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Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis
Modular and tuneable genetic tools for Metabolic Engineering fuels the development of chassis for the efficient production of biocompounds at industrial scale. We have constructed an autoinduction device for gene expression in Bacillus subtilis based on the LuxR/I quorum sensing system [1]. Here, we...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264492/ https://www.ncbi.nlm.nih.gov/pubmed/32509938 http://dx.doi.org/10.1016/j.dib.2020.105736 |
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author | Correa, Graciely Gomes Lins, Milca Rachel da Costa Ribeiro Silva, Bruna Fernandes de Paiva, Gabriela Barbosa Zocca, Vitoria Fernanda Bertolazzi Ribeiro, Nathan Vinicius Picheli, Flavio Pereira Mack, Matthias Pedrolli, Danielle Biscaro |
author_facet | Correa, Graciely Gomes Lins, Milca Rachel da Costa Ribeiro Silva, Bruna Fernandes de Paiva, Gabriela Barbosa Zocca, Vitoria Fernanda Bertolazzi Ribeiro, Nathan Vinicius Picheli, Flavio Pereira Mack, Matthias Pedrolli, Danielle Biscaro |
author_sort | Correa, Graciely Gomes |
collection | PubMed |
description | Modular and tuneable genetic tools for Metabolic Engineering fuels the development of chassis for the efficient production of biocompounds at industrial scale. We have constructed an autoinduction device for gene expression in Bacillus subtilis based on the LuxR/I quorum sensing system [1]. Here, we present raw and processed data regarding to B. subtilis growth measured as OD(600), performed in three different scales: microcultivation on 96-well plates (200 µL), test tubes (12 mL), and Erlenmeyer flasks (50 mL). We also present raw and processed data on gene expression measured as GFP fluorescence (485/535 nm), luminescence and riboflavin production. Measurements were performed on a microplate reader Tecan 200 PRO (iControl software) and on spectrophotometer (Thermo Fisher Scientific GENESYS 10S UV-Vis). Processed data are presented as product/OD(600), maximum and minimum promoter activity, fold of induction, and the induction OD(600). |
format | Online Article Text |
id | pubmed-7264492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72644922020-06-05 Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis Correa, Graciely Gomes Lins, Milca Rachel da Costa Ribeiro Silva, Bruna Fernandes de Paiva, Gabriela Barbosa Zocca, Vitoria Fernanda Bertolazzi Ribeiro, Nathan Vinicius Picheli, Flavio Pereira Mack, Matthias Pedrolli, Danielle Biscaro Data Brief Biochemistry, Genetics and Molecular Biology Modular and tuneable genetic tools for Metabolic Engineering fuels the development of chassis for the efficient production of biocompounds at industrial scale. We have constructed an autoinduction device for gene expression in Bacillus subtilis based on the LuxR/I quorum sensing system [1]. Here, we present raw and processed data regarding to B. subtilis growth measured as OD(600), performed in three different scales: microcultivation on 96-well plates (200 µL), test tubes (12 mL), and Erlenmeyer flasks (50 mL). We also present raw and processed data on gene expression measured as GFP fluorescence (485/535 nm), luminescence and riboflavin production. Measurements were performed on a microplate reader Tecan 200 PRO (iControl software) and on spectrophotometer (Thermo Fisher Scientific GENESYS 10S UV-Vis). Processed data are presented as product/OD(600), maximum and minimum promoter activity, fold of induction, and the induction OD(600). Elsevier 2020-05-21 /pmc/articles/PMC7264492/ /pubmed/32509938 http://dx.doi.org/10.1016/j.dib.2020.105736 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Biochemistry, Genetics and Molecular Biology Correa, Graciely Gomes Lins, Milca Rachel da Costa Ribeiro Silva, Bruna Fernandes de Paiva, Gabriela Barbosa Zocca, Vitoria Fernanda Bertolazzi Ribeiro, Nathan Vinicius Picheli, Flavio Pereira Mack, Matthias Pedrolli, Danielle Biscaro Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis |
title | Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis |
title_full | Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis |
title_fullStr | Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis |
title_full_unstemmed | Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis |
title_short | Dataset for supporting a modular autoinduction device for control of gene expression in Bacillus subtilis |
title_sort | dataset for supporting a modular autoinduction device for control of gene expression in bacillus subtilis |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264492/ https://www.ncbi.nlm.nih.gov/pubmed/32509938 http://dx.doi.org/10.1016/j.dib.2020.105736 |
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