Profiling of genetically modified organisms using omics technologies
Strict regulations including risk assessment, labeling, traceability, and marketing have been established due to the controversial safety aspects of genetically modified organisms (GMOs). One of the main polemic issues associated with GMO safety are the possible unintended effects, defined as effect...
| Autores: | , , , |
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| Tipo de recurso: | otro |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/100248 |
| Acceso en línea: | http://hdl.handle.net/10261/100248 |
| Access Level: | acceso abierto |
| Palabra clave: | Substantial equivalence Transcriptomics Proteomics Metabolomics Omics Unintended effects Transgenic crops Gene expression profiling GMO |
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Profiling of genetically modified organisms using omics technologiesValdés, AlbertoSimó, CarolinaIbáñez, ClaraGarcía-Cañas, VirginiaSubstantial equivalenceTranscriptomicsProteomicsMetabolomicsOmicsUnintended effectsTransgenic cropsGene expression profilingGMOStrict regulations including risk assessment, labeling, traceability, and marketing have been established due to the controversial safety aspects of genetically modified organisms (GMOs). One of the main polemic issues associated with GMO safety are the possible unintended effects, defined as effects that go beyond the primary expected effects of the genetic modification. In order to effectively investigate the potential adverse effects on the human health, including the existence or not of unintended effects, new analytical tools are needed to facilitate comprehensive compositional studies of GMOs. In this context, profiling technologies have the potential to provide valuable information regarding GMO composition that can be useful for characterization, traceability, and even GMO detection. In this chapter, the application of the main -omics technologies (transcriptomics, proteomics, and metabolomics) in combination with bioinformatics and chemometrics tools to GMO profiling is discussed. © 2014 Elsevier B.V.This work was supported by AGL2011-29857-C03-01 project (Ministerio de Economía y Competitividad, Spain), and CSD2007-00063 FUN-C-FOOD (Programa CONSOLIDER, Ministerio de Educación y Ciencia, Spain). A.V. thanks the Ministerio de Economía y Competitividad for his FPI pre-doctoral fellowship.Peer ReviewedElsevierMinisterio de Economía y Competitividad (España)Ministerio de Educación y Ciencia (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2014201420142014info:eu-repo/semantics/otherhttp://purl.org/coar/resource_type/c_3248Postprintinfo:eu-repo/semantics/acceptedVersioninfo:eu-repo/semantics/bookParthttp://hdl.handle.net/10261/100248reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1016/B978-0-444-62650-9.00013-0Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1002482026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Profiling of genetically modified organisms using omics technologies |
| title |
Profiling of genetically modified organisms using omics technologies |
| spellingShingle |
Profiling of genetically modified organisms using omics technologies Valdés, Alberto Substantial equivalence Transcriptomics Proteomics Metabolomics Omics Unintended effects Transgenic crops Gene expression profiling GMO |
| title_short |
Profiling of genetically modified organisms using omics technologies |
| title_full |
Profiling of genetically modified organisms using omics technologies |
| title_fullStr |
Profiling of genetically modified organisms using omics technologies |
| title_full_unstemmed |
Profiling of genetically modified organisms using omics technologies |
| title_sort |
Profiling of genetically modified organisms using omics technologies |
| dc.creator.none.fl_str_mv |
Valdés, Alberto Simó, Carolina Ibáñez, Clara García-Cañas, Virginia |
| author |
Valdés, Alberto |
| author_facet |
Valdés, Alberto Simó, Carolina Ibáñez, Clara García-Cañas, Virginia |
| author_role |
author |
| author2 |
Simó, Carolina Ibáñez, Clara García-Cañas, Virginia |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Economía y Competitividad (España) Ministerio de Educación y Ciencia (España) European Commission Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Substantial equivalence Transcriptomics Proteomics Metabolomics Omics Unintended effects Transgenic crops Gene expression profiling GMO |
| topic |
Substantial equivalence Transcriptomics Proteomics Metabolomics Omics Unintended effects Transgenic crops Gene expression profiling GMO |
| description |
Strict regulations including risk assessment, labeling, traceability, and marketing have been established due to the controversial safety aspects of genetically modified organisms (GMOs). One of the main polemic issues associated with GMO safety are the possible unintended effects, defined as effects that go beyond the primary expected effects of the genetic modification. In order to effectively investigate the potential adverse effects on the human health, including the existence or not of unintended effects, new analytical tools are needed to facilitate comprehensive compositional studies of GMOs. In this context, profiling technologies have the potential to provide valuable information regarding GMO composition that can be useful for characterization, traceability, and even GMO detection. In this chapter, the application of the main -omics technologies (transcriptomics, proteomics, and metabolomics) in combination with bioinformatics and chemometrics tools to GMO profiling is discussed. © 2014 Elsevier B.V. |
| publishDate |
2014 |
| dc.date.none.fl_str_mv |
2014 2014 2014 2014 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/other http://purl.org/coar/resource_type/c_3248 Postprint info:eu-repo/semantics/acceptedVersion |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/bookPart |
| format |
other |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/100248 |
| url |
http://hdl.handle.net/10261/100248 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
http://dx.doi.org/10.1016/B978-0-444-62650-9.00013-0 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869407697437196288 |
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15,812429 |