<div class="csl-bib-body">
<div class="csl-entry">Krippl, M. (2017). <i>Data driven approach for DSP development of recombinant glycoproteins from yeast</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2017.38805</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2017.38805
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/2189
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dc.description
Zusammenfassung in deutscher Sprache
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dc.description.abstract
In modern biotechnology, a huge variety of proteins are recombinantly produced for different applications. Today, the yeast Pichia pastoris is a promising recombinant production platform with many advantages compared to bacterial expression hosts, like posttranslational modifications and product secretion. However, P. pastoris hyperglycosylates recombinant proteins rendering the DSP development and purification itself laborious. Developing efficient purification protocols for glycoproteins is a cumbersome task since the offline analytical measurements are time consuming, expensive and prone to operator error. In addition, conventional particle-based chromatography systems that are in standard approaches for screening of different stationary phases and support materials are very time consuming, the throughput is very low and the screenings are based on trial-and-error approaches. Monolithic columns are the fourth generation of chromatography supports that are becoming popular because of their linear scalability, high mass transfer properties and short purification times. In the course of this thesis, we developed a novel toolbox using chromatogram fingerprints and multivariate data analysis (MVDA) tools for fast DSP development of recombinant glycoproteins from yeast. We screened for different columns and purification conditions in a design of experiments (DoE) approach using our toolbox in analytical scale and validate these results in laboratory scale. Based thereon, we implemented this novel toolbox for DSP development of six different recombinant glycoproteins from P. pastoris. Use of this platform toolbox for purification of novel proteins can reduce DSP development time and circumvent cumbersome offline analytics.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Monolith
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dc.subject
design of experiments
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dc.subject
Downstream process
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dc.subject
recombinant glycoproteins
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dc.subject
toolbox for DSP-development
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dc.title
Data driven approach for DSP development of recombinant glycoproteins from yeast
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dc.type
Thesis
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dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2017.38805
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Maximilian Krippl
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Rajamanickam, Vignesh
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tuw.publication.orgunit
E166 - Inst. f. Verfahrenstechnik, Umwelttechnik und Techn. Biowissenschaften