What do we do?
The aim of systems biology is to achieve a quantitative and dynamic understanding of cellular networks by combining experimental data with theoretical and computational methodologies. At the Computational Systems Biology Group our interest lies in the regulatory and cellular networks involved in oncogenic signalling, cell-cycle regulation, and molecular oscillators. Data obtained from technologies such as microarrays, chromatin-immunoprecipitation (ChIP) and genome sequencing are brought together to discover regulatory dependencies between genes and regulatory proteins involved in cell proliferation. One thematic focus is the study of biomolecular oscillators, in particular the circadian clock.
The group’s major highlights in 2016 included the analysis of the nuclear proteome as a function of time in the mouse liver, and the analysis of temperature dependent RNA processing, notably for the Cirbp gene.
Main publications 2016
- Nuclear Proteomics Uncovers Diurnal Regulatory Landscapes in Mouse Liver. Wang J, Mauvoisin D, Martin E, Atger F, Galindo AN, Dayon L, Sizzano F, Palini A, Kussmann M, Waridel P, Quadroni M, Dulić V, Naef F*, Gachon F*. Cell Metab. 2017 Jan 10;25(1):102-117. Co-corresponding authors
- Temperature regulates splicing efficiency of the cold-inducible RNA-binding protein gene Cirbp. Gotic I, Omidi S, Fleury-Olela F, Molina N, Naef F, Schibler U. Genes Dev. 2016 Sep 1;30(17):2005-17.
- Revealing Assembly of a Pore-Forming Complex Using Single-Cell Kinetic Analysis and Modeling. Bischofberger M, Iacovache I, Boss D, Naef F, van der Goot FG, Molina N. Biophys J. 2016 Apr 12;110(7):1574-81.