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<p class='h2WM' style='padding-left:70px; padding-top: 0px;'> | <p class='h2WM' style='padding-left:70px; padding-top: 0px;'> | ||
− | + | Motivation | |
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<p class='large' style="color:#A9A9A9;"> | <p class='large' style="color:#A9A9A9;"> | ||
− | + | 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. | |
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<div class="description"> | <div class="description"> | ||
<p class='large' style="padding-left:70px;"> | <p class='large' style="padding-left:70px;"> | ||
− | + | 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. |
+ | </p> | ||
+ | <p class='large' style="padding-left:70px;"> | ||
+ | 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]. | ||
+ | </p> | ||
</div> | </div> | ||
</div> | </div> |
Revision as of 09:36, 19 October 2016
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].
Description