000158012 001__ 158012
000158012 005__ 20181203022127.0
000158012 0247_ $$2doi$$a10.1002/bit.21565
000158012 02470 $$2ISI$$a000252270300013
000158012 037__ $$aARTICLE
000158012 245__ $$aInfluence of specific growth rate on specific productivity and glycosylation of a recombinant avidin produced by a Pichia pastoris Mut(+) strain
000158012 260__ $$c2008
000158012 269__ $$a2008
000158012 336__ $$aJournal Articles
000158012 520__ $$aA recombinant avidin-producing Mut(+) Pichia pastoris strain was used as a model organism to study the influence of the methanol feeding strategy on the specific product productivity (q(p)) and protein glycosylation. Fed-batch cultivations performed at various specific growth rates (A) and residual methanol concentrations showed that the specific avidin productivity is growth-dependent. The specific productivity increases strongly with the specific growth rate for mu ranging from 0 to 0.02 h(-1), and increases only slightly with the specific growth rate above this limit. N-terminal glycosylation was also found to be influenced by the specific growth rate, since 9-mannose glycans were the most abundant form at low growth rates, whereas 10-mannose carbohydrate. chains were favored at higher mu. These results show that culture parameters, such as the specific growth rate, may significantly affect the activity of glycoproteins produced in Pichia pastoris. In terms of process optimization, this suggests that a compromise on the specific growth rate may have to be found, in certain cases, to work with an acceptable productivity while avoiding the addition of many mannoses.
000158012 6531_ $$aPichia pastoris
000158012 6531_ $$aavidin
000158012 6531_ $$aN-glycosylation
000158012 6531_ $$afed-batch
000158012 6531_ $$aspecific growth rate
000158012 6531_ $$aFed-Batch Fermentation
000158012 6531_ $$aHeterologous Protein-Production
000158012 6531_ $$aHuman Serum-Albumin
000158012 6531_ $$aMethylotrophic Yeast
000158012 6531_ $$aCulture-Conditions
000158012 6531_ $$aIsoelectric Point
000158012 6531_ $$aEscherichia-Coli
000158012 6531_ $$aExpression
000158012 6531_ $$aMethanol
000158012 6531_ $$aOptimization
000158012 700__ $$0240703$$aSchenk, Jonas$$g114321
000158012 700__ $$aBalazs, Krisztina
000158012 700__ $$0240670$$aJungo, Carmen$$g119291
000158012 700__ $$aUrfer, Julien
000158012 700__ $$aWegmann, Carole
000158012 700__ $$aZocchi, Andrea
000158012 700__ $$0241101$$aMarison, Ian W.$$g105760
000158012 700__ $$0240951$$avon Stockar, Urs$$g106679
000158012 773__ $$j99$$q368-377$$tBiotechnology And Bioengineering
000158012 909C0 $$0252160$$pLGCB$$xU10179
000158012 909CO $$ooai:infoscience.tind.io:158012$$particle
000158012 917Z8 $$x148230
000158012 937__ $$aEPFL-ARTICLE-158012
000158012 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000158012 980__ $$aARTICLE