Journal article
Capturing Multicellular System Designs Using Synthetic Biology Open Language (SBOL)
ACS synthetic biology, Vol.9(9), pp.2410-2417
09/18/2020
DOI: 10.1021/acssynbio.0c00176
PMID: 32786354
Abstract
Synthetic biology aims to develop novel biological systems and increase their reproducibility using engineering principles such as standardization and modularization. It is important that these systems can be represented and shared in a standard way to ensure they can be easily understood, reproduced, and utilized by other researchers. The Synthetic Biology Open Language (SBOL) is a data standard for sharing biological designs and information about their implementation and characterization. Previously, this standard has only been used to represent designs in systems where the same design is implemented in every cell; however, there is also much interest in multicellular systems, in which designs involve a mixture of different types of cells with differing genotype and phenotype. Here, we show how the SBOL standard can be used to represent multicellular systems, and, hence, how researchers can better share designs with the community and reliably document intended system functionality.
Details
- Title: Subtitle
- Capturing Multicellular System Designs Using Synthetic Biology Open Language (SBOL)
- Creators
- Bradley Brown - Newcastle UniversityBryan Bartley - RTXJacob Beal - RTXJasmine E. Bird - Newcastle UniversityAngel Goni-Moreno - Newcastle Univ, Sch Comp, Newcastle Upon Tyne NE4 5TG, Tyne & Wear, EnglandJames Alastair McLaughlin - Newcastle UniversityGoksel Misirli - Keele UniversityNicholas Roehner - RTXDavid James Skelton - Newcastle Univ, Sch Comp, Newcastle Upon Tyne NE4 5TG, Tyne & Wear, EnglandChueh Loo Poh - National University of SingaporeIrina Dana Ofiteru - Newcastle UniversityKatherine James - Northumbria UniversityAnil Wipat - Newcastle University
- Resource Type
- Journal article
- Publication Details
- ACS synthetic biology, Vol.9(9), pp.2410-2417
- Publisher
- Amer Chemical Soc
- DOI
- 10.1021/acssynbio.0c00176
- PMID
- 32786354
- ISSN
- 2161-5063
- eISSN
- 2161-5063
- Number of pages
- 8
- Grant note
- EP/R019002/1 / EPSRC; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) 820699 / European CSA on biological standardization BIOROBOOST (EU) EP/R019002/1 / SynBio3D project of the UK Engineering and Physical Sciences Research Council; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) 1522074 / NSF Expeditions in Computing Program Award; National Science Foundation (NSF); NSF - Directorate for Computer & Information Science & Engineering (CISE) W911NF-17-2-0098 / Defense Advanced Research Projects Agency; United States Department of Defense; Defense Advanced Research Projects Agency (DARPA)
- Language
- English
- Date published
- 09/18/2020
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627330202771
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