title: Metabolic profiling reveals that time related physiological changes in mammalian cell perfusion cultures are bioreactor scale independent.
abstract: Metabolic profiling was used to characterize the time course of cell physiology both in laboratory- and manufacturing-scale mammalian cell perfusion cultures. Two independent experiments were performed involving three vials from the same BHK cell bank, used to inoculate three laboratory-scale bioreactors, from which four manufacturing-scale cultures were initiated. It was shown that metabolomic analysis can indeed enhance the prime variable dataset for the monitoring of perfusion cultures by providing a higher resolution view of the metabolic state. Metabolic profiles could capture physiological state shifts over the course of the perfusion cultures and indicated a metabolic "signature" of the phase transitions, which was not observable from prime variable data. Specifically, the vast majority of metabolites had lower concentrations in the middle compared to the other two phases. Notably, metabolomics provided orthogonal (to prime variables) evidence that all cultures followed this same metabolic state shift with cell age, independently of bioreactor scale.
authors.affiliation: Metabolic Engineering and Systems Biology Laboratory, Institute of Chemical Engineering Sciences, Foundation for Research and Technology-Hellas (FORTH/ICE-HT), Patras, Greece; Interdepartmental Graduate Program "Informatics in Life Sciences", University of Patras, Patras, Greece.
authors.forename: Spyros I
authors.initials: SI
authors.lastname: Vernardis
authors.forename: Chetan T
authors.initials: CT
authors.lastname: Goudar
authors.forename: Maria I
authors.initials: MI
authors.lastname: Klapa
mesh_terms: D000818:Animals; D019149:Bioreactors; D002460:Cell Line; D006224:Cricetinae; D055442:Metabolome / Q000502:physiology*; D055432:Metabolomics / Q000379:methods*; D010477:Perfusion
keywords: GC–MS metabolomics; Industrial cell culture engineering; Metabolic network reconstruction; Multivariate statistical analysis; Perfusion cultures