Objectif Transcription factors (TF) regulate genome function by controlling gene expression. Comprehensive characterization of the in vivo binding of TF to the DNA in relevant primary models is a critical step towards a global understanding of the human genome. Recent advances in high-throughput genomic technologies provide an extraordinary opportunity to develop and apply systematic approaches to learn the underline principles and mechanisms of mammalian transcriptional networks. The premise of this proposal is that a tractable set of rules govern how cells commit to a specific cell type or respond to the environment, and that these rules are coded in regulatory elements in the genome. Currently our understanding of the mammalian regulatory code is hampered by the difficulty of directly measuring in vivo binding of large numbers of TFs to DNA across multiple primary cell types and their natural response to physiological stimuli.Here, we overcome this bottleneck by systematically exploring the genomic binding network of 1. All relevant TFs of key hematopoietic cells in both steady state and under relevant stimuli. 2. Follow the changes in TF networks as cells differentiate 3. Use these models to engineer cell states and responses. To achieve these goals, we developed a new method for automated high throughput ChIP coupled to sequencing (HT-ChIP-Seq). We used this method to measure binding of 40 TFs in 4 time points following stimulation of dendritic cells with pathogen components. We find that TFs vary substantially in their binding dynamics, genomic localization, number of binding events, and degree of interaction with other TFs. The analysis of this data suggests that the TF network is hierarchically organized, and composed of different types of TFs, cell differentiation factors, factors that prime for gene induction, and factors that bind more specifically and dynamically. This proposal revisits and challenges the current understanding of the mammalian regulatory code. Champ scientifique natural sciencesbiological sciencesgeneticsDNAnatural sciencesbiological sciencesgeneticsgenomes 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) Thème(s) ERC-SG-LS2 - ERC Starting Grant - Genetics,Genomics,Bioinformatics and Systems Biology Appel à propositions ERC-2012-StG_20111109 Voir d’autres projets de cet appel Régime de financement ERC-SG - ERC Starting Grant Institution d’accueil WEIZMANN INSTITUTE OF SCIENCE Contribution de l’UE € 1 500 000,00 Adresse HERZL STREET 234 7610001 Rehovot Israël Voir sur la carte Type d’activité Higher or Secondary Education Establishments Chercheur principal Ido Amit (Dr.) Contact administratif Gabi Bernstein (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire WEIZMANN INSTITUTE OF SCIENCE Israël Contribution de l’UE € 1 500 000,00 Adresse HERZL STREET 234 7610001 Rehovot Voir sur la carte Type d’activité Higher or Secondary Education Establishments Chercheur principal Ido Amit (Dr.) Contact administratif Gabi Bernstein (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée