Web page: http://www.rug.nl/corporate/index
P.O. Box 72
9700 AB Groningen
Institutions: University of Groningenhttps://orcid.org/0000-0001-6274-3633
I am a Professor in Medical Systems Biology and the University Medical Centre Groningen. The research in my lab is focused on complex regulation of mammalian lipid and carbohydrate metabolism, eventually aiming at network-based therapies. We combine dynamic computer simulations with quantitative metabolomics, 13C fluxomics, proteomics and transcriptome analysis, and in depth biochemical analysis. This allows to predict and understand ‘emergent’ properties, those properties that are counterintuitive
I am currently Professor of Systems Biology at the University of Manchester. My research interests focus on the development of innovative computational approaches for post-genomic systems biology, statistical methods for high-throughput biological experimentation and the dynamic modelling of cellular systems. This work is highly interdisciplinary and usually involves close collaboration with experimental biologists and clinicians. A recurrently theme is the study of complex cellular networks at
Expertise: Microbiology, Genetics, Molecular Biology, Bacillus subtilis, translational control of gene expression, sporulation, phenotypic heterogeneity, bistability, gene regulation, stress responses, Signal transduction in Gram-negative bacteria; Synthetic Microbiology; Single cell gene expression; Regulatory networks; biochemistry; histidine ki..., regulation of gene expression, Systems Biology
Tools: Microbiology, Genetics, Molecular Biology, Genetic analysis, Genetic modification, Model organisms, Single Cell analysis, PCR, Fluorecence based reporter gene analyses/single cell analyses, Molecular biology techniques (RNA/DNA), time lapse microscopy, Time-lapse fluorescence microscopy Flow cytometry
Expertise: Gram positive bacteria (Bacillus, Lactococcus, Streptococcus), competence, sporulation, germination, antimicrobial peptides, phenotypic heterogeneity, bistability, C- and N- metabolism, gene regulation, stress responses, pathogens, virulence factors, metal ion homeostasis, protein secretion
Group leader Molecular Genetics
Expertise: Genetics, Molecular Biology, Microarray analysis, Bacillus subtilis, phenotypic heterogeneity, gene regulation, stress responses, protein secretion, functional protein expression, microscopy, fluorescence protein fusions (transcriptional and translational), localisation studies
Tools: Genetic modification, Transcriptomics, Microarray analysis, Fluorecence based reporter gene analyses/single cell analyses, Site-directed mutagenesis, Fluorescence microscopy, Flow cytometry, Immunofluorescence, transposon mutagenesis, Molecular biology techniques (RNA/DNA/Protein), DNA affinity chromatography, EMSA
PhD student. Analyzing CcpA affinity to cre boxes (catabolite responsive elements) and response of B. subtilis to membrane protein overproduction stress.
Kosmobac, WP3, looking at diffusion of macromolecules in vivo (in E.coli cells) and cell responses to osmotic shock using confocal (fluorescence) microscopy especially pulsed - FRAP
MESI-STRAT: Systems Medicine of Metabolic-Signaling Networks -A New Concept for Breast Cancer Patient Stratification.
Breast cancer is a complex disease with high prevalence in the European Union and world-wide. 75%-80 of the patients have estrogen receptor-positive (ER)-positive tumors and are treated with endocrine therapies. Endocrine therapies, which block ER-driven tumor growth, show high efficacy. Yet, a significant proportion of the patients will eventually relapse with metastatic breast
PoLiMeR is funded through the EU Marie Skłodowska-Curie Innovative Training Network (ITN), which drives scientific excellence and innovation. ITNs bring together universities, research institutes, industry and clinical partners from across the world to train researchers to doctorate level.
Metabolic diseases are a burden on the European population and health care system. It is increasingly recognised that individual differences with respect to history, lifestyle, and genetic make-up affect disease
Global metabolic switching in Streptomyces coelicolor
Antibiotics are made during the second phase of growth when there is a transition in metabolism from primary to secondary metabolism. Primary metabolism is growth related and involves all the normal cellular activities associated with cell growth and division. Whereas secondary metabolism is non-growth linked and is non-essential but many important activities occur during this phase which help the bacterium survive.
Short-chain fatty-acids (SCFA) are produced from dietary fibres by the intestinal microbiota. They protect humans against obesity. The fate of SCFA and their impact on human fat metabolism is complex and dynamic. To optimally apply prebiotic (fibre) and probiotic (microbial) supplements, a better understanding of their mode of action is required. Our aim is to construct, infer, and analyse a dynamic, multiscale computational model predicting how dietary fibres affect the balance between fat intake
Programme: Independent Projects
Organisms: Not specified
Modelling carbon core metabolism in Bacillus subtilis – Exploring the contribution of protein complexes in core carbon and nitrogen metabolism.
Bacillus subtilis is a prime model organism for systems biology approaches because it is one of the most advanced models for functional genomics. Furthermore, comprehensive information on cell and molecular biology, physiology and genetics is available and the European Bacillus community (BACELL) has a well-established reputation for applying
The SilicoTryp project aims at the creation of a “Silicon Trypanosome”, a comprehensive, experiment-based, multi-scale mathematical model of trypanosome physiology.
Trypanosomes are blood-stream parasites transmitted by tsetse flies; they cause African sleeping sickness in humans and livestock. Currently available drugs have severe side effects, and the parasites are rapidly developing resistance.
In this project, we collect a wide range of new experimental data on the parasite in its various
Bistable switches are the key elements of the regulatory networks governing cell development, differentiation and life-strategy decisions. Transcriptional noise is a main determinant that causes switching between different states in bistable systems. By using the human pathogen Streptococcus pneumoniae as a model bacterium, we will investigate how transcriptional fidelity and processivity influence (noisy) gene expression and participate in bistability. To study this question, we will use both