The first ImmunocomplexiT meeting took place on October 23th 2012, 9:30 to 12:30
Complexity of the Immune system: from multi-scale data mining and integration to lymphocyte dynamics and repertoires modeling
Véronique Thomas-Vaslin / Chris Mc Ewan / Fabien Crauste / Wahiba Chaara / Alaa Abi-Haidar
09h30-10h00 Véronique Thomas-Vaslin : “Modeling T cell dynamics and differentiation”
10h00-10h30 Chris Mc Ewan : « Expressing and simulating cellular heterogeneity »
10h30-11h00 Fabien Crauste : « Modélisation de la réponse immunitaire primaire T CD8 aux échelles cellulaires et moléculaires »
11h15-11h45 Wahiba Chaara : « Diversité des répertoires lymphocytaires »
11h45-12h15 Alaa Abi-Haidar : “Data Mining: What Can we Learn from the Immune Literature ? »
12h15-12h30 Discussion générale-Conclusion
The immune system is a complex, biological, distributed, adaptive, cognitive and fluid system. Understanding the global organization, the emergent behaviour and the resilience of the complex immune system refers to transversal questions already mentioned by other complex systems. Indeed, other biological, social or ecological macro systems share similar problematic of population dynamics, and repertoire competition and selection processes. The study of the immune system takes into account various levels of organization, as recently proposed in “complexity of the immune system” in the French roadmap “from molecule to organism “in their space-time dimension.
Approaches in biology of the complex systems and systems immunology will be presented by participants from the thematic RNSC network “ImmunoComplexiT” : Integration of multiscale and multiparameter immunological data from molecules to organism to model the immune system.
The integration of multi-parameter immunological data at multiscale level by top-down statistical modelling and bottom-up mathematical and computer modelling will be presented. Development of graphical formalism allows describing immunological objects and processes at different granularity to provide visual dynamic modelling and simulations of physiology or perturbations related to immunopathologies or treatments. Moreover, data mining and semantic interoperable computational approach lead to a better understanding of the complexity of the immuno-physiome. Assessment of variability, diversity, perturbation of the immune system through aging and immune responses is key to understand its complex dynamics, behaviour, robustness, memory…etc.
Several examples in these domains will be presented and discussed.