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1.
N Biotechnol ; 73: 19-28, 2023 Mar 25.
Article in English | MEDLINE | ID: mdl-36603701

ABSTRACT

Yeasts, such as Pichia pastoris (syn Komagataella spp.), are particularly suitable expression systems for emerging classes of recombinant proteins. Among them, recombinant antibody fragments, such as single-chain variable fragments (scFv) and single-domain antibodies (VHH), are credible alternatives to monoclonal antibodies. The availability of powerful genetic engineering and synthetic biology tools has facilitated improvement of this cell factory to overcome certain limitations. However, cell engineering to improve secretion often remains a trial-and-error approach and improvements are often specific to the protein produced. Where multiple genetic interventions are needed to remove bottlenecks in the process of recombinant protein secretion, this leads to a high number of combinatorial possibilities for creation of new production strains. Therefore, our aim was to exploit whole transcriptional programs (stress response pathways) in order to simplify the strain engineering of new production strains. Indeed, the artificial activation of the general stress response transcription factor Msn4, as well as synthetic versions thereof, could replace the secretion enhancing effect of several cytosolic chaperones. Greater than 4-fold improvements in recombinant protein secretion were achieved by overexpression of MSN4 or synMSN4, either alone or in combination with Hac1 or ER chaperones. With this concept we were able to successfully engineer strains reaching titers of more than 2.5 g/L scFv and 8 g/L VHH in bioreactor cultivations. This increased secretion capacity of different industrially relevant model proteins indicates that MSN4 overexpression most likely represents a general concept to improve recombinant protein production in yeast.


Subject(s)
Bioreactors , Pichia , Genetic Engineering , Pichia/genetics , Pichia/metabolism , Recombinant Proteins , Stress, Physiological
2.
Microb Biotechnol ; 13(2): 479-494, 2020 03.
Article in English | MEDLINE | ID: mdl-31692260

ABSTRACT

The quantitative changes of the secretome of recombinant Pichia pastoris (Komagataella phaffii) CBS7435 over the time-course of methanol- or glucose-limited fed-batch cultures were investigated by LC-ESI-MS/MS to define the carbon source-specific secretomes under controlled bioreactor conditions. In both set-ups, no indication for elevated cell lysis was found. The quantitative data revealed that intact and viable P. pastoris cells secrete only a low number of endogenous proteins (in total 51), even during high cell density cultivation. Interestingly, no marked differences in the functional composition of the P. pastoris secretome between methanol- and glucose-grown cultures were observed with only few proteins being specifically affected by the carbon source. The 'core secretome' of 22 proteins present in all analysed carbon sources (glycerol, glucose and methanol) consists mainly of cell wall proteins. The quantitative analysis additionally revealed that most secretome proteins were already present after the batch phase, and depletion rather than accumulation occurred during the fed-batch processes. Among the changes over cultivation time, the depletion of both the extracellularly detected chaperones and the only two identified proteases (Pep4 and Yps1-1) during the methanol- or glucose-feed phase appear as most prominent.


Subject(s)
Carbon , Pichia , Glycerol , Methanol , Pichia/genetics , Recombinant Proteins/genetics , Saccharomycetales , Tandem Mass Spectrometry
3.
Microb Cell Fact ; 16(1): 117, 2017 Jul 11.
Article in English | MEDLINE | ID: mdl-28693509

