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FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data

BACKGROUND: The production and commercial release of Genetically Modified Organisms (GMOs) are currently the focus of important discussions. In order to guarantee the quality and reliability of their trials, companies and institutions working on this subject must adopt new approaches on management,...

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Autores principales: Hanke, Lucas AF, Botelho, Cristiano S, Braz, Fernando AF, Batista, Paulo HS, Folgueras-Flatschart, Aurea V, Noda, Roberto W, Carneiro, Andrea A, Faria-Campos, Alessandra C, Campos, Sérgio VA
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119470/
http://dx.doi.org/10.1186/1746-4811-10-20
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author Hanke, Lucas AF
Botelho, Cristiano S
Braz, Fernando AF
Batista, Paulo HS
Folgueras-Flatschart, Aurea V
Noda, Roberto W
Carneiro, Andrea A
Faria-Campos, Alessandra C
Campos, Sérgio VA
author_facet Hanke, Lucas AF
Botelho, Cristiano S
Braz, Fernando AF
Batista, Paulo HS
Folgueras-Flatschart, Aurea V
Noda, Roberto W
Carneiro, Andrea A
Faria-Campos, Alessandra C
Campos, Sérgio VA
author_sort Hanke, Lucas AF
collection PubMed
description BACKGROUND: The production and commercial release of Genetically Modified Organisms (GMOs) are currently the focus of important discussions. In order to guarantee the quality and reliability of their trials, companies and institutions working on this subject must adopt new approaches on management, organization and recording of laboratory conditions where field studies are performed. Computational systems for management and storage of laboratory data known as Laboratory Information Management Systems (LIMS) are essential tools to achieve this. RESULTS: In this work, we have used the SIGLa system – a workflow based LIMS as a framework to develop the FluxTransgenics system for a GMOs laboratory of Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Maize and Sorghum (Sete Lagoas, MG - Brazil). A workflow representing all stages of the transgenic maize plants generation has been developed and uploaded in FluxTransgenics. This workflow models the activities involved in maize and sorghum transformation using the Agrobacterium tumefaciens method. By uploading this workflow in the SIGLa system we have created Fluxtransgenics, a complete LIMS for managing plant transformation data. CONCLUSIONS: FluxTransgenics presents a solution for the management of the data produced by a laboratory of genetically modified plants that is efficient and supports different kinds of information. Its adoption will contribute to guarantee the quality of activities and products in the process of transgenic production and enforce the use of Good Laboratory Practices (GLP). The adoption of the transformation protocol associated to the use of FluxTransgenics has made it possible to increase productivity by at least 300%, increasing the efficiency of the experiments from between 0.5 and 1 percent to about 3%. This has been achieved by an increase in the number of experiments performed and a more accurate choice of parameters, all of which have been made possible because it became easier to identify which were the most promising next steps of the experiments. The FluxTransgenics system is available for use by other laboratories, and the workflows that have been developed can be adapted to other contexts.
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spelling pubmed-41194702014-08-03 FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data Hanke, Lucas AF Botelho, Cristiano S Braz, Fernando AF Batista, Paulo HS Folgueras-Flatschart, Aurea V Noda, Roberto W Carneiro, Andrea A Faria-Campos, Alessandra C Campos, Sérgio VA Plant Methods Software BACKGROUND: The production and commercial release of Genetically Modified Organisms (GMOs) are currently the focus of important discussions. In order to guarantee the quality and reliability of their trials, companies and institutions working on this subject must adopt new approaches on management, organization and recording of laboratory conditions where field studies are performed. Computational systems for management and storage of laboratory data known as Laboratory Information Management Systems (LIMS) are essential tools to achieve this. RESULTS: In this work, we have used the SIGLa system – a workflow based LIMS as a framework to develop the FluxTransgenics system for a GMOs laboratory of Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Maize and Sorghum (Sete Lagoas, MG - Brazil). A workflow representing all stages of the transgenic maize plants generation has been developed and uploaded in FluxTransgenics. This workflow models the activities involved in maize and sorghum transformation using the Agrobacterium tumefaciens method. By uploading this workflow in the SIGLa system we have created Fluxtransgenics, a complete LIMS for managing plant transformation data. CONCLUSIONS: FluxTransgenics presents a solution for the management of the data produced by a laboratory of genetically modified plants that is efficient and supports different kinds of information. Its adoption will contribute to guarantee the quality of activities and products in the process of transgenic production and enforce the use of Good Laboratory Practices (GLP). The adoption of the transformation protocol associated to the use of FluxTransgenics has made it possible to increase productivity by at least 300%, increasing the efficiency of the experiments from between 0.5 and 1 percent to about 3%. This has been achieved by an increase in the number of experiments performed and a more accurate choice of parameters, all of which have been made possible because it became easier to identify which were the most promising next steps of the experiments. The FluxTransgenics system is available for use by other laboratories, and the workflows that have been developed can be adapted to other contexts. BioMed Central 2014-06-26 /pmc/articles/PMC4119470/ http://dx.doi.org/10.1186/1746-4811-10-20 Text en Copyright © 2014 Hanke et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Hanke, Lucas AF
Botelho, Cristiano S
Braz, Fernando AF
Batista, Paulo HS
Folgueras-Flatschart, Aurea V
Noda, Roberto W
Carneiro, Andrea A
Faria-Campos, Alessandra C
Campos, Sérgio VA
FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data
title FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data
title_full FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data
title_fullStr FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data
title_full_unstemmed FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data
title_short FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data
title_sort fluxtransgenics: a flexible lims-based tool for management of plant transformation experimental data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119470/
http://dx.doi.org/10.1186/1746-4811-10-20
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