Analysis of the transcriptional logic governing differential spatial expression in Hh target genes
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PLOS
Fecha
2019-01-07Referencia bibliográfica
Cambón M, Sánchez Ó. (2019) Analysis of the transcriptional logic governing differential spatial expression in Hh target genes. PLoS ONE 14(1): e0209349
Patrocinador
This work has been partially supported by: the Ministerio de Economía y competitividad (Spain Government) research grants numbers MTM2014-53406-R and FPI2015/074837 http:// www.mineco.gob.es/portal/site/mineco/ and the Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía (Andalucía Government) Project FQM 954, https://www. juntadeandalucia.es/organismos/empleoempresaycomercio.htmlResumen
This work provides theoretical tools to analyse the transcriptional effects of certain biochemical
mechanisms (i.e. affinity and cooperativity) that have been proposed in previous
literature to explain the proper spatial expression of Hedgehog target genes involved in Drosophila
development. Specifically we have focused on the expression of decapentaplegic,
wingless, stripe and patched. The transcription of these genes is believed to be controlled
by enhancer modules able to interpret opposing gradients of the activator and repressor
forms of the transcription factor Cubitus interruptus (Ci). This study is based on a thermodynamic
approach, which provides expression rates for these genes. These expression rates
are controlled by transcription factors which are competing and cooperating for common
binding sites. We have made mathematical representations of the different expression rates
which depend on multiple factors and variables. The expressions obtained with the model
have been refined to produce simpler equivalent formulae which allow for their mathematical
analysis. Thanks to this, we can evaluate the correlation between the different interactions
involved in transcription and the biological features observed at tissular level. These mathematical
models can be applied to other morphogenes to help understand the complex transcriptional
logic of opposing activator and repressor gradients.