Abstract：
:Living organisms employ endogenous negative feedback loops to maintain homeostasis despite environmental fluctuations. A pressing open challenge in Synthetic Biology is to design and implement synthetic circuits to control host cells' behavior, in order to regulate and maintain desired conditions. To cope with the high degree of circuit complexity required to accomplish this task and the intrinsic modularity of classical control schemes, we suggest the implementation of synthetic endogenous feedback loops across more than one cell population. The distribution of the sensing, computation, and actuation functions required to achieve regulation across different cell populations within a consortium allows the genetic engineering in a particular cell to be reduced, increases the robustness, and makes it possible to reuse the synthesized modules for different control applications. Here, we analyze, in-silico, the design of a synthetic feedback controller implemented across two cell populations in a consortium. We study the effects of distributing the various functions required to build a control system across two populations, prove the robustness and modularity of the strategy described, and provide a computational proof-of-concept of its feasibility.
journal_name
ACS Synth Bioljournal_title
ACS synthetic biologyauthors
Fiore G,Matyjaszkiewicz A,Annunziata F,Grierson C,Savery NJ,Marucci L,di Bernardo Mdoi
10.1021/acssynbio.6b00220subject
Has Abstractpub_date
2017-03-17 00:00:00pages
507-517issue
3issn
2161-5063journal_volume
6pub_type
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