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Transcripts within rod photoreceptors of the Zebrafish retina

Overview of attention for article published in BMC Genomics, February 2018
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Title
Transcripts within rod photoreceptors of the Zebrafish retina
Published in
BMC Genomics, February 2018
DOI 10.1186/s12864-018-4499-y
Pubmed ID
Authors

Chi Sun, Carlos Galicia, Deborah L. Stenkamp

Abstract

The purpose of this study was to identify transcripts of retinal rod photoreceptors of the zebrafish. The zebrafish is an important animal model for vision science due to rapid and tractable development, persistent neurogenesis of rods throughout the lifespan, and capacity for functional retinal regeneration. Zebrafish rods, and non-rod retinal cells of the xops:eGFP transgenic line, were separated by cell dissociation and fluorescence-activated cell sorting (FACS), followed by RNA-seq. At a false discovery rate of < 0.01, 597 transcripts were upregulated ("enriched") in rods vs. other retinal cells, and 1032 were downregulated ("depleted"). Thirteen thousand three hundred twenty four total transcripts were detected in rods, including many not previously known to be expressed by rods. Forty five transcripts were validated by qPCR in FACS-sorted rods vs. other retinal cells. Transcripts enriched in rods from adult retinas were also enriched in rods from larval and juvenile retinas, and were also enriched in rods sorted from retinas subjected to a neurotoxic lesion and allowed to regenerate. Many transcripts enriched in rods were upregulated in retinas of wildtype retinas vs. those of a zebrafish model for rod degeneration. We report the generation and validation of an RNA-seq dataset describing the rod transcriptome of the zebrafish, which is now available as a resource for further studies of rod photoreceptor biology and comparative transcriptomics.

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 14%
Researcher 6 12%
Student > Master 6 12%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 5 10%
Other 8 16%
Unknown 13 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 32%
Neuroscience 7 14%
Agricultural and Biological Sciences 5 10%
Medicine and Dentistry 3 6%
Veterinary Science and Veterinary Medicine 2 4%
Other 2 4%
Unknown 15 30%
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 17 April 2018.
All research outputs
#20,481,952
of 23,043,346 outputs
Outputs from BMC Genomics
#9,325
of 10,697 outputs
Outputs of similar age
#377,332
of 439,482 outputs
Outputs of similar age from BMC Genomics
#183
of 204 outputs
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