Reprogramming Cooperative Monotone Dynamical Systems Behaviors
Name
nihms-1556117.pdf
Description
Accepted version
Size
570.37 KB
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Unknown
Checksum (MD5)
b0d6932338eeb72e79e72c90141914b1
Author(s)
Shah, Rushina Jaidip
Del Vecchio, Domitilla
Date Issued
December 2018
Journal
2018 IEEE Conference on Decision and Control (CDC)
Publisher
IEEE
Citation
Shah, Rushina and Vecchio, Domitilla Del. 2018. "Reprogramming Cooperative Monotone Dynamical Systems Behaviors." 2018 IEEE Conference on Decision and Control (CDC), 2018.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/cdc.2018.8618649
