On the modelling of a bistable genetic switch

Lucia Santoso; Alexander Lanzon

doi:10.1109/cdc.2006.377249

On the modelling of a bistable genetic switch

Lucia Santoso^*, Alexander Lanzon

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

A bistable switch is a common motif in a genetic regulatory network. There have been relatively few in vivo measurements made of such a network. Its natural closed loop nature makes the living switch difficult to measure experimentally. Hence not much have been reported on derivation of a model from in vivo data, which is expected to be different from the macroscopic scale in vitro measurements. We present a heuristic for modelling a naturally occurring switch from relatively few in vivo experimental data points, yielding a model suited to dynamical simulation, and give predictions of the unmeasured protein in the system.

Original language	English
Title of host publication	Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	31-36
Number of pages	6
ISBN (Print)	1424401712, 9781424401710
DOIs	https://doi.org/10.1109/cdc.2006.377249
Publication status	Published - 2006
Event	45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, United States Duration: 13 Dec 2006 → 15 Dec 2006

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	45th IEEE Conference on Decision and Control 2006, CDC
Country/Territory	United States
City	San Diego, CA
Period	13/12/06 → 15/12/06

Access to Document

10.1109/cdc.2006.377249

Cite this

@inproceedings{1a3d2533231f4195a1d4ee34ac138f88,

title = "On the modelling of a bistable genetic switch",

abstract = "A bistable switch is a common motif in a genetic regulatory network. There have been relatively few in vivo measurements made of such a network. Its natural closed loop nature makes the living switch difficult to measure experimentally. Hence not much have been reported on derivation of a model from in vivo data, which is expected to be different from the macroscopic scale in vitro measurements. We present a heuristic for modelling a naturally occurring switch from relatively few in vivo experimental data points, yielding a model suited to dynamical simulation, and give predictions of the unmeasured protein in the system.",

author = "Lucia Santoso and Alexander Lanzon",

year = "2006",

doi = "10.1109/cdc.2006.377249",

language = "English",

isbn = "1424401712",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "31--36",

booktitle = "Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC",

address = "United States",

note = "45th IEEE Conference on Decision and Control 2006, CDC ; Conference date: 13-12-2006 Through 15-12-2006",

}

Santoso, L & Lanzon, A 2006, On the modelling of a bistable genetic switch. in Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC., 4178044, Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., pp. 31-36, 45th IEEE Conference on Decision and Control 2006, CDC, San Diego, CA, United States, 13/12/06. https://doi.org/10.1109/cdc.2006.377249

On the modelling of a bistable genetic switch. / Santoso, Lucia; Lanzon, Alexander.
Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC. Institute of Electrical and Electronics Engineers Inc., 2006. p. 31-36 4178044 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - On the modelling of a bistable genetic switch

AU - Santoso, Lucia

AU - Lanzon, Alexander

PY - 2006

Y1 - 2006

N2 - A bistable switch is a common motif in a genetic regulatory network. There have been relatively few in vivo measurements made of such a network. Its natural closed loop nature makes the living switch difficult to measure experimentally. Hence not much have been reported on derivation of a model from in vivo data, which is expected to be different from the macroscopic scale in vitro measurements. We present a heuristic for modelling a naturally occurring switch from relatively few in vivo experimental data points, yielding a model suited to dynamical simulation, and give predictions of the unmeasured protein in the system.

AB - A bistable switch is a common motif in a genetic regulatory network. There have been relatively few in vivo measurements made of such a network. Its natural closed loop nature makes the living switch difficult to measure experimentally. Hence not much have been reported on derivation of a model from in vivo data, which is expected to be different from the macroscopic scale in vitro measurements. We present a heuristic for modelling a naturally occurring switch from relatively few in vivo experimental data points, yielding a model suited to dynamical simulation, and give predictions of the unmeasured protein in the system.

UR - http://www.scopus.com/inward/record.url?scp=39649114800&partnerID=8YFLogxK

U2 - 10.1109/cdc.2006.377249

DO - 10.1109/cdc.2006.377249

M3 - Conference contribution

SN - 1424401712

SN - 9781424401710

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 31

EP - 36

BT - Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 45th IEEE Conference on Decision and Control 2006, CDC

Y2 - 13 December 2006 through 15 December 2006

ER -

On the modelling of a bistable genetic switch

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this