Institut de Mathématiques de Marseille, UMR 7373




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10 septembre 2018: 2 événements

Séminaire

  • Agenda ERC IChaos

    Du 11 août au 14 septembre - A.BUFETOV

    Scientific collaboration

    Résumé : 1) with Alexey KLIMENKO and Andrey DYMOV at the Steklov Institute of Moscow
    2) with Pavel NIKITIN and Sergey BEREZIN at the Steklov Institute of St.Petersburg

    Lieu : Moscow & St-Petersburg - Russia

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En savoir plus : Agenda ERC IChaos

  • Séminaire Mathématiques et Algorithmique pour la Biologie des Systèmes (MABioS)

    Lundi 10 septembre 11:30-12:30 - Samuel COLLOMBET - IBENS, Paris

    Modelling the regulatory network controlling blood cells specification and reprogramming

    Résumé : Blood cells arise from a common set of hematopoietic stem cells that differentiate into more specific progenitors, ultimately leading to different functional lineages. This process relies on the activation and repression of different genes modules, controlled by transcription factors (TFs). Novel high-throughput technologies allow the characterisation of cell-specific regulatory elements by studying chromatin state and TFs binding sites, in conjunction with gene expression. Proper integration and analysis of these data enable the delineation of novel regulatory interactions, which can be modelled and analysed using formal methods, thereby fostering our understanding of the mechanisms controlling cell fate at a system level, and enabling the prediction of the effects of molecular perturbations in silico.
    Combining public and novel data from molecular genetic experiments (qPCR, western blot, EMSA) or genome-wide assays (RNA-seq, ChIP-seq), we have assembled a comprehensive regulatory network encompassing the main transcription factors and signalling components involved in myeloid and lymphoid development. Using a multilevel logical framework, we built a dynamical model allowing us to simulate cells differentiation, commitment and reprogramming in silico.
    To improve the accuracy of our model, we performed a meta-analysis of all available TF ChIP-seq datasets in myeloid and lymphoid cells, confirming previously known regulations or confirming new ones (26 confirmed and 66 predicted regulations). We then iteratively added some predicted regulations to our model, performed static or dynamical analysis (stables states analysis or differentiation/reprogramming simulations), and compared the results with data (phenotypes or gene expression). We therefore predicted several important, previously unknown regulations that we could confirmed experimentally.

    JPEG - 10 ko
    Samuel COLLOMBET

    Lieu : Salle de réunion du 3ème étage - Institut de Mathématiques de Marseille (UMR 7373)
    Site Sud - Bâtiment TPR2
    Campus de Luminy, Case 907
    13288 MARSEILLE Cedex 9

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    Document(s) associé(s) :

    En savoir plus : Séminaire Mathématiques et Algorithmique pour la Biologie des Systèmes (MABioS)

  • 10 septembre 2018: 1 événement

    Manifestation scientifique