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Título: | Computational design of host transcription-factors sets whose misregulation mimics the transcriptomic effect of viral infections |
Autor: | Carrera, Javier CSIC; Elena, Santiago F. CSIC ORCID | Palabras clave: | Gene-Expression profile Arabidopsis thaliana Virus-Infection Mosaic-Virus Geminivirus infection Pathogen interactions Adenosine kinase System biology L2 proteins Networks |
Fecha de publicación: | 19-dic-2012 | Editor: | Nature Publishing Group | Citación: | Scientific Report 2 (2012) | Resumen: | The molecular mechanisms underlying viral pathogenesis are yet poorly understood owed to the large number of factors involved and the complexity of their interactions. Could we identify a minimal set of host transcription factors (TF) whose misregulation would result in the transcriptional profile characteristic of infected cells in absence of the virus? How many of such sets exist? Are all orthogonal or share critical TFs involved in specific biological functions? We have developed a computational methodology that uses a quantitative model of the transcriptional regulatory network (TRN) of Arabidopsis thaliana to explore the landscape of all possible re-engineered TRNs whose transcriptomic profiles mimic those observed in infected plants. We found core sets containing between six and 34 TFs, depending on the virus, whose in silico knockout or overexpression in the TRN resulted in transcriptional profiles that minimally deviate from those observed in infected plants. | Versión del editor: | http://dx.doi: 10.1038/srep01006 | URI: | http://hdl.handle.net/10261/71640 | ISSN: | 2045-2322 |
Aparece en las colecciones: | (IBMCP) Artículos |
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Carrera Elena Sci Rep.pdf | 634,7 kB | Adobe PDF | Visualizar/Abrir |
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