Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/88722
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Reverse-engineering post-transcriptional regulation of gap genes in Drosophila melanogaster |
Autor: | Becker, Kolja; Balsa-Canto, Eva CSIC ORCID ; Cicin-Sain, Damjan; Hoermann, Astrid; Janssens, Hilde; Banga, Julio R. CSIC ORCID ; Jaeger, Johannes | Fecha de publicación: | 2013 | Editor: | Public Library of Science | Citación: | PLoS Computational Biology 9(10): e1003281 (2013) | Resumen: | Systems biology proceeds through repeated cycles of experiment and modeling. One way to implement this is reverse engineering, where models are fit to data to infer and analyse regulatory mechanisms. This requires rigorous methods to determine whether model parameters can be properly identified. Applying such methods in a complex biological context remains challenging. We use reverse engineering to study post-transcriptional regulation in pattern formation. As a case study, we analyse expression of the gap genes Krüppel, knirps, and giant in Drosophila melanogaster. We use detailed, quantitative datasets of gap gene mRNA and protein expression to solve and fit a model of post-transcriptional regulation, and establish its structural and practical identifiability. Our results demonstrate that post-transcriptional regulation is not required for patterning in this system, but is necessary for proper control of protein levels. Our work demonstrates that the uniqueness and specificity of a fitted model can be rigorously determined in the context of spatio-temporal pattern formation. This greatly increases the potential of reverse engineering for the study of development and other, similarly complex, biological processes | Descripción: | 16 páginas, 6 figuras, 1 tabla | Versión del editor: | http://dx.doi.org/10.1371/journal.pcbi.1003281 | URI: | http://hdl.handle.net/10261/88722 | DOI: | 10.1371/journal.pcbi.1003281 | ISSN: | 1553-734X | E-ISSN: | 1553-7358 |
Aparece en las colecciones: | (IIM) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Reverse_engineering_Drosophila.pdf | 1,69 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
PubMed Central
Citations
24
checked on 10-abr-2024
SCOPUSTM
Citations
32
checked on 16-abr-2024
WEB OF SCIENCETM
Citations
31
checked on 26-feb-2024
Page view(s)
307
checked on 23-abr-2024
Download(s)
348
checked on 23-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Artículos relacionados:
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.