Literature DB >> 28620041

A standard-enabled workflow for synthetic biology.

Chris J Myers1, Jacob Beal2, Thomas E Gorochowski3, Hiroyuki Kuwahara4, Curtis Madsen5, James Alastair McLaughlin6, Göksel Mısırlı6, Tramy Nguyen7, Ernst Oberortner8, Meher Samineni7, Anil Wipat6, Michael Zhang7, Zach Zundel7.   

Abstract

A synthetic biology workflow is composed of data repositories that provide information about genetic parts, sequence-level design tools to compose these parts into circuits, visualization tools to depict these designs, genetic design tools to select parts to create systems, and modeling and simulation tools to evaluate alternative design choices. Data standards enable the ready exchange of information within such a workflow, allowing repositories and tools to be connected from a diversity of sources. The present paper describes one such workflow that utilizes, among others, the Synthetic Biology Open Language (SBOL) to describe genetic designs, the Systems Biology Markup Language to model these designs, and SBOL Visual to visualize these designs. We describe how a standard-enabled workflow can be used to produce types of design information, including multiple repositories and software tools exchanging information using a variety of data standards. Recently, the ACS Synthetic Biology journal has recommended the use of SBOL in their publications.
© 2017 The Author(s); published by Portland Press Limited on behalf of the Biochemical Society.

Keywords:  standards; synthetic biological circuits; synthetic biology

Mesh:

Year:  2017        PMID: 28620041     DOI: 10.1042/BST20160347

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  7 in total

1.  Engineering Sensors for Gene Expression Burden.

Authors:  Alice Boo; Francesca Ceroni
Journal:  Methods Mol Biol       Date:  2021

2.  Burden-driven feedback control of gene expression.

Authors:  Francesca Ceroni; Alice Boo; Simone Furini; Thomas E Gorochowski; Olivier Borkowski; Yaseen N Ladak; Ali R Awan; Charlie Gilbert; Guy-Bart Stan; Tom Ellis
Journal:  Nat Methods       Date:  2018-03-26       Impact factor: 28.547

3.  Genetic circuit characterization and debugging using RNA-seq.

Authors:  Thomas E Gorochowski; Amin Espah Borujeni; Yongjin Park; Alec Ak Nielsen; Jing Zhang; Bryan S Der; D Benjamin Gordon; Christopher A Voigt
Journal:  Mol Syst Biol       Date:  2017-11-09       Impact factor: 11.429

Review 4.  Organizing genome engineering for the gigabase scale.

Authors:  Bryan A Bartley; Jacob Beal; Jonathan R Karr; Elizabeth A Strychalski
Journal:  Nat Commun       Date:  2020-02-04       Impact factor: 14.919

5.  SEVA 3.0: an update of the Standard European Vector Architecture for enabling portability of genetic constructs among diverse bacterial hosts.

Authors:  Esteban Martínez-García; Angel Goñi-Moreno; Bryan Bartley; James McLaughlin; Lucas Sánchez-Sampedro; Héctor Pascual Del Pozo; Clara Prieto Hernández; Ada Serena Marletta; Davide De Lucrezia; Guzmán Sánchez-Fernández; Sofía Fraile; Víctor de Lorenzo
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

6.  paraSBOLv: a foundation for standard-compliant genetic design visualization tools.

Authors:  Charlie J Clark; James Scott-Brown; Thomas E Gorochowski
Journal:  Synth Biol (Oxf)       Date:  2021-08-30

7.  Absolute quantification of translational regulation and burden using combined sequencing approaches.

Authors:  Thomas E Gorochowski; Irina Chelysheva; Mette Eriksen; Priyanka Nair; Steen Pedersen; Zoya Ignatova
Journal:  Mol Syst Biol       Date:  2019-05-03       Impact factor: 11.429

  7 in total

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