Control theory meets synthetic biology

被引:165
作者
Del Vecchio, Domitilla [1 ,2 ]
Dy, Aaron J. [3 ,4 ,5 ]
Qian, Yili [1 ]
机构
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[2] MIT, Synthet Biol Ctr, Cambridge, MA 02139 USA
[3] MIT, Dept Biol Engn, Cambridge, MA 02139 USA
[4] MIT, Inst Med Engn & Sci, Cambridge, MA 02139 USA
[5] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
关键词
synthetic biology; genetic circuits; control theory; feedback; gene regulation; robustness; ROBUST PERFECT ADAPTATION; INTEGRAL FEEDBACK-CONTROL; CELL-CELL COMMUNICATION; GENE-EXPRESSION; ESCHERICHIA-COLI; MAMMALIAN-CELLS; ENGINEERED BACTERIA; SIGNALING DYNAMICS; NETWORK MOTIFS; TOGGLE SWITCH;
D O I
10.1098/rsif.2016.0380
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The past several years have witnessed an increased presence of control theoretic concepts in synthetic biology. This review presents an organized summary of how these control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in living cells. In particular, we describe success stories that demonstrate how simple or more elaborate control design methods can be used to make the behaviour of synthetic genetic circuits within a single cell or across a cell population more reliable, predictable and robust to perturbations. The description especially highlights technical challenges that uniquely arise from the need to implement control designs within a new hardware setting, along with implemented or proposed solutions. Some engineering solutions employing complex feedback control schemes are also described, which, however, still require a deeper theoretical analysis of stability, performance and robustness properties. Overall, this paper should help synthetic biologists become familiar with feedback control concepts as they can be used in their application area. At the same time, it should provide some domain knowledge to control theorists who wish to enter the rising and exciting field of synthetic biology.
引用
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页数:17
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