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de Groot, P.

Publications and source records attributed to de Groot, P..

2 recordsLinked to original sources

Top-down, knowledge-based genetic reduction of yeast central carbon metabolism

Saccharomyces cerevisiae, whose evolutionary past includes a whole-genome duplication event, is characterised by a mosaic genome configuration with substantial apparent genetic redundancy. This apparent redundancy raises questions about the evolutionary driving force for genomic fixation of minor paralogs and complicates modular and combinatorial metabolic engineering strategies. While isoenzymes might be important in specific environments, they could be dispensable in controlled laboratory or industrial contexts. The present study explores the extent to which the genetic complexity of the central carbon metabolism (CCM) in S. cerevisiae, here defined as the combination of glycolysis, pentose phosphate pathway, tricarboxylic acid cycle and a limited number of related pathways and reactions, can be reduced by elimination of (iso)enzymes without major negative impacts on strain physiology. Cas9-mediated, groupwise deletion of 35 from the 111 genes yielded a minimal CCM strain, which despite the elimination of 32 % of CCM-related proteins, showed only a minimal change in phenotype on glucose-containing synthetic medium in controlled bioreactor cultures relative to a congenic reference strain. Analysis under a wide range of other growth and stress conditions revealed remarkably few phenotypic changes of the reduction of genetic complexity. Still, a well-documented context-dependent role of GPD1 in osmotolerance was confirmed. The minimal CCM strain provides a model system for further research into genetic redundancy of yeast genes and a platform for strategies aimed at large-scale, combinatorial remodelling of yeast CCM.

genetics↗

Coronary atherosclerosis: Un-altered physiology

BackgroundEnd-stage coronary artery atherosclerosis has been studied extensively but the exact mechanisms of initiation and progression have not been defined fully. The aim of this study was to mathematically describe luminal change in relation to coronary vessel wall thickness in its progression from normal to atherosclerotic to establish whether these explain the pathophysiology.\n\nMethodsOne hundred coronary artery sections were graded histologically as normal to highly atherosclerotic. Random systemic sampling by image analysis yielded 32 measurements (lumen radius and intima, medial, and adventitial thickness) from each section along 32 evenly spaced radii.\n\nResultsThe raw data follow an undulating course in relation to successive segments in all sections analyzed, pointing to a dynamic and well-ordered system. The calculated values, studied in triplets, followed a non-synchronized parabolic course, which was converted to linearity by taking the change in numbers (n-(n-1)={Delta}) into account. The course and sign of {Delta}vessel wall (resulting from summed {Delta}intima, {Delta}media, {Delta}adventitia) and {Delta}lumen radius values were unique for each triplet. Triplets order according to {Delta}lumen radius minus {Delta}vessel wall and its course given by the trendline a-value presented stages in which increased {Delta}vessel wall resulted in increased {Delta}lumen radius in stages 1 and 3 and decreased {Delta}lumen radius in stage 2. This phenomenon was found in all sections regardless of histological indication and independent of vessel wall constituent parts (intima, media, adventitia).\n\nConclusionsSimilar basic processes are defined in all sections regardless of histological rating, indicating un-altered physiology. As such, coronary atherosclerosis can only be defined by a large to small shift of the triplets {Delta}vessel wall trendline a-value. Consequently, no parameter of vessel wall pathology exists in absolute terms. Vessel wall composition has no importance for {Delta}lumen radius.

pathology↗