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Design of a multicellular feedback control strategy in a synthetic bacterial consortium

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Design of a multicellular feedback control strategy in a synthetic bacterial consortium. / Fiore, Gianfranco; Matyjaszkiewicz, Antoni; Annunziata, Fabio; Grierson, Claire; Savery, Nigel J.; Marucci, Lucia; Di Bernardo, Mario.

2016 IEEE 55th Conference on Decision and Control (CDC 2016): Proceedings of a meeting held 12-14 December 2016, Las Vegas, Nevada, USA. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 3338-3343 7798771.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Fiore, G, Matyjaszkiewicz, A, Annunziata, F, Grierson, C, Savery, NJ, Marucci, L & Di Bernardo, M 2017, Design of a multicellular feedback control strategy in a synthetic bacterial consortium. in 2016 IEEE 55th Conference on Decision and Control (CDC 2016): Proceedings of a meeting held 12-14 December 2016, Las Vegas, Nevada, USA., 7798771, Institute of Electrical and Electronics Engineers (IEEE), pp. 3338-3343, 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, United States, 12/12/16. https://doi.org/10.1109/CDC.2016.7798771

APA

Fiore, G., Matyjaszkiewicz, A., Annunziata, F., Grierson, C., Savery, N. J., Marucci, L., & Di Bernardo, M. (2017). Design of a multicellular feedback control strategy in a synthetic bacterial consortium. In 2016 IEEE 55th Conference on Decision and Control (CDC 2016): Proceedings of a meeting held 12-14 December 2016, Las Vegas, Nevada, USA (pp. 3338-3343). [7798771] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CDC.2016.7798771

Vancouver

Fiore G, Matyjaszkiewicz A, Annunziata F, Grierson C, Savery NJ, Marucci L et al. Design of a multicellular feedback control strategy in a synthetic bacterial consortium. In 2016 IEEE 55th Conference on Decision and Control (CDC 2016): Proceedings of a meeting held 12-14 December 2016, Las Vegas, Nevada, USA. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 3338-3343. 7798771 https://doi.org/10.1109/CDC.2016.7798771

Author

Fiore, Gianfranco ; Matyjaszkiewicz, Antoni ; Annunziata, Fabio ; Grierson, Claire ; Savery, Nigel J. ; Marucci, Lucia ; Di Bernardo, Mario. / Design of a multicellular feedback control strategy in a synthetic bacterial consortium. 2016 IEEE 55th Conference on Decision and Control (CDC 2016): Proceedings of a meeting held 12-14 December 2016, Las Vegas, Nevada, USA. Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 3338-3343

Bibtex

@inproceedings{ff67c4f795354c4f8d9396e5ed526f3f,
title = "Design of a multicellular feedback control strategy in a synthetic bacterial consortium",
abstract = "Living organisms employ endogenous negative feedback loops to maintain homeostasis despite environmental fluctuations. An intriguing challenge in Synthetic Biology is that of designing and implementing synthetic circuits to control host cells’ behavior, thus mimicking what natural evolution has refined and conserved. The high degree of circuit complexity required to accomplish this task, and the intrinsic modularity of classical control schemes, 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, to different cell populations within a consortium allows to reduce the genetic engineering in a particular cell and to increase the robustness as well as the possibility of reusing the synthesized circuits. Here we propose and study, in-silico, the design of a synthetic microbial consortium implementing a feedback controller across two cell populations.",
keywords = "synthetic biology",
author = "Gianfranco Fiore and Antoni Matyjaszkiewicz and Fabio Annunziata and Claire Grierson and Savery, {Nigel J.} and Lucia Marucci and {Di Bernardo}, Mario",
year = "2017",
month = "4",
doi = "10.1109/CDC.2016.7798771",
language = "English",
isbn = "9781509018383",
pages = "3338--3343",
booktitle = "2016 IEEE 55th Conference on Decision and Control (CDC 2016)",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
address = "United States",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - Design of a multicellular feedback control strategy in a synthetic bacterial consortium

AU - Fiore, Gianfranco

AU - Matyjaszkiewicz, Antoni

AU - Annunziata, Fabio

AU - Grierson, Claire

AU - Savery, Nigel J.

AU - Marucci, Lucia

AU - Di Bernardo, Mario

PY - 2017/4

Y1 - 2017/4

N2 - Living organisms employ endogenous negative feedback loops to maintain homeostasis despite environmental fluctuations. An intriguing challenge in Synthetic Biology is that of designing and implementing synthetic circuits to control host cells’ behavior, thus mimicking what natural evolution has refined and conserved. The high degree of circuit complexity required to accomplish this task, and the intrinsic modularity of classical control schemes, 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, to different cell populations within a consortium allows to reduce the genetic engineering in a particular cell and to increase the robustness as well as the possibility of reusing the synthesized circuits. Here we propose and study, in-silico, the design of a synthetic microbial consortium implementing a feedback controller across two cell populations.

AB - Living organisms employ endogenous negative feedback loops to maintain homeostasis despite environmental fluctuations. An intriguing challenge in Synthetic Biology is that of designing and implementing synthetic circuits to control host cells’ behavior, thus mimicking what natural evolution has refined and conserved. The high degree of circuit complexity required to accomplish this task, and the intrinsic modularity of classical control schemes, 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, to different cell populations within a consortium allows to reduce the genetic engineering in a particular cell and to increase the robustness as well as the possibility of reusing the synthesized circuits. Here we propose and study, in-silico, the design of a synthetic microbial consortium implementing a feedback controller across two cell populations.

KW - synthetic biology

UR - http://www.scopus.com/inward/record.url?scp=85010801618&partnerID=8YFLogxK

U2 - 10.1109/CDC.2016.7798771

DO - 10.1109/CDC.2016.7798771

M3 - Conference contribution

AN - SCOPUS:85010801618

SN - 9781509018383

SP - 3338

EP - 3343

BT - 2016 IEEE 55th Conference on Decision and Control (CDC 2016)

PB - Institute of Electrical and Electronics Engineers (IEEE)

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