Literature DB >> 26372648

Synthetic Biology: A Unifying View and Review Using Analog Circuits.

Jonathan J Y Teo, Sung Sik Woo, Rahul Sarpeshkar.   

Abstract

We review the field of synthetic biology from an analog circuits and analog computation perspective, focusing on circuits that have been built in living cells. This perspective is well suited to pictorially, symbolically, and quantitatively representing the nonlinear, dynamic, and stochastic (noisy) ordinary and partial differential equations that rigorously describe the molecular circuits of synthetic biology. This perspective enables us to construct a canonical analog circuit schematic that helps unify and review the operation of many fundamental circuits that have been built in synthetic biology at the DNA, RNA, protein, and small-molecule levels over nearly two decades. We review 17 circuits in the literature as particular examples of feedforward and feedback analog circuits that arise from special topological cases of the canonical analog circuit schematic. Digital circuit operation of these circuits represents a special case of saturated analog circuit behavior and is automatically incorporated as well. Many issues that have prevented synthetic biology from scaling are naturally represented in analog circuit schematics. Furthermore, the deep similarity between the Boltzmann thermodynamic equations that describe noisy electronic current flow in subthreshold transistors and noisy molecular flux in biochemical reactions has helped map analog circuit motifs in electronics to analog circuit motifs in cells and vice versa via a `cytomorphic' approach. Thus, a body of knowledge in analog electronic circuit design, analysis, simulation, and implementation may also be useful in the robust and efficient design of molecular circuits in synthetic biology, helping it to scale to more complex circuits in the future.

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Substances:

Year:  2015        PMID: 26372648     DOI: 10.1109/TBCAS.2015.2461446

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  11 in total

1.  A Digitally Programmable Cytomorphic Chip for Simulation of Arbitrary Biochemical Reaction Networks.

Authors:  Sung Sik Woo; Jaewook Kim; Rahul Sarpeshkar
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-04       Impact factor: 3.833

2.  An Artificial Tissue Homeostasis Circuit Designed via Analog Circuit Techniques.

Authors:  Jonathan J Y Teo; Ron Weiss; Rahul Sarpeshkar
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2019-03-25       Impact factor: 3.833

3.  Cytomorphic Electronic Systems: A review and perspective.

Authors:  Douglas Raymond Beahm; Yijie Deng; Tanner G Riley; Rahul Sarpeshkar
Journal:  IEEE Nanotechnol Mag       Date:  2021-10-04

4.  Measuring and modeling energy and power consumption in living microbial cells with a synthetic ATP reporter.

Authors:  Yijie Deng; Douglas Raymond Beahm; Steven Ionov; Rahul Sarpeshkar
Journal:  BMC Biol       Date:  2021-05-17       Impact factor: 7.431

5.  Exploiting the dynamic properties of covalent modification cycle for the design of synthetic analog biomolecular circuitry.

Authors:  Mathias Foo; Rucha Sawlekar; Declan G Bates
Journal:  J Biol Eng       Date:  2016-11-14       Impact factor: 4.355

6.  Designing miRNA-Based Synthetic Cell Classifier Circuits Using Answer Set Programming.

Authors:  Katinka Becker; Hannes Klarner; Melania Nowicka; Heike Siebert
Journal:  Front Bioeng Biotechnol       Date:  2018-06-22

7.  A Novel Bioelectronic Reporter System in Living Cells Tested with a Synthetic Biological Comparator.

Authors:  Ji Zeng; Areen Banerjee; Jaewook Kim; Yijie Deng; Tim W Chapman; Ramez Daniel; Rahul Sarpeshkar
Journal:  Sci Rep       Date:  2019-05-13       Impact factor: 4.379

8.  Accelerating Whole-Cell Simulations of mRNA Translation Using a Dedicated Hardware.

Authors:  David Shallom; Danny Naiger; Shlomo Weiss; Tamir Tuller
Journal:  ACS Synth Biol       Date:  2021-11-23       Impact factor: 5.110

9.  Bioelectronic measurement and feedback control of molecules in living cells.

Authors:  Areen Banerjee; Isaac Weaver; Todd Thorsen; Rahul Sarpeshkar
Journal:  Sci Rep       Date:  2017-10-02       Impact factor: 4.379

10.  Circuits with broken fibration symmetries perform core logic computations in biological networks.

Authors:  Ian Leifer; Flaviano Morone; Saulo D S Reis; José S Andrade; Mariano Sigman; Hernán A Makse
Journal:  PLoS Comput Biol       Date:  2020-06-17       Impact factor: 4.779

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