Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes. Leaf senescence is a complex mechanism controlled by multiple genetic and environmental variab...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/1122 https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1045-2?site=bmcbioinformatics.biomedcentral.com https://doi.org/10.1186/s12859-016-1045-2 |
| _version_ | 1855482832676192256 |
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| author | Moschen, Sebastian Nicolas Higgins, Janet Di Rienzo, Julio A. Heinz, Ruth Amelia Paniego, Norma Beatriz Fernandez, Paula Del Carmen |
| author_browse | Di Rienzo, Julio A. Fernandez, Paula Del Carmen Heinz, Ruth Amelia Higgins, Janet Moschen, Sebastian Nicolas Paniego, Norma Beatriz |
| author_facet | Moschen, Sebastian Nicolas Higgins, Janet Di Rienzo, Julio A. Heinz, Ruth Amelia Paniego, Norma Beatriz Fernandez, Paula Del Carmen |
| author_sort | Moschen, Sebastian Nicolas |
| collection | INTA Digital |
| description | In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes.
Leaf senescence is a complex mechanism controlled by multiple genetic and environmental variables, which has a strong impact on crop yield. Transcription factors (TFs) are key proteins in the regulation of gene expression, regulating different signaling pathways; their function is crucial for triggering and/or regulating different aspects of the leaf senescence process. The study of TF interactions and their integration with metabolic profiles under different developmental conditions, especially for a non-model organism such as sunflower, will open new insights into the details of gene regulation of leaf senescence. |
| format | Artículo |
| id | INTA1122 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | INTA11222017-12-01T12:29:27Z Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower Moschen, Sebastian Nicolas Higgins, Janet Di Rienzo, Julio A. Heinz, Ruth Amelia Paniego, Norma Beatriz Fernandez, Paula Del Carmen Genética Avejentamiento Hojas Helianthus Annuus Genetics Senescence Leaves Girasol In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes. Leaf senescence is a complex mechanism controlled by multiple genetic and environmental variables, which has a strong impact on crop yield. Transcription factors (TFs) are key proteins in the regulation of gene expression, regulating different signaling pathways; their function is crucial for triggering and/or regulating different aspects of the leaf senescence process. The study of TF interactions and their integration with metabolic profiles under different developmental conditions, especially for a non-model organism such as sunflower, will open new insights into the details of gene regulation of leaf senescence. Inst. de Biotecnología Fil: Moschen, Sebastian Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Higgins, Janet. Genome Analysis Centre, Norwich Research Park; Reino Unido Fil: Di Rienzo, Julio A.Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Fernandez, Paula Del Carmen. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina 2017-09-05T11:51:18Z 2017-09-05T11:51:18Z 2016 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/1122 https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1045-2?site=bmcbioinformatics.biomedcentral.com 1471-2105 (Online) https://doi.org/10.1186/s12859-016-1045-2 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf BMC Bioinformatics 17 (Suppl 5) :174 (June 2016) |
| spellingShingle | Genética Avejentamiento Hojas Helianthus Annuus Genetics Senescence Leaves Girasol Moschen, Sebastian Nicolas Higgins, Janet Di Rienzo, Julio A. Heinz, Ruth Amelia Paniego, Norma Beatriz Fernandez, Paula Del Carmen Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower |
| title | Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower |
| title_full | Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower |
| title_fullStr | Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower |
| title_full_unstemmed | Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower |
| title_short | Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower |
| title_sort | network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower |
| topic | Genética Avejentamiento Hojas Helianthus Annuus Genetics Senescence Leaves Girasol |
| url | http://hdl.handle.net/20.500.12123/1122 https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1045-2?site=bmcbioinformatics.biomedcentral.com https://doi.org/10.1186/s12859-016-1045-2 |
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