org/10.1002/bit.27661openalex-snapshot
Creation and filtering of a recurrent spectral library of CHO cell metabolites and media components
inferred← citeshttps://doi.org/10.1002/bit.27998openalex-snapshot
Using MVDA with stoichiometric balances to optimize amino acid concentrations in chemically defined CHO cell culture medium for improved culture performance
inferred← citeshttps://doi.org/10.1002/btpr.2335openalex-snapshot
Effect of amino acid supplementation on titer and glycosylation distribution in hybridoma cell cultures—Systems biology‐based interpretation using genome‐scale metabolic flux balance model and multivariate data analysis
inferred← citeshttps://doi.org/10.1002/btpr.2421openalex-snapshot
Intracellular CHO Cell Metabolite Profiling Reveals Steady‐State Dependent Metabolic Fingerprints in Perfusion Culture
inferred← citeshttps://doi.org/10.1002/btpr.3220openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/elps.201200605openalex-snapshot
Mammalian cell metabolomics: Experimental design and sample preparation
inferred← citeshttps://doi.org/10.1007/978-1-0716-4104-0_9openalex-snapshot
The ‘Omics Revolution in CHO Biology: Roadmap to Improved CHO Productivity
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The ‘Omics Revolution in CHO Biology: Roadmap to Improved CHO Productivity
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An Omic’s Data-Driven Approach Towards Engineering Mammalian Cell Factories and Bioprocesses for Biopharmaceutical Production
inferred← citeshttps://doi.org/10.1007/978-3-319-10320-4_20openalex-snapshot
Metabolomics in Animal Cell Culture
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Collection and Preparation of Clinical Samples for Metabolomics
inferred← citeshttps://doi.org/10.1007/s00018-017-2582-1openalex-snapshot
Experimental design and reporting standards for metabolomics studies of mammalian cell lines
inferred← citeshttps://doi.org/10.1007/s00253-013-5329-4openalex-snapshot
Changes in intracellular metabolite pools during growth of adherent MDCK cells in two different media
inferred← citeshttps://doi.org/10.1007/s00253-019-10048-1openalex-snapshot
Systems biology approach in the formulation of chemically defined media for recombinant protein overproduction
inferred← citeshttps://doi.org/10.1007/s00396-013-3093-8openalex-snapshot
Highly robust protein production by co-culture of CHO spheroids layered on feeder cells in serum-free medium
inferred← citeshttps://doi.org/10.1007/s10295-014-1473-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10295-015-1611-zopenalex-snapshot
Comparative metabolic profiling reveals the key role of amino acids metabolism in the rapamycin overproduction by Streptomyces hygroscopicus
inferred← citeshttps://doi.org/10.1007/s10295-016-1883-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10295-019-02248-5openalex-snapshot
A novel method based on nonparametric regression with a Gaussian kernel algorithm identifies the critical components in CHO media and feed optimization
inferred← citeshttps://doi.org/10.1007/s10529-013-1442-9openalex-snapshot
Sodium butyrate enhances the acidic isoform content of recombinant human erythropoietin produced by Chinese hamster ovary cells
inferred← citeshttps://doi.org/10.1007/s10616-017-0066-7openalex-snapshot
The enhancement of antibody concentration and achievement of high cell density CHO cell cultivation by adding nucleoside
inferred← citeshttps://doi.org/10.1007/s10616-019-00350-1openalex-snapshot
Early integration of Design of Experiment (DOE) and multivariate statistics identifies feeding regimens suitable for CHO cell line development and screening
inferred← citeshttps://doi.org/10.1007/s11306-014-0766-3openalex-snapshot
Comparative metabolomics analysis of the key metabolic nodes in propionic acid synthesis in Propionibacterium acidipropionici
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Cell line dependence of metabolite leakage in metabolome analyses of adherent normal and cancer cell lines
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Mitochondrial aconitase is a key regulator of energy production for growth and protein expression in Chinese hamster ovary cells
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Comparative metabolomics reveals specific metabolic signatures in colorectal cancer cell line models
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Recombinant Antibody Production in CHO and NS0 Cells: Differences and Similarities
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Quantitative NMR analysis of intra- and extracellular metabolism of mammalian cells: A tutorial
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GC-MS based metabolomics of colon cancer cells using different extraction solvents
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Coupled cell morphology investigation and metabolomics analysis improves rapamycin production in Streptomyces hygroscopicus
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Chemometric identification of canonical metabolites linking critical process parameters to monoclonal antibody production during bioprocess development
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The emerging CHO systems biology era: harnessing the ‘omics revolution for biotechnology
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