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Analyzing Clonal Variation of Monoclonal Antibody-Producing CHO Cell Lines Using an In Silico Metabolomic Platform

Atefeh Ghorbaniaghdam, Jingkui Chen, Olivier Henry et Mario Jolicoeur

Article de revue (2014)

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Abstract

Monoclonal antibody producing Chinese hamster ovary (CHO) cells have been shown to undergo metabolic changes when engineered to produce high titers of recombinant proteins. In this work, we have studied the distinct metabolism of CHO cell clones harboring an efficient inducible expression system, based on the cumate gene switch, and displaying different expression levels, high and low productivities, compared to that of the parental cells from which they were derived. A kinetic model for CHO cell metabolism was further developed to include metabolic regulation. Model calibration was performed using intracellular and extracellular metabolite profiles obtained from shake flask batch cultures. Model simulations of intracellular fluxes and ratios known as biomarkers revealed significant changes correlated with clonal variation but not to the recombinant protein expression level. Metabolic flux distribution mostly differs in the reactions involving pyruvate metabolism, with an increased net flux of pyruvate into the tricarboxylic acid (TCA) cycle in the high-producer clone, either being induced or non-induced with cumate. More specifically, CHO cell metabolism in this clone was characterized by an efficient utilization of glucose and a high pyruvate dehydrogenase flux. Moreover, the high-producer clone shows a high rate of anaplerosis from pyruvate to oxaloacetate, through pyruvate carboxylase and from glutamate to a-ketoglutarate, through glutamate dehydrogenase, and a reduced rate of cataplerosis from malate to pyruvate, through malic enzyme. Indeed, the increase of flux through pyruvate carboxylase was not driven by an increased anabolic demand. It is in fact linked to an increase of the TCA cycle global flux, which allows better regulation of higher redox and more efficient metabolic states. To the best of our knowledge, this is the first time a dynamic in silico platform is proposed to analyze and compare the metabolomic behavior of different CHO clones.

Mots clés

Animals; Antibodies, Monoclonal; CHO Cells; Citric Acid Cycle; Cricetulus; Ketoglutaric Acids; Metabolomics; Models, Theoretical; Pyruvate Decarboxylase; Pyruvic Acid; Antibodies, Monoclonal; Ketoglutaric Acids; Pyruvic Acid; alpha-ketoglutaric acid; Pyruvate Decarboxylase

Sujet(s): 1800 Génie chimique > 1800 Génie chimique
1900 Génie biomédical > 1900 Génie biomédical
Département: Département de génie chimique
Organismes subventionnaires: CRSNG / NSERC, Canadian Foundation for Innovation (CFI), Viropro International Inc.
URL de PolyPublie: https://publications.polymtl.ca/3461/
Titre de la revue: PLOS One (vol. 9, no 3)
Maison d'édition: PLOS
DOI: 10.1371/journal.pone.0090832
URL officielle: https://doi.org/10.1371/journal.pone.0090832
Date du dépôt: 22 nov. 2018 15:28
Dernière modification: 28 sept. 2024 11:07
Citer en APA 7: Ghorbaniaghdam, A., Chen, J., Henry, O., & Jolicoeur, M. (2014). Analyzing Clonal Variation of Monoclonal Antibody-Producing CHO Cell Lines Using an In Silico Metabolomic Platform. PLOS One, 9(3). https://doi.org/10.1371/journal.pone.0090832

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