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AP-2α and AP-2β cooperatively orchestrate homeobox gene expression during branchial arch patterning

Overview of attention for article published in Development (09501991), January 2018
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Article details
Title
AP-2α and AP-2β cooperatively orchestrate homeobox gene expression during branchial arch patterning
Published in
Development (09501991), January 2018
DOI 10.1242/dev.157438
Pubmed ID
Authors
Abstract

The evolution of a hinged moveable jaw with variable morphology is considered a major factor behind the successful expansion of the vertebrates. DLX homeobox transcription factors are critical to establish the positional code that patterns the mandible, maxilla and intervening hinge domain, but how these genes are regulated remains unclear. Herein, we demonstrate that the concerted action of the AP-2ɑ and AP-2β transcription factors within the mouse neural crest is essential for jaw patterning. In the absence of these two genes the hinge domain is lost and there are alterations in the size and patterning of the jaws correlating with dysregulation of homeobox gene expression, with reduced levels of Emx, Msx and Dlx paralogs accompanied by an expansion of Six1. Moreover, detailed analysis of morphological features and gene expression changes indicate significant overlap with various compound Dlx mutants. Together, these findings reveal that the AP-2 genes have a major function in mammalian neural crest development, influencing patterning of the craniofacial skeleton via the DLX-code, a result that has implications for vertebrate facial evolution as well as for human craniofacial disorders.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 33%
Researcher 5 15%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Professor > Associate Professor 2 6%
Other 5 15%
Unknown 4 12%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 36%
Medicine and Dentistry 7 21%
Agricultural and Biological Sciences 5 15%
Neuroscience 2 6%
Unspecified 1 3%
Other 0 0%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2018.
All research outputs
#27,900,690
of 34,560,275 outputs
Outputs from Development (09501991)
#10,773
of 11,564 outputs
Outputs of similar age
#380,541
of 495,196 outputs
Outputs of similar age from Development (09501991)
#190
of 208 outputs
Altmetric has tracked 34,560,275 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 495,196 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.