Literature DB >> 23651286

An end-to-end workflow for engineering of biological networks from high-level specifications.

Jacob Beal1, Ron Weiss, Douglas Densmore, Aaron Adler, Evan Appleton, Jonathan Babb, Swapnil Bhatia, Noah Davidsohn, Traci Haddock, Joseph Loyall, Richard Schantz, Viktor Vasilev, Fusun Yaman.   

Abstract

We present a workflow for the design and production of biological networks from high-level program specifications. The workflow is based on a sequence of intermediate models that incrementally translate high-level specifications into DNA samples that implement them. We identify algorithms for translating between adjacent models and implement them as a set of software tools, organized into a four-stage toolchain: Specification, Compilation, Part Assignment, and Assembly. The specification stage begins with a Boolean logic computation specified in the Proto programming language. The compilation stage uses a library of network motifs and cellular platforms, also specified in Proto, to transform the program into an optimized Abstract Genetic Regulatory Network (AGRN) that implements the programmed behavior. The part assignment stage assigns DNA parts to the AGRN, drawing the parts from a database for the target cellular platform, to create a DNA sequence implementing the AGRN. Finally, the assembly stage computes an optimized assembly plan to create the DNA sequence from available part samples, yielding a protocol for producing a sample of engineered plasmids with robotics assistance. Our workflow is the first to automate the production of biological networks from a high-level program specification. Furthermore, the workflow's modular design allows the same program to be realized on different cellular platforms simply by swapping workflow configurations. We validated our workflow by specifying a small-molecule sensor-reporter program and verifying the resulting plasmids in both HEK 293 mammalian cells and in E. coli bacterial cells.

Entities:  

Mesh:

Year:  2012        PMID: 23651286     DOI: 10.1021/sb300030d

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  18 in total

Review 1.  Design Automation in Synthetic Biology.

Authors:  Evan Appleton; Curtis Madsen; Nicholas Roehner; Douglas Densmore
Journal:  Cold Spring Harb Perspect Biol       Date:  2017-04-03       Impact factor: 10.005

2.  Open-source, community-driven microfluidics with Metafluidics.

Authors:  David S Kong; Todd A Thorsen; Jonathan Babb; Scott T Wick; Jeremy J Gam; Ron Weiss; Peter A Carr
Journal:  Nat Biotechnol       Date:  2017-06-07       Impact factor: 54.908

3.  Modular gene-circuit design takes two steps forward.

Authors:  Jeffrey J Tabor
Journal:  Nat Methods       Date:  2012-11       Impact factor: 28.547

4.  The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology.

Authors:  Michal Galdzicki; Kevin P Clancy; Ernst Oberortner; Matthew Pocock; Jacqueline Y Quinn; Cesar A Rodriguez; Nicholas Roehner; Mandy L Wilson; Laura Adam; J Christopher Anderson; Bryan A Bartley; Jacob Beal; Deepak Chandran; Joanna Chen; Douglas Densmore; Drew Endy; Raik Grünberg; Jennifer Hallinan; Nathan J Hillson; Jeffrey D Johnson; Allan Kuchinsky; Matthew Lux; Goksel Misirli; Jean Peccoud; Hector A Plahar; Evren Sirin; Guy-Bart Stan; Alan Villalobos; Anil Wipat; John H Gennari; Chris J Myers; Herbert M Sauro
Journal:  Nat Biotechnol       Date:  2014-06-06       Impact factor: 54.908

Review 5.  Parts & pools: a framework for modular design of synthetic gene circuits.

Authors:  Mario Andrea Marchisio
Journal:  Front Bioeng Biotechnol       Date:  2014-10-06

Review 6.  Synthetic biology outside the cell: linking computational tools to cell-free systems.

Authors:  Daniel D Lewis; Fernando D Villarreal; Fan Wu; Cheemeng Tan
Journal:  Front Bioeng Biotechnol       Date:  2014-12-09

7.  Exploring Host-Microbiome Interactions using an in Silico Model of Biomimetic Robots and Engineered Living Cells.

Authors:  Keith C Heyde; Warren C Ruder
Journal:  Sci Rep       Date:  2015-07-16       Impact factor: 4.379

8.  RiboTALE: A modular, inducible system for accurate gene expression control.

Authors:  Navneet Rai; Aura Ferreiro; Alexander Neckelmann; Amy Soon; Andrew Yao; Justin Siegel; Marc T Facciotti; Ilias Tagkopoulos
Journal:  Sci Rep       Date:  2015-05-29       Impact factor: 4.379

9.  A computational method for the investigation of multistable systems and its application to genetic switches.

Authors:  Miriam Leon; Mae L Woods; Alex J H Fedorec; Chris P Barnes
Journal:  BMC Syst Biol       Date:  2016-12-07

10.  Iterative plug-and-play methodology for constructing and modifying synthetic gene networks.

Authors:  Kevin D Litcofsky; Raffi B Afeyan; Russell J Krom; Ahmad S Khalil; James J Collins
Journal:  Nat Methods       Date:  2012-10-07       Impact factor: 28.547

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