Understanding Biological Regulation Through Synthetic Biology
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Understanding biological.pdf
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4.37 MB
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Adobe PDF
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Author(s)
Bashor, Caleb
Collins, James J.
Alternative Title
Understanding Biological Regulation Through Synthetic Biology
Date Issued
May 2018
Journal
Annual Review of Biophysics
Publisher
Annual Reviews
Citation
Bashor, Caleb J. and James J. Collins. “Understanding Biological Regulation Through Synthetic Biology.” Annual Review of Biophysics 47, 1 (May 2018): 399–423 © 2018 Annual Review
Version
Author's final manuscript
Abstract
Engineering synthetic gene regulatory circuits proceeds through iterative cycles of design, building, and testing. Initial circuit designs must rely on often-incomplete models of regulation established by fields of reductive inquiry—biochemistry and molecular and systems biology. As differences in designed and experimentally observed circuit behavior are inevitably encountered, investigated, and resolved, each turn of the engineering cycle can force a resynthesis in understanding of natural network function. Here, we outline research that uses the process of gene circuit engineering to advance biological discovery. Synthetic gene circuit engineering research has not only refined our understanding of cellular regulation but furnished biologists with a toolkit that can be directed at natural systems to exact precision manipulation of network structure. As we discuss, using circuit engineering to predictively reorganize, rewire, and reconstruct cellular regulation serves as the ultimate means of testing and understanding how cellular phenotype emerges from systems-level network function. Keywords: synthetic biology; regulatory network; synthetic gene circuit; engineering cycle; motif; refactoring
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Synthetic Biology Center
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1146/annurev-biophys-070816-033903
