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Ancient association between cation leak channels and Mid1 proteins is conserved in fungi and animals

Overview of attention for article published in Frontiers in Molecular Neuroscience, March 2014
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Title
Ancient association between cation leak channels and Mid1 proteins is conserved in fungi and animals
Published in
Frontiers in Molecular Neuroscience, March 2014
DOI 10.3389/fnmol.2014.00015
Pubmed ID
Authors

Alfredo Ghezzi, Benjamin J. Liebeskind, Ammon Thompson, Nigel S. Atkinson, Harold H. Zakon

Abstract

Neuronal resting potential can tune the excitability of neural networks, affecting downstream behavior. Sodium leak channels (NALCN) play a key role in rhythmic behaviors by helping set, or subtly changing neuronal resting potential. The full complexity of these newly described channels is just beginning to be appreciated, however. NALCN channels can associate with numerous subunits in different tissues and can be activated by several different peptides and second messengers. We recently showed that NALCN channels are closely related to fungal calcium channels, which they functionally resemble. Here, we use this relationship to predict a family of NALCN-associated proteins in animals on the basis of homology with the yeast protein Mid1, the subunit of the yeast calcium channel. These proteins all share a cysteine-rich region that is necessary for Mid1 function in yeast. We validate this predicted association by showing that the Mid1 homolog in Drosophila, encoded by the CG33988 gene, is coordinately expressed with NALCN, and that knockdown of either protein creates identical phenotypes in several behaviors associated with NALCN function. The relationship between Mid1 and leak channels has therefore persisted over a billion years of evolution, despite drastic changes to both proteins and the organisms in which they exist.

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Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Student > Bachelor 6 19%
Researcher 5 16%
Professor 3 10%
Student > Master 2 6%
Other 5 16%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 45%
Biochemistry, Genetics and Molecular Biology 8 26%
Neuroscience 4 13%
Mathematics 1 3%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 2 6%