ABSTRACT

BACKGROUND: Industrial processes for recombinant protein production challenge production hosts, such as the yeast Pichia pastoris, on multiple levels. During a common P. pastoris fed-batch process, cells experience strong adaptations to different metabolic states or suffer from environmental stresses due to high cell density cultivation. Additionally, recombinant protein production and nutrient limitations are challenging in these processes. RESULTS: Pichia pastoris producing porcine carboxypeptidase B (CpB) was cultivated in glucose or methanol-limited fed-batch mode, and the cellular response was analyzed using microarrays. Thereby, strong transcriptional regulations in transport-, regulatory- and metabolic processes connected to sulfur, phosphorus and nitrogen metabolism became obvious. The induction of these genes was observed in both glucose- and methanol- limited fed batch cultivations, but were stronger in the latter condition. As the transcriptional pattern was indicative for nutrient limitations, we performed fed-batch cultivations where we added the respective nutrients and compared them to non-supplemented cultures regarding cell growth, productivity and expression levels of selected biomarker genes. In the non-supplemented reference cultures we observed a strong increase in transcript levels of up to 89-fold for phosphorus limitation marker genes in the late fed-batch phase. Transcript levels of sulfur limitation marker genes were up to 35-fold increased. By addition of (NH4)2SO4 or (NH4)2HPO4, respectively, we were able to suppress the transcriptional response of the marker genes to levels initially observed at the start of the fed batch. Additionally, supplementation had also a positive impact on biomass generation and recombinant protein production. Supplementation with (NH4)2SO4 led to 5% increase in biomass and 52% higher CpB activity in the supernatant, compared to the non-supplemented reference cultivations. In (NH4)2HPO4 supplemented cultures 9% higher biomass concentrations and 60% more CpB activity were reached. CONCLUSIONS: Transcriptional analysis of P. pastoris fed-batch cultivations led to the identification of nutrient limitations in the later phases, and respective biomarker genes for indication of limitations. Supplementation of the cultivation media with those nutrients eliminated the limitations on the transcriptional level, and was also shown to enhance productivity of a recombinant protein. The biomarker genes are versatily applicable to media and process optimization approaches, where tailor-made solutions are envisioned.


Subject(s)
Batch Cell Culture Techniques , Pichia/genetics , Pichia/physiology , Recombinant Proteins/biosynthesis , Ammonium Sulfate/pharmacology , Animals , Biomarkers , Biomass , Carboxypeptidase B/biosynthesis , Carboxypeptidase B/genetics , Culture Media/chemistry , Fungal Proteins/genetics , Fungal Proteins/metabolism , Gene Expression Profiling , Glucose/metabolism , Glucose/pharmacology , Methanol/metabolism , Microarray Analysis , Pichia/drug effects , Recombinant Proteins/isolation & purification , Swine
4.
FEMS Yeast Res ; 17(3)2017 05 01.
Article in English | MEDLINE | ID: mdl-28334329

ABSTRACT

Mass spectrometry-based metabolomic profiling is a powerful strategy to quantify the concentrations of numerous primary metabolites in parallel. To avoid distortion of metabolite concentrations, quenching is applied to stop the cellular metabolism instantly. For yeasts, cold methanol quenching is accepted to be the most suitable method to stop metabolism, while keeping the cells intact for separation from the supernatant. During this treatment, metabolite loss may occur while the cells are suspended in the quenching solution. An experiment for measuring the time-dependent loss of selected primary metabolites in differently buffered quenching solutions was conducted to study pH and salt concentration-dependent effects. Molecular properties of the observed metabolites were correlated with the kinetics of loss to gain insight into the mechanisms of metabolite leakage. Size and charge-related properties play a major role in controlling metabolite loss. We found evidence that interaction with the cell wall is the main determinant to retain a molecule inside the cell. Besides suggesting an improved quenching protocol to keep loss at a minimum, we could establish a more general understanding of the process of metabolite loss during quenching, which will allow to predict optimal conditions for hitherto not analysed metabolites.


Subject(s)
Cell Wall/drug effects , Metabolome , Metabolomics/methods , Methanol/pharmacology , Pichia/drug effects , Bioreactors , Buffers , Cell Wall/chemistry , Cell Wall/metabolism , Chromatography, Liquid , Culture Media/chemistry , Fermentation , Hydrogen-Ion Concentration , Kinetics , Pichia/chemistry , Pichia/metabolism , Sodium Chloride/pharmacology , Tandem Mass Spectrometry
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