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

Bradley Brown, Bryan Bartley, Jacob Beal, Jasmine E Bird, Ángel Goñi Moreno, James Alastair McLaughlin, Goksel Misirli, Nicholas Roehner, David James Skelton, Chueh Loo Poh, Irina Dana Ofiteru, Katherine James, Anil Wipat

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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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.

Original languageEnglish
Pages (from-to)2410-2417
Number of pages8
JournalACS Synthetic Biology
Issue number9
Early online date31 Jul 2020
Publication statusPublished - 18 Sept 2020


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