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

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

Apa Reference Brown, B., Bartley, B., Beal, J., Bird, J.E., Goñi-Moreno, Á., McLaughlin, J.A., Mısırlı, G., Roehner, N., Skelton, D.J., Poh, C.L., Ofiteru, I.D., James, K. & Wipat, A. (2020). Capturing Multicellular System Designs Using Synthetic Biology Open Language (SBOL). ACS Synthetic Biology, 9(9), 2410-2417. 10.1021/acssynbio.0c00176
Doi 10.1021/acssynbio.0c00176
Publication Date 31 Jul 2020
Publication Type Article
Researcher Ángel Goñi Moreno
Ontology Standards in Computational Biology, Synthetic biology
Research Groups
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