CoReNe stands for Control of Regulatory Networks. Regulatory networks are essential to the understanding of central biological processes such as stem cell differentiation, pattern formation, and mitochondrial biogenesis. They are built from different types of components such as signalling receptors, signalling cascades, transcription factors, and microRNAs. The latter class of regulators is known to orchestrate cellular processes by translational inhibition. The challenge addressed in the CoReNe project is the search for principles underlying gene regulation with a focus on microRNAs.

CoReNe is organized as a network joining molecular biology with theoretical modules organized around a systems biology core group. This collaborative approach allows us to tightly couple theoretical work with experimental data. Based on reference models of regulatory networks, systems biologists, statisticians, bioinformaticians, mathematicians, and computer-scientists generate models and hypotheses that are tested in the lab and later on adapted and expanded. The biological systems analysed include stem cell differentiation and neural development. Both systems are known to be heavily targeted by microRNAs, although specific functions are yet to be unraveld. Theoretical approaches taken are qualitative and quantitative modelling, extended by stochastic simulations, fuzzy computation, and systems theory.

Participants from experimental biology:

 Theoretical contributions:

  External partners:

Project Overview (source: HMGU)