Journal article
Sharing Structure and Function in Biological Design with SBOL 2.0
ACS synthetic biology, Vol.5(6), pp.498-506
06/17/2016
DOI: 10.1021/acssynbio.5b00215
PMID: 27111421
Abstract
The Synthetic Biology Open Language (SBOL) is a standard that enables collaborative engineering of biological systems across different institutions and tools. SBOL is developed through careful consideration of recent synthetic biology trends, real use cases, and consensus among leading researchers in the field and members of commercial biotechnology enterprises. We demonstrate and discuss how a set of SBOL-enabled software tools can form an integrated, cross-organizational workflow to recapitulate the design of one of the largest published genetic circuits to date, a 4-input AND sensor. This design encompasses the structural components of the system, such as its DNA, RNA, small molecules, and proteins, as well as the interactions between these components that determine the system's behavior/function. The demonstrated workflow and resulting circuit design illustrate the utility of SBOL 2.0 in automating the exchange of structural and functional specifications for genetic parts, devices, and the biological systems in which they operate.
Details
- Title: Subtitle
- Sharing Structure and Function in Biological Design with SBOL 2.0
- Creators
- Nicholas Roehner - Boston UniversityJacob Beal - RTXKevin Clancy - Thermo Fisher ScientificBryan Bartley - University of WashingtonGoksel Misirli - Newcastle UniversityRaik Grunberg - Institute for Research in Immunology and CancerErnst Oberortner - Joint Genome InstituteMatthew Pocock - Turing InstituteMichael Bissell - AmyrisCurtis Madsen - University of Newcastle AustraliaTramy Nguyen - University of UtahMichael Zhang - University of UtahZhen Zhang - University of UtahZach Zundel - University of UtahDouglas Densmore - Boston UniversityJohn H. Gennari - University of Washington Medical CenterAnil Wipat - Newcastle UniversityHerbert M. Sauro - University of WashingtonChris J. Myers - University of Utah
- Resource Type
- Journal article
- Publication Details
- ACS synthetic biology, Vol.5(6), pp.498-506
- Publisher
- Amer Chemical Soc
- DOI
- 10.1021/acssynbio.5b00215
- PMID
- 27111421
- ISSN
- 2161-5063
- eISSN
- 2161-5063
- Number of pages
- 9
- Grant note
- 1356041 / Direct For Biological Sciences; National Science Foundation (NSF); NSF - Directorate for Biological Sciences (BIO) DBI-1355909; DBI-1356401 / National Science Foundation; National Science Foundation (NSF) EP/J02175X/1 / Engineering and Physical Sciences Research Council; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) EP/J02175X/1 / EPSRC; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC)
- Language
- English
- Date published
- 06/17/2016
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627306402771
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