Olena Ishchuk

Dr. Olena Ishchuk

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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 May 2011 in Nature Communications
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Journal Article
Open access
ERElżbieta Rozpędowska
Elżbieta Rozpędowska
LHLinda Hellborg
Linda Hellborg
OIOlena Ishchuk
Olena Ishchuk
FOFurkan Orhan
Furkan Orhan
SGSilvia Galafassi
Silvia Galafassi
JPJure Piškur
Jure Piškur
Saccharomyces yeasts degrade sugars to two-carbon components, in particular ethanol, even in the presence of excess oxygen. This characteristic is called the Crabtree effect and is the background for the 'make-accumulate-consume' life strategy, which in natural habitats helps Saccharomyces yeasts to out-compete other microorganisms. A global promoter rewiring in the Saccharomyces cerevisiae lineage, which occurred around 100 mya, was one of the main molecular events providing the background for evolution of this strategy. Here we show that the Dekkera bruxellensis lineage, which separated from the Saccharomyces yeasts more than 200 mya, also efficiently makes, accumulates and consumes ethanol and acetic acid. Analysis of promoter sequences indicates that both lineages independently underwent a massive loss of a specific cis-regulatory element from dozens of genes associated with respiration, and we show that also in D. bruxellensis this promoter rewiring contributes to the observed Crabtree effect.

16 June 2014 in Yeast
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Journal Article
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ASAnna Judith Schifferdecker
Anna Judith Schifferdecker
SDSofia Dashko
Sofia Dashko
OIOlena Ishchuk
Olena Ishchuk
JPJure Piškur
Jure Piškur
Recently, the non‐conventional yeast Dekkera bruxellensis has been gaining more and more attention in the food industry and academic research. This yeast species is a distant relative of Saccharomyces cerevisiae and is especially known for two important characteristics: on the one hand, it is considered to be one of the main spoilage organisms in the wine and bioethanol industry; on the other hand, it is 'indispensable' as a contributor to the flavour profile of Belgium lambic and gueuze beers. Additionally, it adds to the characteristic aromatic properties of some red wines. Recently this yeast has also become a model for the study of yeast evolution. In this review we focus on the recently developed molecular and genetic tools, such as complete genome sequencing and transformation, to study and manipulate this yeast. We also focus on the areas that are particularly well explored in this yeast, such as the synthesis of off‐flavours, yeast detection methods, carbon metabolism and evolutionary history. © 2014 The Authors. Yeast published by John Wiley & Sons, Ltd.

1 July 2012 in International Journal of Food Microbiology
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Journal Article
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JPJure Piškur
Jure Piškur
ZLZhihao Ling
Zhihao Ling
MMMarina Marcet-Hoiben
Marina Marcet-Hoiben
OIOlena Ishchuk
Olena Ishchuk
AAAndrea Aerts
Andrea Aerts
TPTrevor Phister
Trevor Phister

18 July 2022 in Proceedings of the National Academy of Sciences
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Journal Article
Open access
OIOlena Ishchuk
Olena Ishchuk
IDIván Domenzain
Iván Domenzain
BSBenjamín J. Sánchez
Benjamín J. Sánchez
FMFacundo Rafael Muñiz-Paredes
Facundo Rafael Muñiz-Paredes
JMJosé Luis Martinez
José Luis Martinez
DPDina Petranovic
Dina Petranovic
Heme is an oxygen carrier and a cofactor of both industrial enzymes and food additives. The intracellular level of free heme is low, which limits the synthesis of heme proteins. Therefore, increasing heme synthesis allows an increased production of heme proteins. Using the genome-scale metabolic model (GEM) Yeast8 for the yeast Saccharomyces cerevisiae , we identified fluxes potentially important to heme synthesis. With this model, in silico simulations highlighted 84 gene targets for balancing biomass and increasing heme production. Of those identified, 76 genes were individually deleted or overexpressed in experiments. Empirically, 40 genes individually increased heme production (up to threefold). Heme was increased by modifying target genes, which not only included the genes involved in heme biosynthesis, but also those involved in glycolysis, pyruvate, Fe-S clusters, glycine, and succinyl-coenzyme A (CoA) metabolism. Next, we developed an algorithmic method for predicting an optimal combination of these genes by using the enzyme-constrained extension of the Yeast8 model, ecYeast8. The computationally identified combination for enhanced heme production was evaluated using the heme ligand-binding biosensor (Heme-LBB). The positive targets were combined using CRISPR-Cas9 in the yeast strain (IMX581- HEM15-HEM14-HEM3-Δshm1-HEM2-Δhmx1-FET4-Δgcv2-HEM1-Δgcv1-HEM13 ), which produces 70-fold-higher levels of intracellular heme.

1 November 2008 in FEMS Yeast Research
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Journal Article
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OIOlena Ishchuk
Olena Ishchuk
AVAndriy Y. Voronovsky
Andriy Y. Voronovsky
OSOleh Stasyk
Oleh Stasyk
GGGalina Gayda
Galina Gayda
MGMykhailo Gonchar
Mykhailo Gonchar
Andriy SibirnyAndriy Sibirny
Andriy Sibirny

2 July 2009 in Biotechnology and Bioengineering
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Journal Article
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OIOlena Ishchuk
Olena Ishchuk
AVAndriy Y. Voronovsky
Andriy Y. Voronovsky
CACharles A. Abbas
Charles A. Abbas
Andriy SibirnyAndriy Sibirny
Andriy Sibirny