Design, optimization and control
in systems and synthetic biology
Paris, June 11-12, 2012
The main aim of quantitative systems biology is to obtain a quantitative understanding of the functioning of biological systems at the cellular and tissue levels. To reach this goal, significant research efforts have been made to combine quantitative modeling approaches and state-of-the-art live-cell observation methods, notably via the joint use of time-lapse microscopy, reporter genes techniques and microfluidics.
Although mainly developed with the objective of helping with better understanding the complex functioning of biological system, this approach has also been applied to two other problems. Firstly, it plays a central role to support the rational design and optimization of engineered biological systems in synthetic biology. Secondly, it has been instrumental to the development of novel methods for the control of intracellular processes at the cell level.
This workshop focuses on these two recent research directions. Its main aim is to gather during two days, leading international scientists who significantly contributed to these domains. Topics of particular interest include long-term imaging of cellular processes, microfluidics, synthetic biology, quantitative modeling of biomolecular processes, and control theory applied to biological systems.
Keywords: quantitative biology, microfluidics and single cell biology, biological noise, control and optimization, synthetic biology, deterministic and stochastic modeling.
Registration: Registration is free but mandatory. The workshop will happen in June at ENS Paris, located in the heart of Quartier Latin.
The list of confirmed speakers include
- Gilles Charvin (IGMBC, France): Continuous monitoring of the transition to replicative senescence in single yeast cells, [abstract] [video]
- Hidde de Jong (INRIA, France): Shared control of gene expression in bacteria by transcription factors and global physiological state, [abstract] [video]
- Domitilla Del Vecchio (MIT, USA): A control theory approach to engineering biomolecular circuits, [abstract] [video]
- Diego di Bernardo (Tigem, Italy): Modelling and control of gene networks: from yeast to mammals, [abstract] [video]
- Pascal Hersen (CNRS, Paris): Long-term model predictive control of gene expression at the population and single-cell levels, [abstract] [video]
- Alfonso Jaramillo (ISSB, France): Engineering transcriptional and post-transcriptional circuits with targeted behavior in E. coli, [abstract] [video]
- Eric Klavins (U. Washington, USA): Toward engineered multi-cell behaviors, [abstract] [video]
- Heinz Koeppl (ETHZ, Switzerland): Identification and optimal excitation of stochastic reaction dynamics, [abstract] [video]
- Wendell Lim (UCSF, USA): Learning to program cell signaling: Design of spatial self-organizing systems and fast response circuits, [abstract] [video]
- Ariel Lindner (INSERM, France): Propagation of phenotypic variability within bacterial lineages, [abstract] [video]
- John Lygeros (ETHZ, Switzerland): In silico control of gene expression in yeast, [abstract] [video]
- Brian Munsky (LANL, USA): Using spatial and temporal fluctuations to identify predictive quantitative models of gene regulatory pathways, [abstract] [video]
- Guy-Bart Stan (Imperial college, UK): Taking a systems control approach in biology, [abstract] [video]
- and Ron Weiss (MIT, USA): Integrated computational and experimental approach to engineering complex behavior in living systems, [abstract] [video]
This interdisciplinary workshop will be of interest for biologists looking for innovative means to probe the functionning of cellular systems, notably at the single-cell level, physicists developping innovative microfluidics or microscopy systems, and mathematicians and computer scientists working on modeling and control of biological systems.