↓ Skip to main content

Transcripts within rod photoreceptors of the Zebrafish retina

Overview of attention for article published in BMC Genomics, February 2018
Altmetric Badge

Mentioned by

twitter
1 X user
bluesky
1 Bluesky user

Readers on

mendeley
59 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
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
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.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Student > Bachelor 7 12%
Student > Master 6 10%
Researcher 6 10%
Student > Doctoral Student 5 8%
Other 8 14%
Unknown 19 32%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 29%
Neuroscience 7 12%
Agricultural and Biological Sciences 5 8%
Veterinary Science and Veterinary Medicine 2 3%
Medicine and Dentistry 2 3%
Other 4 7%
Unknown 22 37%
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
#22,696,343
of 27,786,078 outputs
Outputs from BMC Genomics
#8,985
of 11,551 outputs
Outputs of similar age
#351,605
of 455,158 outputs
Outputs of similar age from BMC Genomics
#159
of 201 outputs
Altmetric has tracked 27,786,078 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,551 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 12th percentile – i.e., 12% 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 455,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.