WP2: Phenotype to genotype mapping. To identify the underlying mechanisms that globally affect protein secretion, regardless of the cargo, we focused on strains that consistently secrete high amounts of protein (based on WP1). Next, we designed a Round-Robin crossing scheme both for β-glucosidase and the VHH-IgA nanobo...
Dimitrios Konstantinidis· KU Leuven RDR· 0 citations
WP3: Genotype to phenotype mapping. QTL analysis of protein secreting segregants (WP2), to identify genomic loci associated with improved protein secretion.Aiming to pinpoint loci that broadly affect protein secretion, we chose to prioritize those QTLs that were either common between β-glucosidase and VHH-IgA crosses o...
Dimitrios Konstantinidis· KU Leuven RDR· 0 citations
WP4: Stacking superior alleles improves protein secretion across genetic backgrounds Combinatorial engineering of the alleles identified through the QTL study, consistently led to improved protein secretion (different stain backgrounds, target proteins and genetic elements controlling gene expression). Recombinant prot...
Dimitrios Konstantinidis· KU Leuven RDR· 0 citations
WP1: High-throughput screening of 230 Saccharomyces cerevisiae isolates. The protein secretion capacity of these strains was evaluated, based on the secretion of two distinct target proteins. One enzyme (β-glucosidase) and a VHH-IgA nanobody fusion (against the toxin A of Clostridium difficile). Recombinant protein pro...
Dimitrios Konstantinidis· KU Leuven RDR· 0 citations
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