Team:William and Mary/Description


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Description

Motivation

Genetic circuits exist in great abundance in nature as complex metabolic pathways which interact in various ways to perform vital cellular processes. Synthetic biologists aim to not only understand naturally occurring circuit networks, but also to modify them or to conceptualize and build entirely new circuits.

The inherent versatility of synthetic genetic circuitry has lead to a vast array of diverse applications in countless fields. However, the field remains fundamentally limited by the magnitude and specificity of behavioral control over genetic circuits and circuit networks. These limitations can be boiled down to two essential problems: inherent constraints to behavior based on the nature of a circuit’s constituent genes, and the inefficiency of the “design-build-test” cycle which is relied upon for the construction of effective circuit models.

The fundamental constraints of integral circuit components limit the ability to design and construct genetic circuits of arbitrary and highly specific behavior. When constructing a circuit with some intended behavior, design is limited by the available input-specific regulators to gene expression and their characteristic regulatory behavior. In order to achieve more precise behavioral control, the ability to tune expression levels of regulatory elements to some desired level is vital. This limitation highlights the need for genetic devices that can modify the behavior of arbitrary genetic circuits; implementing these devices would enable precise behavioral control invariant to the constraints of the constituent genes that make up the circuit in question [1].