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A gene regulatory network underlying the formation of pre-placodal ectoderm in Xenopus laevis

Overview of attention for article published in BMC Biology, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

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14 tweeters
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Citations

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21 Dimensions

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28 Mendeley
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Title
A gene regulatory network underlying the formation of pre-placodal ectoderm in Xenopus laevis
Published in
BMC Biology, July 2018
DOI 10.1186/s12915-018-0540-5
Pubmed ID
Authors

Santosh Kumar Maharana, Gerhard Schlosser

Abstract

The neural plate border ectoderm gives rise to key developmental structures during embryogenesis, including the neural crest and the preplacodal ectoderm. Many sensory organs and ganglia of vertebrates develop from cranial placodes, which themselves arise from preplacodal ectoderm, defined by expression of transcription factor Six1 and its coactivator Eya1. Here we elucidate the gene regulatory network underlying the specification of the preplacodal ectoderm in Xenopus, and the functional interactions among transcription factors that give rise to this structure. To elucidate the gene regulatory network upstream of preplacodal ectoderm formation, we use gain- and loss-of-function studies to explore the role of early ectodermal transcription factors for establishing the preplacodal ectoderm and adjacent ectodermal territories, and the role of Six1 and Eya1 in feedback regulation of these transcription factors. Our findings suggest that transcription factors with expression restricted to ventral (non-neural) ectoderm (AP2, Msx1, FoxI1, Vent2, Dlx3, GATA2) and those restricted to dorsal (neural) ectoderm (Pax3, Hairy2b, Zic1) are required for specification of both preplacodal ectoderm and neural crest in a context-dependent fashion and are cross-regulated by Eya1 and Six1. These findings allow us to elucidate a detailed gene regulatory network at the neural plate border upstream of preplacodal ectoderm formation based on functional interactions between ectodermal transcription factors. We propose a new model to explain the formation of immediately juxtaposed preplacodal ectoderm and neural crest territories at the neural plate border, uniting previous models.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Researcher 7 25%
Student > Master 6 21%
Student > Postgraduate 2 7%
Professor 1 4%
Other 3 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 36%
Agricultural and Biological Sciences 8 29%
Neuroscience 3 11%
Medicine and Dentistry 2 7%
Immunology and Microbiology 1 4%
Other 3 11%
Unknown 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 March 2019.
All research outputs
#3,175,250
of 17,826,855 outputs
Outputs from BMC Biology
#806
of 1,547 outputs
Outputs of similar age
#70,373
of 283,182 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 17,826,855 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,547 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. This one is in the 47th percentile – i.e., 47% 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 283,182 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them