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Structural messenger RNA contains cytokeratin polymerization and depolymerization signals

Overview of attention for article published in Cell and Tissue Research, October 2011
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Title
Structural messenger RNA contains cytokeratin polymerization and depolymerization signals
Published in
Cell and Tissue Research, October 2011
DOI 10.1007/s00441-011-1255-x
Pubmed ID
Authors

Malgorzata Kloc, Paul Dallaire, Arkadiy Reunov, Francois Major

Abstract

We have previously shown that VegT mRNA plays a structural (translation-independent) role in the organization of the cytokeratin cytoskeleton in Xenopus oocytes. The depletion of VegT mRNA causes the fragmentation of the cytokeratin network in the vegetal cortex of Xenopus oocytes. This effect can be rescued by the injection of synthetic VegT RNA into the oocyte. Here, we show that the structural function of VegT mRNA in Xenopus oocyte depends on its combinatory signals for the induction or facilitation and for the maintenance of the depolymerization vs. polymerization status of cytokeratin filaments and that the 300-nucleotide fragment of VegT RNA isolated from the context of the entire molecule induces and maintains the depolymerization of cytokeratin filaments when injected into Xenopus oocytes. A computational analysis of three homologous Xenopus VegT mRNAs has revealed the presence, within this 300-nucleotide region, of a conserved base-pairing (hairpin) configuration that might function in RNA/protein interactions.

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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 5 31%
Professor 3 19%
Student > Doctoral Student 2 13%
Researcher 2 13%
Student > Master 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 44%
Biochemistry, Genetics and Molecular Biology 6 38%
Unknown 3 19%