I am an Associate Professor in Systems Biology and the University Medical Centre Groningen. My research aims at understanding how energy metabolism is integrated and regulated. My work includes experimental, modelling as well as theoretical research. Recently I studied how metabolic regulation and gene-expression regulation work together towards in integrated response, e.g. when parasites are confronted with chemical inhibitors. Much of my work has been about the regulation of glycolysis and its various modes of action (steady-state, oscillations, turbo explosion).
My current research deals with the integration of different metabolic pathways. Research lines include:
- Switching between lipids and carbohydrates and how this is affected in various metabolic diseases;
- The relation between metabolism and biologial ageing;
- The integration of redox and energy metabolism in African trypanosomes (SysMO project).
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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
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
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
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
SBML file supplementary material of the publication.
Contributor: Fiona Achcar
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified
Organism: Trypanosoma brucei
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
Date Published: 26th Aug 2014
Journal: Mol Microbiol
PubMed ID: 25145465
Date Published: 8th May 2012
Journal: Int J Parasitol
PubMed ID: 22580731
Date Published: 17th Jan 2013
Journal: PLoS Negl Trop Dis
PubMed ID: 23350008
Date Published: 5th Dec 2013
Journal: PLoS Comput Biol
PubMed ID: 24339766
Authors: Fiona Achcar, Abeer Fadda, Jurgen Haanstra, Eduard Kerkhoven, Dong-Hyun Kim, Alejandro Leroux, Federico Rojas, Barbara Bakker, Mike Barrett, Christine Clayton, Mark Girolami, Luise Krauth-Siegel, Keith Matthews, Rainer Breitling, Papamarkou T.
Date Published: 7th May 2014
Journal: Adv Microb Physiol
PubMed ID: 24797926
Date Published: 3rd Jul 2013
Journal: J. Biol. Chem.
PubMed ID: 23814051
Date Published: 19th Jan 2012
Journal: PLoS Comput Biol
Date Published: 17th Feb 2010
PubMed ID: 20158937
Date Published: 6th May 2010
PubMed ID: 20444304