Context-aware synthetic biology by controller design: Engineering the mammalian cell
Name
nihms-1711500.pdf
Description
Accepted version
Size
1.94 MB
Format
Adobe PDF
Checksum (MD5)
b35857deabcd333bef03f08d6494a60d
Author(s) • • •
Shakiba, Nika
Jones, Ross D
Weiss, Ron
Del Vecchio, Domitilla
Date Issued
2021
Journal
Cell Systems
Publisher
Elsevier BV
Citation
Shakiba, Nika, Jones, Ross D, Weiss, Ron and Del Vecchio, Domitilla. 2021. "Context-aware synthetic biology by controller design: Engineering the mammalian cell." Cell Systems, 12 (6).
Version
Author's final manuscript
Abstract
The rise of systems biology has ushered a new paradigm: the view of the cell as a system that processes environmental inputs to drive phenotypic outputs. Synthetic biology provides a complementary approach, allowing us to program cell behavior through the addition of synthetic genetic devices into the cellular processor. These devices, and the complex genetic circuits they compose, are engineered using a design-prototype-test cycle, allowing for predictable device performance to be achieved in a context-dependent manner. Within mammalian cells, context effects impact device performance at multiple scales, including the genetic, cellular, and extracellular levels. In order for synthetic genetic devices to achieve predictable behaviors, approaches to overcome context dependence are necessary. Here, we describe control systems approaches for achieving context-aware devices that are robust to context effects. We then consider cell fate programing as a case study to explore the potential impact of context-aware devices for regenerative medicine applications.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Synthetic Biology Center
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.CELS.2021.05.011