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Large is required for normal astrocyte migration and retinal vasculature development

Overview of attention for article published in Cell & Bioscience, April 2017
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Title
Large is required for normal astrocyte migration and retinal vasculature development
Published in
Cell & Bioscience, April 2017
DOI 10.1186/s13578-017-0143-9
Pubmed ID
Authors

Min Zhou, Herui Wang, Hui Ren, Rui Jiang, Chi Zhang, Xiaohui Wu, Gezhi Xu

Abstract

Persistent fetal vasculature (PFV) is a congenital developmental anomaly of the eye that accounts for about 5% of childhood blindness. The molecular mechanism of PFV remains unclear. As a glycosyltransferase of α-dystroglycan, LARGE mutations have been found in congenital muscular dystrophy patients with brain abnormalities. Spontaneous Large mutant mice displayed similar symptoms of human muscle-eye-brain disorders. However, the detailed roles of Large in ocular vasculature development still need to be uncovered. In this paper, we report that a novel Large mutation generated by the piggyBac transposon insertion leads to PFV and abnormal retinal vasculature in mice. Glycosylation of α-DG, an essential component of the extracellular matrix, was significantly impaired in these Large mutants, leading to broken inner limiting membrane (ILM). As a guide of the retinal vasculature development, the distribution of retinal astrocytes became irregular within the retina, and many astrocytes abnormally migrated into the vitreous along with the hyaloid vessels in Large mutants. Large is essential for ILM formation and retinal astrocyte migration. The novel Large mutant mouse can serve as a new PFV model to further dissect LARGE functions in ocular vasculature development.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Student > Ph. D. Student 3 20%
Student > Master 2 13%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Other 2 13%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Biochemistry, Genetics and Molecular Biology 4 27%
Engineering 2 13%
Neuroscience 2 13%
Unspecified 1 7%
Other 0 0%
Unknown 2 13%

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 25 April 2017.
All research outputs
#8,460,264
of 9,724,738 outputs
Outputs from Cell & Bioscience
#184
of 220 outputs
Outputs of similar age
#218,501
of 261,474 outputs
Outputs of similar age from Cell & Bioscience
#3
of 3 outputs
Altmetric has tracked 9,724,738 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 220 research outputs from this source. They receive a mean Attention Score of 2.2. 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 261,474 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 3 others from the same source and published within six weeks on either side of this one.