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Zebrafish foxP2 Zinc Finger Nuclease Mutant Has Normal Axon Pathfinding

Overview of attention for article published in PLOS ONE, August 2012
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Title
Zebrafish foxP2 Zinc Finger Nuclease Mutant Has Normal Axon Pathfinding
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043968
Pubmed ID
Authors

Lingyan Xing, Kazuyuki Hoshijima, David J. Grunwald, Esther Fujimoto, Tyler S. Quist, Jacob Sneddon, Chi-Bin Chien, Tamara J. Stevenson, Joshua L. Bonkowsky

Abstract

foxP2, a forkhead-domain transcription factor, is critical for speech and language development in humans, but its role in the establishment of CNS connectivity is unclear. While in vitro studies have identified axon guidance molecules as targets of foxP2 regulation, and cell culture assays suggest a role for foxP2 in neurite outgrowth, in vivo studies have been lacking regarding a role for foxP2 in axon pathfinding. We used a modified zinc finger nuclease methodology to generate mutations in the zebrafish foxP2 gene. Using PCR-based high resolution melt curve analysis (HRMA) of G0 founder animals, we screened and identified three mutants carrying nonsense mutations in the 2(nd) coding exon: a 17 base-pair (bp) deletion, an 8bp deletion, and a 4bp insertion. Sequence analysis of cDNA confirmed that these were frameshift mutations with predicted early protein truncations. Homozygous mutant fish were viable and fertile, with unchanged body morphology, and no apparent differences in CNS apoptosis, proliferation, or patterning at embryonic stages. There was a reduction in expression of the known foxP2 target gene cntnap2 that was rescued by injection of wild-type foxP2 transcript. When we examined axon pathfinding using a pan-axonal marker or transgenic lines, including a foxP2-neuron-specific enhancer, we did not observe any axon guidance errors. Our findings suggest that foxP2 is not necessary for axon pathfinding during development.

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Geographical breakdown

Country Count As %
Netherlands 3 6%
France 1 2%
United Kingdom 1 2%
Japan 1 2%
United States 1 2%
Unknown 47 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 10 19%
Student > Master 6 11%
Student > Postgraduate 5 9%
Student > Doctoral Student 3 6%
Other 9 17%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 43%
Neuroscience 8 15%
Biochemistry, Genetics and Molecular Biology 6 11%
Medicine and Dentistry 4 7%
Computer Science 1 2%
Other 1 2%
Unknown 11 20%