Capturing Multicellular System Designs Using Synthetic Biology Open Language (SBOL)
| Autor: | Katherine James, Jacob Beal, Nicholas Roehner, Irina Dana Ofiteru, Chueh Loo Poh, Bird Je, Bryan Bartley, Anil Wipat, Angel Goñi-Moreno, Bradley Brown, David James Skelton, James Alastair McLaughlin, Goksel Misirli |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Standardization Computer science Biomedical Engineering Biosensing Techniques CHO Cells 01 natural sciences Biochemistry Genetics and Molecular Biology (miscellaneous) 03 medical and health sciences Synthetic biology Cricetulus Cricetinae 010608 biotechnology Animals 030304 developmental biology 0303 health sciences business.industry C100 General Medicine Data Standard Multicellular organism Modular programming Synthetic Biology Engineering principles Software engineering business Software Plasmids |
| ISSN: | 2161-5063 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|