Reprogramming Cooperative Monotone Dynamical Systems Behaviors

Multistable dynamical systems are ubiquitous in nature, especially in the context of regulatory networks controlling cell fate decisions, wherein stable steady states correspond to different cell phenotypes. In the past decade, it has become experimentally possible to "reprogram" the fate...

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Main Authors: Shah, Rushina Jaidip, Del Vecchio, Domitilla
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/138036.2
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author Shah, Rushina Jaidip
Del Vecchio, Domitilla
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Shah, Rushina Jaidip
Del Vecchio, Domitilla
author_sort Shah, Rushina Jaidip
collection MIT
description Multistable dynamical systems are ubiquitous in nature, especially in the context of regulatory networks controlling cell fate decisions, wherein stable steady states correspond to different cell phenotypes. In the past decade, it has become experimentally possible to "reprogram" the fate of a cell by suitable externally imposed input stimulations. In several of these reprogramming instances, the underlying regulatory network has a known structure and often it falls in the class of cooperative monotone dynamical systems. In this paper, we therefore leverage this structure to provide concrete guidance on the choice of inputs that reprogram a cooperative dynamical system to a desired target steady state. Our results are parameter-independent and therefore can serve as a practical guidance to cell-fate reprogramming experiments.
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spelling mit-1721.1/138036.22021-11-09T20:35:54Z Reprogramming Cooperative Monotone Dynamical Systems Behaviors Shah, Rushina Jaidip Del Vecchio, Domitilla Massachusetts Institute of Technology. Department of Mechanical Engineering Multistable dynamical systems are ubiquitous in nature, especially in the context of regulatory networks controlling cell fate decisions, wherein stable steady states correspond to different cell phenotypes. In the past decade, it has become experimentally possible to "reprogram" the fate of a cell by suitable externally imposed input stimulations. In several of these reprogramming instances, the underlying regulatory network has a known structure and often it falls in the class of cooperative monotone dynamical systems. In this paper, we therefore leverage this structure to provide concrete guidance on the choice of inputs that reprogram a cooperative dynamical system to a desired target steady state. Our results are parameter-independent and therefore can serve as a practical guidance to cell-fate reprogramming experiments. NIH (Grant 1-R01-EB024591-01) 2021-11-09T20:35:53Z 2021-11-09T19:00:41Z 2021-11-09T20:35:53Z 2018-12 2020-07-08T14:09:08Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/138036.2 Shah, Rushina and Vecchio, Domitilla Del. 2018. "Reprogramming Cooperative Monotone Dynamical Systems Behaviors." 2018 IEEE Conference on Decision and Control (CDC), 2018. en 10.1109/cdc.2018.8618649 2018 IEEE Conference on Decision and Control (CDC) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/octet-stream IEEE PMC
spellingShingle Shah, Rushina Jaidip
Del Vecchio, Domitilla
Reprogramming Cooperative Monotone Dynamical Systems Behaviors
title Reprogramming Cooperative Monotone Dynamical Systems Behaviors
title_full Reprogramming Cooperative Monotone Dynamical Systems Behaviors
title_fullStr Reprogramming Cooperative Monotone Dynamical Systems Behaviors
title_full_unstemmed Reprogramming Cooperative Monotone Dynamical Systems Behaviors
title_short Reprogramming Cooperative Monotone Dynamical Systems Behaviors
title_sort reprogramming cooperative monotone dynamical systems behaviors
url https://hdl.handle.net/1721.1/138036.2
work_keys_str_mv AT shahrushinajaidip reprogrammingcooperativemonotonedynamicalsystemsbehaviors
AT delvecchiodomitilla reprogrammingcooperativemonotonedynamicalsystemsbehaviors