Evidence map›Paper›PMID 30615641›Full record

ArticlePloS one2019

Analysis of the transcriptional logic governing differential spatial expression in Hh target genes.

Manuel Cambón, Óscar Sánchez

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Manuel CambónApplied Mathematics Department, University of Granada, Granada, Spain.
Óscar SánchezApplied Mathematics Department, University of Granada, Granada, Spain.ORCID 0000-0001-8123-3997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AnimalsAnimals, Genetically ModifiedDNA-Binding ProteinsDrosophilaDrosophila ProteinsGene ExpressionGenes, InsectHedgehog ProteinsModels, GeneticReceptors, Cell SurfaceTranscription FactorsTranscription, GeneticWnt1 Proteinci protein, DrosophilaDNA-Binding Proteinsdpp protein, DrosophilaDrosophila ProteinsHedgehog Proteinshh protein, Drosophilaptc protein, DrosophilaReceptors, Cell Surfacesr protein, DrosophilaTranscription Factorswg protein, DrosophilaWnt1 Protein

Identifiers

PMID30615641
PMCPMC6322776

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.