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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IEEE
2021
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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. |
first_indexed | 2024-09-23T16:40:25Z |
format | Article |
id | mit-1721.1/138036.2 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T16:40:25Z |
publishDate | 2021 |
publisher | IEEE |
record_format | dspace |
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 |