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

Brown, Bradley, Bartley, Bryan, Beal, Jacob, Bird, Jasmine E., Goñi-Moreno, Ángel, McLaughlin, James Alastair, Mısırlı, Göksel, Roehner, Nicholas, Skelton, David James, Poh, Chueh Loo, Ofiteru, Irina Dana, James, Katherine and Wipat, Anil (2020) Capturing Multicellular System Designs Using Synthetic Biology Open Language (SBOL). ACS Synthetic Biology, 9 (9). pp. 2410-2417. ISSN 2161-5063

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Official URL: https://doi.org/10.1021/acssynbio.0c00176

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.

Item Type: Article
Additional Information: Funding Information: This document does not contain technology or technical data controlled under either the U.S. International Traffic in Arms Regulations or the U.S. Export Administration Regulations. This work was supported in part by NSF Expeditions in Computing Program Award No. 1522074 as part of the Living Computing Project and by the Defense Advanced Research Projects Agency under Contract No. W911NF-17-2-0098. The views, opinions, and/or findings expressed are of the author(s) and should not be interpreted as representing official views or policies of the Department of Defense or the U.S. Government. A.G.-M. was supported by the SynBio3D project of the UK Engineering and Physical Sciences Research Council (No. EP/R019002/1) and the European CSA on biological standardization BIOROBOOST (EU Grant No. 820699)
Uncontrolled Keywords: Synthetic Biology Open Language (SBOL), data standards, microbial communities, multicellular systems
Subjects: C100 Biology
Department: Faculties > Health and Life Sciences > Applied Sciences
Depositing User: Ellen Cole
Date Deposited: 24 Sep 2020 17:57
Last Modified: 14 Mar 2023 11:30
URI: https://nrl.northumbria.ac.uk/id/eprint/44268

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