Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/61818

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dc.contributor.authorHamdi, Anispor
dc.contributor.authorSantos, Sophia Torrespor
dc.contributor.authorRocha, Isabelpor
dc.date.accessioned2019-10-21T08:50:27Z-
dc.date.available2019-10-21T08:50:27Z-
dc.date.issued2019-10-15-
dc.identifier.citationHamdi, A.; Santos, Sophia T.; Rocha, Isabel, Towards metabolic optimization of CHO cells: in silico improvement of culture medium. FOSBE 2019 - 8th IFAC Conference on Foundations of Systems Biology in Engineering (Program Booklet). Valencia, Spain, Oct 15-18, 23-24, 2019.por
dc.identifier.urihttp://hdl.handle.net/1822/61818-
dc.description.abstractThe emergence of omics tools and bioinformatics potentiated the development of new strategies to optimize several expression platforms, in particular mammalian cell lines, being CHO cells one of the most commonly used cell line for the production of recombinant proteins. Foremost, computational modelling combined with CHO cell omics data can help optimizing growth parameters, as well as improving the final product yield. In this context, CHO genome scale metabolic model (GSSM) was used in order to study the metabolic behavior of the cells in response to variations in environmental constraints, such as amino acids levels, targeting the development of a novel chemically defined culture medium formulation for CHO cells. To study this influence, GSSM combined with an in-house developed algorithm was employed to determine the minimal medium formulation to sustain growth for non-recombinant as well as for recombinant CHO cells lines. Optflux tool was used to predict metabolic behavior of the cells in response to the environmental constraints tested. Based on in silico predictions, growth yield value was improved 2.8 times and 1.8 times, respectively, for non-recombinant and recombinant CHO cells lines comparing to previously reported data. Furthermore, toxic by-products such as ammonium were decreased to their lowest levels. In silico-based approaches for medium optimization are powerful tools for predicting the metabolic interconnexion in the cell and for selecting potential experimental conditions for further validation in bioreactor systems.por
dc.language.isoengpor
dc.rightsopenAccesspor
dc.titleTowards metabolic optimization of CHO cells: in silico improvement of culture mediumpor
dc.typeconferenceAbstractpor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://fosbe2019.ai2.upv.es/por
dc.commentsCEB52127por
oaire.citationConferenceDate15 Out. - 18 Out. 2019por
sdum.event.titleFOSBE 2019 - 8th IFAC Conference on Foundations of Systems Biology in Engineeringpor
sdum.event.typeconferencepor
oaire.citationConferencePlaceValencia, Spainpor
dc.date.updated2019-10-19T11:26:19Z-
dc.subject.fosEngenharia e Tecnologia::Biotecnologia Industrialpor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersion-
sdum.conferencePublicationFOSBE 2019 - 8th IFAC Conference on Foundations of Systems Biology in Engineering (Program Booklet)por
Appears in Collections:CEB - Resumos em Livros de Atas / Abstracts in Proceedings

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