Objective The adult human organism contains heterogeneous reservoirs of pluripotent stem cells characterized by a diversified differentiation potential. Understanding their biology at a system level would advance our ability to selectively activate and control their differentiation potential. Aside from the basic implications this would represent a substantial progress in regenerative medicine by providing a rational framework for using small molecules to control cell trans-determination and reprogramming.Here we propose a combined experimental and modelling approach to assemble a predictive model of mesoderm stem cell differentiation. Different cell states are identified by a vector in the differentiation hyperspace, the coordinates of the vector being the activation levels of a large number of nodes of a logic model linking the cell signalling network to the transcription regulatory network.The premise of this proposal is that differentiation is equivalent to rewiring the cell regulatory network as a consequence of induced perturbation of the gene expression program. This process can be rationally controlled by perturbing specific nodes of the signalling network that in turn control transcription factor activation. We will develop this novel strategy using the mesoangioblast ex vivo differentiation system. Mesoangioblasts are one of the many different types of mesoderm stem/progenitor cells that exhibit myogenic potential. Ex vivo, they readily differentiate into striated muscle. However, under appropriate conditions they can also differentiate, into smooth muscle and adipocytes, albeit less efficiently. We will start by assembling, training and optimizing different predictive models for the undifferentiated mesoangioblast. Next by a combination of experiments and modelling approaches we will learn how, by perturbing the signalling models with different inhibitors and activators we can rewire the cell networks to induce trans-determination or reprogramming. Fields of science natural sciencesbiological sciencescell biologycell signalingmedical and health sciencesmedical biotechnologycells technologiesstem cells Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) ERC-AG-LS2 - ERC Advanced Grant - Genetics, Genomics, Bioinformatics and Systems Biology Call for proposal ERC-2012-ADG_20120314 See other projects for this call Funding Scheme ERC-AG - ERC Advanced Grant Host institution UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA EU contribution € 2 639 804,00 Address VIA CRACOVIA 50 00133 Roma Italy See on map Region Centro (IT) Lazio Roma Activity type Higher or Secondary Education Establishments Principal investigator Giovanni Cesareni (Prof.) Administrative Contact Giuseppe Novelli (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Beneficiaries (1) Sort alphabetically Sort by EU Contribution Expand all Collapse all UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA Italy EU contribution € 2 639 804,00 Address VIA CRACOVIA 50 00133 Roma See on map Region Centro (IT) Lazio Roma Activity type Higher or Secondary Education Establishments Principal investigator Giovanni Cesareni (Prof.) Administrative Contact Giuseppe Novelli (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data
