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Neural crest cell-autonomous roles of fibronectin in cardiovascular development

Overview of attention for article published in Development (09501991), November 2015
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Article details
Title
Neural crest cell-autonomous roles of fibronectin in cardiovascular development
Published in
Development (09501991), November 2015
DOI 10.1242/dev.125286
Pubmed ID
Authors
Abstract

The chemical and mechanical properties of extracellular matrices (ECM) modulate diverse aspects of cellular fates; however, how regional heterogeneity in the ECM composition regulates developmental programs is not well understood. We discovered that Fn1 is expressed in strikingly non-uniform patterns during mouse development, suggesting that regionalized synthesis of the ECM plays cell-specific regulatory roles during embryogenesis. To test this hypothesis, we ablated Fn1 in the neural crest (NC), a population of multi-potent progenitors expressing high levels of Fn1. We found that Fn1 synthesized by the NC mediated aortic arch artery morphogenesis and the differentiation of NC cells into vascular smooth muscle cells (VSMCs) by regulating Notch signaling. We demonstrate that NC Fn1 signals in neural crest cell-autonomous manner through integrin α5β1 expressed by the NC leading to the activation of Notch and the differentiation of VSMCs. Our data demonstrate an essential role of the localized synthesis of Fn1 in cardiovascular development and spatial regulation of Notch signaling.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 57 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 %
United Kingdom 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 9 16%
Student > Doctoral Student 6 11%
Student > Master 4 7%
Student > Bachelor 3 5%
Other 7 12%
Unknown 12 21%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 39%
Agricultural and Biological Sciences 14 25%
Medicine and Dentistry 4 7%
Engineering 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 7%
Unknown 9 16%
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 13 January 2016.
All research outputs
#31,576,053
of 34,763,505 outputs
Outputs from Development (09501991)
#11,340
of 11,613 outputs
Outputs of similar age
#285,971
of 324,624 outputs
Outputs of similar age from Development (09501991)
#95
of 98 outputs
Altmetric has tracked 34,763,505 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,613 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 1st percentile – i.e., 1% 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 324,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.