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Loss of Polycystin-1 Inhibits Bicc1 Expression during Mouse Development

Overview of attention for article published in PLOS ONE, March 2014
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Title
Loss of Polycystin-1 Inhibits Bicc1 Expression during Mouse Development
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0088816
Pubmed ID
Authors

Peiwen Lian, Ao Li, Yuan Li, Haichao Liu, Dan Liang, Bo Hu, De Lin, Tang Jiang, Gilbert Moeckel, Dahui Qin, Guanqing Wu

Abstract

Bicc1 is a mouse homologue of Drosophila Bicaudal-C (dBic-C), which encodes an RNA-binding protein. Orthologs of dBic-C have been identified in many species, from C. elegans to humans. Bicc1-mutant mice exhibit a cystic phenotype in the kidney that is very similar to human polycystic kidney disease. Even though many studies have explored the gene characteristics and its functions in multiple species, the developmental profile of the Bicc1 gene product (Bicc1) in mammal has not yet been completely characterized. To this end, we generated a polyclonal antibody against Bicc1 and examined its spatial and temporal expression patterns during mouse embryogenesis and organogenesis. Our results demonstrated that Bicc1 starts to be expressed in the neural tube as early as embryonic day (E) 8.5 and is widely expressed in epithelial derivatives including the gut and hepatic cells at E10.5, and the pulmonary bronchi at E11.5. In mouse kidney development, Bicc1 appears in the early ureteric bud and mesonephric tubules at E11.5 and is also expressed in the metanephros at the same stage. During postnatal kidney development, Bicc1 expression gradually expands from the cortical to the medullary and papillary regions, and it is highly expressed in the proximal tubules. In addition, we discovered that loss of the Pkd1 gene product, polycystin-1 (PC1), whose mutation causes human autosomal dominant polycystic kidney disease (ADPKD), downregulates Bicc1 expression in vitro and in vivo. Our findings demonstrate that Bicc1 is developmentally regulated and reveal a new molecular link between Bicc1 and Pkd1.

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Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 21%
Student > Ph. D. Student 8 15%
Student > Postgraduate 6 12%
Student > Doctoral Student 3 6%
Other 3 6%
Other 11 21%
Unknown 10 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 21%
Agricultural and Biological Sciences 11 21%
Medicine and Dentistry 8 15%
Immunology and Microbiology 3 6%
Unspecified 2 4%
Other 6 12%
Unknown 11 21%