Stochastic analysis of genetic feedback controllers to reprogram a pluripotency gene regulatory network
© 2019 American Automatic Control Council. Cellular reprogramming is traditionally accomplished through an open loop (OL) control approach, wherein key transcription factors (TFs) are injected in cells to steer the state of the pluripotency (PL) gene regulatory network (GRN), as encoded by TFs conce...
Main Authors: | Bruno, Simone, Al-Radhawi, M. Ali, Sontag, Eduardo D., 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/1721.1/137959 |
Similar Items
-
Stochastic multistationarity in a model of the hematopoietic stem cell differentiation network
by: Al-Radhawi, M. Ali, et al.
Published: (2021) -
Stochasticity is necessary for multiple attractors in a class of differentiation networks
by: Kumar, Nithin Senthur, et al.
Published: (2019) -
A dynamical model for the low efficiency of induced pluripotent stem cell reprogramming
by: Abdallah, Hussein M., et al.
Published: (2017) -
A Blueprint for a Synthetic Genetic Feedback Controller to Reprogram Cell Fate
by: Del Vecchio, Domitilla, et al.
Published: (2018) -
A Dynamical Model for the Low Efficiency of Induced Pluripotent Stem Cell Reprogramming (Extended Version)
by: Abdallah, Hussein, et al.
Published: (2016)