DS0702 -

Interconnection and feedback control of two cyclic modules in mammalian cells – ICycle

Submission summary

ICycle is an interdisciplinary, fundamental research project, in an exciting new field merging control theory, systems biology and synthetic biology. Its overall goal is to understand the communication pathways between two primary cellular modules, the cell division cycle and the circadian clock genes, using both mathematical and simulation tools, control theory and synthetic biology techniques.
Mammalian cells have evolved highly sophisticated intracellular communication pathways to enable their development and growth, under multiple environmental stresses and stimulus (nutrition availability, temperature or light changes, etc.). Two major cyclic processes are at the basis of cell development: the cell cycle and the circadian clock, both of which have been separately studied and dissected from many diverse points of view. Circadian disruption is increasingly recognized as a risk factor for the development of malignant disorders, while cell cycle deregulation is a hallmark of cancer cells. Thus, it becomes critical to understand the links between the cell cycle and circadian clock oscillators and the relevance of their coupling for biological and pathophysiological aspects.

From a mechanistic point of view, the interaction between cell cycle and circadian clock can be represented as a control theoretic problem, with an input/output system and its controller. Directly studying the mechanisms of interaction between these two cellular modules is a most challenging task, due to the intrinsic complexity of the networks, the difficulty in isolating specific events in a ``natural'' cell, and the demanding experimental techniques. In ICycle we propose to circumvent these difficulties by combining a control theory interpretation with a synthetic biology approach: first, mathematically design two circuits to exhibit dynamical behaviors similar to the two mammalian oscillators and then synthetically assemble those circuits from molecular components (DNA sequences, proteins, or metabolites) to verify and confirm or invalidate the hypothesized mechanism.

The interconnection of two synthetically engineered systems is a novel step in synthetic biology and ICycle proposes an original approach to accomplish the task, by acting at three levels comprising model construction, theoretical control development for synthetic biology, and biological implementation. Accordingly, there are three main objectives: (i) obtain a set of minimal mathematical models to represent the cell cycle and the circadian clock, mimic their oscillatory behavior and study possible interconnection mechanisms. This will provide a computational platform for numerical analysis and in silico synthetic biology experiments; (ii) design control theoretical strategies for coupling two biological oscillators, control the strength of their interconnection, and the mutual regulation of their frequencies and phases; and, finally, (iii) generate a mammalian cell line which robustly expresses two minimal oscillators, using both transcriptional and translational control.

To achieve these objectives the project joins researchers in the fields of applied mathematics and control theory, systems biology, molecular biology and the biology of mammalian cell cycle and circadian clock. ICycle's contributions include innovative mathematical methodologies, new control strategies that take into account the individual constraints and properties of molecular components and, finally, new experimental protocols in synthetic biology for biomedical applications. Indeed, an important potential application of the work developed in ICycle lies in the area of cancer chronotherapy. Recent results show that cell cycle can be synchronized with the circadian clock. Therefore, suitably controlling the circadian clock period and/or phase may lead to slowing down the cell cycle, thereby reducing the number of cell divisions and contributing to fight cancer growth.

Project coordination

Madalena Chaves (Institut National de Recherche en Informatique et Automatique)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partner

CNRS DR20_IBV Centre National de la Recherche Scientifique délégation Côte d'Azur_Institut de Biologie Valrose
INRA - MaIAGE UR 1404 MaIAGE, Institut National de la Recherche Agronomique
INRIA Institut National de Recherche en Informatique et Automatique

Help of the ANR 405,080 euros
Beginning and duration of the scientific project: January 2017 - 36 Months

Useful links

Explorez notre base de projets financés

 

 

ANR makes available its datasets on funded projects, click here to find more.

Sign up for the latest news:
Subscribe to our newsletter