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Bas Teusink

Researcher at VU University Amsterdam

Publications -  208
Citations -  12497

Bas Teusink is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Metabolic network & Saccharomyces cerevisiae. The author has an hindex of 56, co-authored 193 publications receiving 10872 citations. Previous affiliations of Bas Teusink include University of Amsterdam & Delft University of Technology.

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Metabolic shifts: a fitness perspective for microbial cell factories

Anisha Goel, +4 more
- 31 Aug 2012 - 
TL;DR: It is argued that by considering fitness effects of regulation, a more generic explanation for certain behaviour can be obtained and a deeper understanding of such trade-offs using a systems biology approach can ultimately enhance performance of cell factories.
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Response of apolipoprotein E*3-Leiden transgenic mice to dietary fatty acids: combining liver proteomics with physiological data.

Baukje de Roos, +8 more
- 01 May 2005 - 
TL;DR: The combination of proteomics and physiology gave new insights in mechanisms by which these dietary fatty acids regulate lipid metabolism and related pathways, for example, by altering protein levels of long‐chain acyl‐CoA thioester hydrolase and adipophilin in the liver.

Genome data mining of lactic acid bacteria: the impact of

Roland J. Siezen, +3 more
TL;DR: Reconstruction of metabolic potential using bioinformatics tools and databases, followed by targeted experimental verification and exploration of the metabolic and regulatory network properties, are the present challenges that should lead to improved exploitation of these versatile food bacteria.
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Intestinal lipid absorption is not affected in CD36 deficient mice

Jeltje R. Goudriaan, +6 more
- 01 Oct 2002 - 
TL;DR: The results suggest that CD36 does not play a role in intestinal lipid absorption after an acute lipid load, and no differences in plasma appearance of 3H-label or 14C-label were observed in CD36–/– mice compared to wild type controls.
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Predicting Metabolic Fluxes Using Gene Expression Differences As Constraints

Rogier J. P. Van Berlo, +5 more
- 01 Jan 2011 - 
TL;DR: This work provides a new algorithm that directly uses regulatory up/down constraints based on gene expression data in FBA optimization (tFBA), and shows that changes in gene expression are predictive for changes in fluxes.