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UID:7249@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20180910T113000
DTEND;TZID=Europe/Paris:20180910T123000
DTSTAMP:20241120T203847Z
URL:https://www.i2m.univ-amu.fr/evenements/modelling-the-regulatory-networ
 k-controlling-blood-cells-specification-and-reprogramming-samuel-collombet
 /
SUMMARY:Samuel Collombet (IBENS\, ENS Paris): Modelling the regulatory netw
 ork controlling blood cells specification and reprogramming - Samuel Collo
 mbet
DESCRIPTION:Samuel Collombet: Blood cells arise from a common set of hemato
 poietic stem cells that differentiate into more specific progenitors\, ult
 imately leading to different functional lineages. This process relies on t
 he activation and repression of different genes modules\, controlled by tr
 anscription factors (TFs). Novel high-throughput technologies allow the ch
 aracterisation 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 reg
 ulatory interactions\, which can be modelled and analysed using formal met
 hods\, thereby fostering our understanding of the mechanisms controlling c
 ell fate at a system level\, and enabling the prediction of the effects of
  molecular perturbations in silico.\n\nCombining public and novel data fro
 m molecular genetic experiments (qPCR\, western blot\, EMSA) or genome-wid
 e assays (RNA-seq\, ChIP-seq)\, we have assembled a comprehensive regulato
 ry network encompassing the main transcription factors and signalling comp
 onents involved in myeloid and lymphoid development. Using a multilevel lo
 gical framework\, we built a dynamical model allowing us to simulate cells
  differentiation\, commitment and reprogramming in silico.\n\nTo improve t
 he accuracy of our model\, we performed a meta-analysis of all available T
 F ChIP-seq datasets in myeloid and lymphoid cells\, confirming previously 
 known regulations or confirming new ones (26 confirmed and 66 predicted re
 gulations). We then iteratively added some predicted regulations to our mo
 del\, performed static or dynamical analysis (stables states analysis or d
 ifferentiation/reprogramming simulations)\, and compared the results with 
 data (phenotypes or gene expression). We therefore predicted several impor
 tant\, previously unknown regulations that we could confirmed experimental
 ly.\n\nhttp://www.ibens.ens.fr/spip.php?article94
ATTACH;FMTTYPE=image/jpeg:https://www.i2m.univ-amu.fr/wp-content/uploads/2
 020/01/Samuel_Collombet.jpg
CATEGORIES:Séminaire,MABioS
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DTSTART:20180325T030000
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