| 1. |
- Canelas, A.B., et al.
(author)
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Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains
- 2010
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723 .- 2041-1723. ; 1:9
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Journal article (peer-reviewed)abstract
- The field of systems biology is often held back by difficulties in obtaining comprehensive, high-quality, quantitative data sets. In this paper, we undertook an interlaboratory effort to generate such a data set for a very large number of cellular components in the yeast Saccharomyces cerevisiae, a widely used model organism that is also used in the production of fuels, chemicals, food ingredients and pharmaceuticals. With the current focus on biofuels and sustainability, there is much interest in harnessing this species as a general cell factory. In this study, we characterized two yeast strains, under two standard growth conditions. We ensured the high quality of the experimental data by evaluating a wide range of sampling and analytical techniques. Here we show significant differences in the maximum specific growth rate and biomass yield between the two strains. On the basis of the integrated analysis of the high-throughput data, we hypothesize that differences in phenotype are due to differences in protein metabolism.
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| 2. |
- Kazemi Seresht, Ali, 1980, et al.
(author)
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Long-Term Adaptation of Saccharomyces cerevisiae to the Burden of Recombinant Insulin Production
- 2013
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In: Biotechnology and Bioengineering. - : Wiley. - 0006-3592 .- 1097-0290. ; 110:10, s. 2749-2763
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Journal article (peer-reviewed)abstract
- High-level production of heterologous proteins is likely to impose a metabolic burden on the host cell and can thus affect various aspects of cellular physiology. A data-driven approach was applied to study the secretory production of a human insulin analog precursor (IAP) in Saccharomyces cerevisiae during prolonged cultivation (80 generations) in glucose-limited aerobic chemostat cultures. Physiological characterization of the recombinant cells involved a comparison with cultures of a congenic reference strain that did not produce IAP, and time-course analysis of both strains aimed at identifying the metabolic adaptation of the cells towards the burden of IAP production. All cultures were examined at high cell density conditions (30g/L dry weight) to increase the industrial relevance of the results. The burden of heterologous protein production in the recombinant strain was explored by global transcriptome analysis and targeted metabolome analysis, including the analysis of intracellular amino acid pools, glycolytic metabolites, and TCA intermediates. The cellular re-arrangements towards IAP production were categorized in direct responses, for example, enhanced metabolism of amino acids as precursors for the formation of IAP, as well as indirect responses, for example, changes in the central carbon metabolism. As part of the long-term adaptation, a metabolic re-modeling of the IAP-expressing strain was observed, indicating an augmented negative selection pressure on glycolytic overcapacity, and the emergence of mitochondrial dysfunction. The evoked metabolic re-modeling of the cells led to less optimal conditions with respect to the expression and processing of the target protein and thus decreased the cellular expression capacity for the secretory production of IAP during prolonged cultivation.
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| 3. |
- Nielsen, Jens B, 1962, et al.
(author)
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Metabolic engineering of yeast for production of fuels and chemicals
- 2013
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In: Current Opinion in Biotechnology. - : Elsevier BV. - 0958-1669 .- 1879-0429. ; 24:3, s. 398-404
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Research review (peer-reviewed)abstract
- Microbial production of fuels and chemicals from renewable carbohydrate feedstocks offers sustainable and economically attractive alternatives to their petroleum-based production. The yeast Saccharomyces cerevisiae offers many advantages as a platform cell factory for such applications. Already applied on a huge scale for bioethanol production, this yeast is easy to genetically engineer, its physiology, metabolism and genetics have been intensively studied and its robustness enables it to handle harsh industrial conditions. Introduction of novel pathways and optimization of its native cellular processes by metabolic engineering are rapidly expanding its range of cell-factory applications. Here we review recent scientific progress in metabolic engineering of S. cerevisiae for the production of bioethanol, advanced biofuels, and chemicals.
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| 4. |
- Nijkamp, J. F., et al.
(author)
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De novo sequencing, assembly and analysis of the genome of the laboratory strain Saccharomyces cerevisiae CEN.PK113-7D, a model for modern industrial biotechnology
- 2012
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In: Microbial Cell Factories. - : Springer Science and Business Media LLC. - 1475-2859. ; 11, s. Article Number: 36-
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Journal article (peer-reviewed)abstract
- Saccharomyces cerevisiae CEN.PK 113-7D is widely used for metabolic engineering and systems biology research in industry and academia. We sequenced, assembled, annotated and analyzed its genome. Single-nucleotide variations (SNV), insertions/deletions (indels) and differences in genome organization compared to the reference strain S. cerevisiae S288C were analyzed. In addition to a few large deletions and duplications, nearly 3000 indels were identified in the CEN.PK113-7D genome relative to S288C. These differences were overrepresented in genes whose functions are related to transcriptional regulation and chromatin remodelling. Some of these variations were caused by unstable tandem repeats, suggesting an innate evolvability of the corresponding genes. Besides a previously characterized mutation in adenylate cyclase, the CEN. PK113-7D genome sequence revealed a significant enrichment of non-synonymous mutations in genes encoding for components of the cAMP signalling pathway. Some phenotypic characteristics of the CEN. PK113-7D strains were explained by the presence of additional specific metabolic genes relative to S288C. In particular, the presence of the BIO1 and BIO6 genes correlated with a biotin prototrophy of CEN. PK113-7D. Furthermore, the copy number, chromosomal location and sequences of the MAL loci were resolved. The assembled sequence reveals that CEN. PK113-7D has a mosaic genome that combines characteristics of laboratory strains and wild-industrial strains.
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