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Characterization of the Rx1-dependent transcriptome during early retinal development

Overview of attention for article published in Developmental Dynamics, May 2014
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Title
Characterization of the Rx1-dependent transcriptome during early retinal development
Published in
Developmental Dynamics, May 2014
DOI 10.1002/dvdy.24145
Pubmed ID
Authors

Guido Giudetti, Martina Giannaccini, Daniele Biasci, Sara Mariotti, Andrea Degl'innocenti, Michele Perrotta, Giuseppina Barsacchi, Massimiliano Andreazzoli

Abstract

Background: The transcription factor Rx1, also known as Rax, controls key properties of retinal precursors including migration behavior, proliferation, and maintenance of multipotency. However, Rx1 effector genes are largely unknown. Results: To identify genes controlled by Rx1 in early retinal precursors, we compared the transcriptome of Xenopus embryos overexpressing Rx1 to that of embryos in which Rx1 was knocked-down. In particular, we selected 52 genes coherently regulated, i.e., actived in Rx1 gain of function and repressed in Rx1 loss of function experiments, or vice versa. RT-qPCR and in situ hybridization confirmed the trend of regulation predicted by microarray data for the selected genes. Most of the genes upregulated by Rx1 are coexpressed with this transcription factor, while downregulated genes are either not expressed or expressed at very low levels in the early developing retina. Putative direct Rx1 target genes, activated by GR-Rx1 in the absence of protein synthesis, include Ephrin B1 and Sh2d3c, an interactor of ephrinB1 receptor, which represent candidate novel effectors for the migration promoting activity of Rx1. Conclusions: This study identifies previously undescribed Rx1 regulated genes mainly involved in transcription regulation, cell migration/adhesion, and cell proliferation that contribute to delineate the molecular mechanisms underlying Rx1 activities. Developmental Dynamics, 2014. © 2014 Wiley Periodicals, Inc.

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Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
United States 1 5%
Germany 1 5%
Unknown 16 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 42%
Student > Ph. D. Student 5 26%
Student > Master 3 16%
Student > Bachelor 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 63%
Biochemistry, Genetics and Molecular Biology 6 32%
Computer Science 1 5%

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 May 2014.
All research outputs
#10,801,333
of 12,184,120 outputs
Outputs from Developmental Dynamics
#1,304
of 1,388 outputs
Outputs of similar age
#164,464
of 198,771 outputs
Outputs of similar age from Developmental Dynamics
#14
of 17 outputs
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