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Global Intersection of Long Non-Coding RNAs with Processed and Unprocessed Pseudogenes in the Human Genome

Overview of attention for article published in Frontiers in Genetics, March 2016
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Global Intersection of Long Non-Coding RNAs with Processed and Unprocessed Pseudogenes in the Human Genome
Published in
Frontiers in Genetics, March 2016
DOI 10.3389/fgene.2016.00026
Pubmed ID
Authors

Michael J. Milligan, Erin Harvey, Albert Yu, Ashleigh L. Morgan, Daniela L. Smith, Eden Zhang, Jonathan Berengut, Jothini Sivananthan, Radhini Subramaniam, Aleksandra Skoric, Scott Collins, Caio Damski, Kevin V. Morris, Leonard Lipovich

Abstract

Pseudogenes are abundant in the human genome and had long been thought of purely as nonfunctional gene fossils. Recent observations point to a role for pseudogenes in regulating genes transcriptionally and post-transcriptionally in human cells. To computationally interrogate the network space of integrated pseudogene and long non-coding RNA regulation in the human transcriptome, we developed and implemented an algorithm to identify all long non-coding RNA (lncRNA) transcripts that overlap the genomic spans, and specifically the exons, of any human pseudogenes in either sense or antisense orientation. As inputs to our algorithm, we imported three public repositories of pseudogenes: GENCODE v17 (processed and unprocessed, Ensembl 72); Retroposed Pseudogenes V5 (processed only), and Yale Pseudo60 (processed and unprocessed, Ensembl 60); two public lncRNA catalogs: Broad Institute, GENCODE v17; NCBI annotated piRNAs; and NHGRI clinical variants. The data sets were retrieved from the UCSC Genome Database using the UCSC Table Browser. We identified 2277 loci containing exon-to-exon overlaps between pseudogenes, both processed and unprocessed, and long non-coding RNA genes. Of these loci we identified 1167 with Genbank EST and full-length cDNA support providing direct evidence of transcription on one or both strands with exon-to-exon overlaps. The analysis converged on 313 pseudogene-lncRNA exon-to-exon overlaps that were bidirectionally supported by both full-length cDNAs and ESTs. In the process of identifying transcribed pseudogenes, we generated a comprehensive, positionally non-redundant encyclopedia of human pseudogenes, drawing upon multiple, and formerly disparate public pseudogene repositories. Collectively, these observations suggest that pseudogenes are pervasively transcribed on both strands and are common drivers of gene regulation.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 28%
Student > Master 8 22%
Student > Ph. D. Student 6 17%
Professor > Associate Professor 3 8%
Professor 2 6%
Other 3 8%
Unknown 4 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 53%
Agricultural and Biological Sciences 8 22%
Neuroscience 2 6%
Medicine and Dentistry 2 6%
Environmental Science 1 3%
Other 0 0%
Unknown 4 11%
Attention Score in Context

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 14 April 2016.
All research outputs
#12,755,748
of 22,858,915 outputs
Outputs from Frontiers in Genetics
#2,581
of 11,879 outputs
Outputs of similar age
#134,243
of 300,491 outputs
Outputs of similar age from Frontiers in Genetics
#25
of 75 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,879 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 300,491 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 54% of its contemporaries.
We're also able to compare this research output to 75 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 62% of its contemporaries.