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Capturing Multicellular System Designs Using Synthetic Biology Open Language (SBOL)

Lookup NU author(s): Dr Bradley Brown, Jasmine Bird, Dr Angel Goni-Moreno, James Alastair McLaughlin McLaughlin, Dr Goksel Misirli, Dr James Skelton, Dr Dana OfiteruORCiD, Professor Anil Wipat


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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.

Publication metadata

Author(s): Brown B, Bartley B, Beal J, Bird JE, Goni-Moreno A, McLaughlin JA, Misirli G, Roehner N, Skelton DJ, Poh CL, Ofiteru ID, James K, Wipat A

Publication type: Article

Publication status: Published

Journal: ACS Synthetic Biology

Year: 2020

Volume: 9

Issue: 9

Pages: 2410-2417

Print publication date: 18/09/2020

Online publication date: 31/07/2020

Acceptance date: 02/04/2018

ISSN (electronic): 2161-5063

Publisher: American Chemical Society


DOI: 10.1021/acssynbio.0c00176

PubMed id: 32786354


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