Programming Cells to Work for Us

Posted: 7 Feb 2019

See all articles by Yili Qian

Yili Qian

Massachusetts Institute of Technology (MIT) - Department of Mechanical Engineering

Cameron McBride

Massachusetts Institute of Technology (MIT) - Department of Mechanical Engineering

Domitilla Del Vecchio

Massachusetts Institute of Technology (MIT) - Department of Mechanical Engineering

Date Written: May 2018

Abstract

The past decade has witnessed the rise of an exciting new field of engineering: synthetic biology. Synthetic biology is the application of engineering principles to the fundamental components of biology with the aim of programming cells with novel functionalities for utilization in the health, environment, and energy industries. Since its beginnings in the early 2000s, control design principles have been used in synthetic biology to design dynamics, mitigate the effects of uncertainty, and aid modular and layered design. In this review, we provide a basic introduction to synthetic biology, its applications, and its foundations and then describe in more detail how control design approaches have permeated the field since its inception. We conclude with a discussion of pressing challenges in this field that will require new control theory, with the hope of attracting researchers in the control theory community to this exciting engineering area.

Suggested Citation

Qian, Yili and McBride, Cameron and Del Vecchio, Domitilla, Programming Cells to Work for Us (May 2018). Annual Review of Control, Robotics, and Autonomous Systems, Vol. 1, pp. 411-440, 2018, Available at SSRN: https://ssrn.com/abstract=3330462 or http://dx.doi.org/10.1146/annurev-control-060117-105052

Yili Qian (Contact Author)

Massachusetts Institute of Technology (MIT) - Department of Mechanical Engineering ( email )

United States

Cameron McBride

Massachusetts Institute of Technology (MIT) - Department of Mechanical Engineering ( email )

United States

Domitilla Del Vecchio

Massachusetts Institute of Technology (MIT) - Department of Mechanical Engineering ( email )

United States

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
284
PlumX Metrics