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Diversity and Plasticity of Th Cell Types Predicted from Regulatory Network Modelling.
Naldi A., Carneiro J., Chaouiya C., Thieffry D.
PLoS Computational Biology 6, 9 (2010) e1000912 - http://www.hal.inserm.fr/inserm-00704876
 (20824124) 
Diversity and Plasticity of Th Cell Types Predicted from Regulatory Network Modelling.
Aurélien Naldi1, 2, Jorge Carneiro3, Claudine Chaouiya1, 3, Denis Thieffry () 1, 4, 5
1 :  Technologie avancée pour le génome et la clinique
INSERM : U928 – Université de la Méditerranée - Aix-Marseille II
Parc scientifique de Luminy 163 avenue de Luminy, case928 13288 Marseille Cedex 09
France
2 :  Centre intégratif de génomique
http://www.unil.ch/cig/
Université de Lausanne
Génopode - CH-1015 Lausanne
Suisse
3 :  IGC - Instituto Gulbenkian de Ciência [Oeiras]
http://www.igc.gulbenkian.pt/node/view/4
Fundação Calouste Gulbenkian
Apartado 14 P-2781-901 Oeiras
Portugal
4 :  Institut de biologie de l'école normale supérieure
INSERM : U1024 – Ecole normale supérieure de Paris - ENS Paris – CNRS : UMR8197
Paris
France
5 :  INRIA Rocquencourt - CONTRAINTES
INRIA
France
Alternative cell differentiation pathways are believed to arise from the concerted action of signalling pathways and transcriptional regulatory networks. However, the prediction of mammalian cell differentiation from the knowledge of the presence of specific signals and transcriptional factors is still a daunting challenge. In this respect, the vertebrate hematopoietic system, with its many branching differentiation pathways and cell types, is a compelling case study. In this paper, we propose an integrated, comprehensive model of the regulatory network and signalling pathways controlling Th cell differentiation. As most available data are qualitative, we rely on a logical formalism to perform extensive dynamical analyses. To cope with the size and complexity of the resulting network, we use an original model reduction approach together with a stable state identification algorithm. To assess the effects of heterogeneous environments on Th cell differentiation, we have performed a systematic series of simulations considering various prototypic environments. Consequently, we have identified stable states corresponding to canonical Th1, Th2, Th17 and Treg subtypes, but these were found to coexist with other transient hybrid cell types that co-express combinations of Th1, Th2, Treg and Th17 markers in an environment-dependent fashion. In the process, our logical analysis highlights the nature of these cell types and their relationships with canonical Th subtypes. Finally, our logical model can be used to explore novel differentiation pathways in silico.
Sciences du Vivant/Biochimie, Biologie Moléculaire/Génomique, Transcriptomique et Protéomique
Anglais
1553-734X

Articles dans des revues avec comité de lecture
10.1371/journal.pcbi.1000912
PLoS Computational Biology (PLoS Comput Biol)
Publisher Public Library of Science
ISSN 1553-734X (eISSN : 1553-7358)
internationale
2010
02/09/2010
6
9
e1000912

Animals – Cell Differentiation – Humans – Interleukins – Lymphocyte Activation – Mice – Models – Immunological – Signal Transduction – Systems Biology – T-Lymphocytes – Helper-Inducer – Transcription Factors
This work has been supported by the French National Agency (projects ANR-06-BYOS-0006 and ANR-08-SYSC-003), the Belgian Science Policy Office (IAP BioMaGNet), and the Calouste Gulbenkian Foundation
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journal.pcbi.1000912.pdf(525.9 KB)

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