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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; Misirli, Göksel; Roehner, Nicholas; Skelton, David James; Poh, Chueh Loo; Ofiteru, Irina Dana; James, Katherine; Wipat, Anil.
Afiliação
  • Brown B; School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom.
  • Bartley B; Raytheon BBN Technologies, Cambridge, Massachusetts 02138, United States.
  • Beal J; Raytheon BBN Technologies, Cambridge, Massachusetts 02138, United States.
  • Bird JE; School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom.
  • Goñi-Moreno Á; School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, United Kingdom.
  • McLaughlin JA; Centro de Biotecnología y Genómica de Plantas (CBGP, UPM-INIA), Universidad Politénica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) Campus de Montegancedo-UPM, 28223 Pozuelo de Alarcon, Madrid, Spain.
  • Misirli G; School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, United Kingdom.
  • Roehner N; School of Computing and Mathematics, Keele University, Newcastle ST5 5BG, United Kingdom.
  • Skelton DJ; Raytheon BBN Technologies, Cambridge, Massachusetts 02138, United States.
  • Poh CL; School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, United Kingdom.
  • Ofiteru ID; Department of Biomedical Engineering and NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore.
  • James K; School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom.
  • Wipat A; Department of Applied Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
ACS Synth Biol ; 9(9): 2410-2417, 2020 09 18.
Article em En | MEDLINE | ID: mdl-32786354
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Sintética Limite: Animals Idioma: En Revista: ACS Synth Biol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Sintética Limite: Animals Idioma: En Revista: ACS Synth Biol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido