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Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil
BACKGROUND: Profiling technologies allow the simultaneous measurement and comparison of thousands of cell components without prior knowledge of their identity. In the present study, we used two-dimensional gel electrophoresis combined with mass spectrometry to evaluate protein expression of Brazilia...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176129/ https://www.ncbi.nlm.nih.gov/pubmed/24304660 http://dx.doi.org/10.1186/1477-5956-11-46 |
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author | Agapito-Tenfen, Sarah Zanon Guerra, Miguel Pedro Wikmark, Odd-Gunnar Nodari, Rubens Onofre |
author_facet | Agapito-Tenfen, Sarah Zanon Guerra, Miguel Pedro Wikmark, Odd-Gunnar Nodari, Rubens Onofre |
author_sort | Agapito-Tenfen, Sarah Zanon |
collection | PubMed |
description | BACKGROUND: Profiling technologies allow the simultaneous measurement and comparison of thousands of cell components without prior knowledge of their identity. In the present study, we used two-dimensional gel electrophoresis combined with mass spectrometry to evaluate protein expression of Brazilian genetically modified maize hybrid grown under different agroecosystems conditions. To this effect, leaf samples were subjected to comparative analysis using the near-isogenic non-GM hybrid as the comparator. RESULTS: In the first stage of the analysis, the main sources of variation in the dataset were identified by using Principal Components Analysis which correlated most of the variation to the different agroecosystems conditions. Comparative analysis within each field revealed a total of thirty two differentially expressed proteins between GM and non-GM samples that were identified and their molecular functions were mainly assigned to carbohydrate and energy metabolism, genetic information processing and stress response. CONCLUSIONS: To the best of our knowledge this study represents the first evidence of protein identities with differentially expressed isoforms in Brazilian MON810 genetic background hybrid grown under field conditions. As global databases on outputs from “omics” analysis become available, these could provide a highly desirable benchmark for safety assessments. |
format | Online Article Text |
id | pubmed-4176129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41761292014-09-27 Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil Agapito-Tenfen, Sarah Zanon Guerra, Miguel Pedro Wikmark, Odd-Gunnar Nodari, Rubens Onofre Proteome Sci Research BACKGROUND: Profiling technologies allow the simultaneous measurement and comparison of thousands of cell components without prior knowledge of their identity. In the present study, we used two-dimensional gel electrophoresis combined with mass spectrometry to evaluate protein expression of Brazilian genetically modified maize hybrid grown under different agroecosystems conditions. To this effect, leaf samples were subjected to comparative analysis using the near-isogenic non-GM hybrid as the comparator. RESULTS: In the first stage of the analysis, the main sources of variation in the dataset were identified by using Principal Components Analysis which correlated most of the variation to the different agroecosystems conditions. Comparative analysis within each field revealed a total of thirty two differentially expressed proteins between GM and non-GM samples that were identified and their molecular functions were mainly assigned to carbohydrate and energy metabolism, genetic information processing and stress response. CONCLUSIONS: To the best of our knowledge this study represents the first evidence of protein identities with differentially expressed isoforms in Brazilian MON810 genetic background hybrid grown under field conditions. As global databases on outputs from “omics” analysis become available, these could provide a highly desirable benchmark for safety assessments. BioMed Central 2013-12-04 /pmc/articles/PMC4176129/ /pubmed/24304660 http://dx.doi.org/10.1186/1477-5956-11-46 Text en Copyright © 2013 Agapito-Tenfen 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 cited. |
spellingShingle | Research Agapito-Tenfen, Sarah Zanon Guerra, Miguel Pedro Wikmark, Odd-Gunnar Nodari, Rubens Onofre Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil |
title | Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil |
title_full | Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil |
title_fullStr | Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil |
title_full_unstemmed | Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil |
title_short | Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil |
title_sort | comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in brazil |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176129/ https://www.ncbi.nlm.nih.gov/pubmed/24304660 http://dx.doi.org/10.1186/1477-5956-11-46 |
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