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Mutual Repression Enhances the Steepness and Precision of Gene Expression Boundaries

Overview of attention for article published in PLoS Computational Biology, August 2012
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Title
Mutual Repression Enhances the Steepness and Precision of Gene Expression Boundaries
Published in
PLoS Computational Biology, August 2012
DOI 10.1371/journal.pcbi.1002654
Pubmed ID
Authors

Thomas R. Sokolowski, Thorsten Erdmann, Pieter Rein ten Wolde

Abstract

Embryonic development is driven by spatial patterns of gene expression that determine the fate of each cell in the embryo. While gene expression is often highly erratic, embryonic development is usually exceedingly precise. In particular, gene expression boundaries are robust not only against intra-embryonic fluctuations such as noise in gene expression and protein diffusion, but also against embryo-to-embryo variations in the morphogen gradients, which provide positional information to the differentiating cells. How development is robust against intra- and inter-embryonic variations is not understood. A common motif in the gene regulation networks that control embryonic development is mutual repression between pairs of genes. To assess the role of mutual repression in the robust formation of gene expression patterns, we have performed large-scale stochastic simulations of a minimal model of two mutually repressing gap genes in Drosophila, hunchback (hb) and knirps (kni). Our model includes not only mutual repression between hb and kni, but also the stochastic and cooperative activation of hb by the anterior morphogen Bicoid (Bcd) and of kni by the posterior morphogen Caudal (Cad), as well as the diffusion of Hb and Kni between neighboring nuclei. Our analysis reveals that mutual repression can markedly increase the steepness and precision of the gap gene expression boundaries. In contrast to other mechanisms such as spatial averaging and cooperative gene activation, mutual repression thus allows for gene-expression boundaries that are both steep and precise. Moreover, mutual repression dramatically enhances their robustness against embryo-to-embryo variations in the morphogen levels. Finally, our simulations reveal that diffusion of the gap proteins plays a critical role not only in reducing the width of the gap gene expression boundaries via the mechanism of spatial averaging, but also in repairing patterning errors that could arise because of the bistability induced by mutual repression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
United Kingdom 1 1%
Argentina 1 1%
Austria 1 1%
Unknown 68 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 33%
Student > Ph. D. Student 14 19%
Student > Master 6 8%
Student > Doctoral Student 5 7%
Professor 4 5%
Other 11 15%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 44%
Biochemistry, Genetics and Molecular Biology 11 15%
Physics and Astronomy 9 12%
Mathematics 3 4%
Computer Science 2 3%
Other 5 7%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2012.
All research outputs
#22,938,588
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#8,612
of 9,003 outputs
Outputs of similar age
#169,648
of 187,933 outputs
Outputs of similar age from PLoS Computational Biology
#95
of 98 outputs
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