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Transcriptome profiling of aging Drosophila photoreceptors reveals gene expression trends that correlate with visual senescence

Overview of attention for article published in BMC Genomics, November 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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8 tweeters
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1 Facebook page

Citations

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18 Dimensions

Readers on

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20 Mendeley
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Title
Transcriptome profiling of aging Drosophila photoreceptors reveals gene expression trends that correlate with visual senescence
Published in
BMC Genomics, November 2017
DOI 10.1186/s12864-017-4304-3
Pubmed ID
Authors

Hana Hall, Patrick Medina, Daphne A. Cooper, Spencer E. Escobedo, Jeremiah Rounds, Kaelan J. Brennan, Christopher Vincent, Pedro Miura, Rebecca Doerge, Vikki M. Weake

Abstract

Aging is associated with functional decline of neurons and increased incidence of both neurodegenerative and ocular disease. Photoreceptor neurons in Drosophila melanogaster provide a powerful model for studying the molecular changes involved in functional senescence of neurons since decreased visual behavior precedes retinal degeneration. Here, we sought to identify gene expression changes and the genomic features of differentially regulated genes in photoreceptors that contribute to visual senescence. To identify gene expression changes that could lead to visual senescence, we characterized the aging transcriptome of Drosophila sensory neurons highly enriched for photoreceptors. We profiled the nuclear transcriptome of genetically-labeled photoreceptors over a 40 day time course and identified increased expression of genes involved in stress and DNA damage response, and decreased expression of genes required for neuronal function. We further show that combinations of promoter motifs robustly identify age-regulated genes, suggesting that transcription factors are important in driving expression changes in aging photoreceptors. However, long, highly expressed and heavily spliced genes are also more likely to be downregulated with age, indicating that other mechanisms could contribute to expression changes at these genes. Lastly, we identify that circular RNAs (circRNAs) strongly increase during aging in photoreceptors. Overall, we identified changes in gene expression in aging Drosophila photoreceptors that could account for visual senescence. Further, we show that genomic features predict these age-related changes, suggesting potential mechanisms that could be targeted to slow the rate of age-associated visual decline.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Bachelor 4 20%
Student > Master 4 20%
Researcher 3 15%
Other 2 10%
Other 2 10%
Unknown 1 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 55%
Agricultural and Biological Sciences 4 20%
Environmental Science 1 5%
Immunology and Microbiology 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 June 2018.
All research outputs
#3,891,098
of 13,157,264 outputs
Outputs from BMC Genomics
#2,470
of 7,744 outputs
Outputs of similar age
#133,608
of 386,862 outputs
Outputs of similar age from BMC Genomics
#276
of 821 outputs
Altmetric has tracked 13,157,264 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,744 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 386,862 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 821 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.