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Destabilization of the TWIST1/E12 complex dimerization following the R154P point-mutation of TWIST1: an in silico approach

Overview of attention for article published in BMC Molecular and Cell Biology, May 2017
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Title
Destabilization of the TWIST1/E12 complex dimerization following the R154P point-mutation of TWIST1: an in silico approach
Published in
BMC Molecular and Cell Biology, May 2017
DOI 10.1186/s12900-017-0076-x
Pubmed ID
Authors

Charlotte Bouard, Raphael Terreux, Agnès Tissier, Laurent Jacqueroud, Arnaud Vigneron, Stéphane Ansieau, Alain Puisieux, Léa Payen

Abstract

The bHLH transcription factor TWIST1 plays a key role in the embryonic development and in tumorigenesis. Some loss-of-function mutations of the TWIST1 gene have been shown to cause an autosomal dominant craniosynostosis, known as the Saethre-Chotzen syndrome (SCS). Although the functional impacts of many TWIST1 mutations have been experimentally reported, little is known on the molecular mechanisms underlying their loss-of-function. In a previous study, we highlighted the predictive value of in silico molecular dynamics (MD) simulations in deciphering the molecular function of TWIST1 residues. Here, since the substitution of the arginine 154 amino acid by a glycine residue (R154G) is responsible for the SCS phenotype and the substitution of arginine 154 by a proline experimentally decreases the dimerizing ability of TWIST1, we investigated the molecular impact of this point mutation using MD approaches. Consistently, MD simulations highlighted a clear decrease in the stability of the α-helix during the dimerization of the mutated R154P TWIST1/E12 dimer compared to the wild-type TE complex, which was further confirmed in vitro using immunoassays. Our study demonstrates that MD simulations provide a structural explanation for the loss-of-function associated with the SCS TWIST1 mutation and provides a proof of concept of the predictive value of these MD simulations. This in silico methodology could be used to determine reliable pharmacophore sites, leading to the application of docking approaches in order to identify specific inhibitors of TWIST1 complexes.

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Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 4 25%
Student > Bachelor 4 25%
Professor 1 6%
Unknown 3 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Agricultural and Biological Sciences 2 13%
Chemistry 2 13%
Medicine and Dentistry 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 0 0%
Unknown 4 25%