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Large Extent of Disorder in Adenomatous Polyposis Coli Offers a Strategy to Guard Wnt Signalling against Point Mutations

Overview of attention for article published in PLOS ONE, October 2013
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Title
Large Extent of Disorder in Adenomatous Polyposis Coli Offers a Strategy to Guard Wnt Signalling against Point Mutations
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077257
Pubmed ID
Authors

David P. Minde, Martina Radli, Federico Forneris, Madelon M. Maurice, Stefan G. D. Rüdiger

Abstract

Mutations in the central region of the signalling hub Adenomatous Polyposis Coli (APC) cause colorectal tumourigenesis. The structure of this region remained unknown. Here, we characterise the Mutation Cluster Region in APC (APC-MCR) as intrinsically disordered and propose a model how this structural feature may contribute to regulation of Wnt signalling by phosphorylation. APC-MCR was susceptible to proteolysis, lacked α-helical secondary structure and did not display thermal unfolding transition. It displayed an extended conformation in size exclusion chromatography and was accessible for phosphorylation by CK1ε in vitro. The length of disordered regions in APC increases with species complexity, from C. elegans to H. sapiens. We speculate that the large disordered region harbouring phosphorylation sites could be a successful strategy to stabilise tight regulation of Wnt signalling against single missense mutations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 38%
Student > Master 13 25%
Researcher 6 11%
Professor > Associate Professor 3 6%
Lecturer > Senior Lecturer 1 2%
Other 3 6%
Unknown 7 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 38%
Agricultural and Biological Sciences 17 32%
Medicine and Dentistry 2 4%
Chemistry 2 4%
Mathematics 1 2%
Other 4 8%
Unknown 7 13%