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A subset of conserved mammalian long non-coding RNAs are fossils of ancestral protein-coding genes

Overview of attention for article published in Genome Biology, August 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
106 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
133 Mendeley
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1 CiteULike
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Title
A subset of conserved mammalian long non-coding RNAs are fossils of ancestral protein-coding genes
Published in
Genome Biology, August 2017
DOI 10.1186/s13059-017-1293-0
Pubmed ID
Authors

Hadas Hezroni, Rotem Ben-Tov Perry, Zohar Meir, Gali Housman, Yoav Lubelsky, Igor Ulitsky

Abstract

Only a small portion of human long non-coding RNAs (lncRNAs) appear to be conserved outside of mammals, but the events underlying the birth of new lncRNAs in mammals remain largely unknown. One potential source is remnants of protein-coding genes that transitioned into lncRNAs. We systematically compare lncRNA and protein-coding loci across vertebrates, and estimate that up to 5% of conserved mammalian lncRNAs are derived from lost protein-coding genes. These lncRNAs have specific characteristics, such as broader expression domains, that set them apart from other lncRNAs. Fourteen lncRNAs have sequence similarity with the loci of the contemporary homologs of the lost protein-coding genes. We propose that selection acting on enhancer sequences is mostly responsible for retention of these regions. As an example of an RNA element from a protein-coding ancestor that was retained in the lncRNA, we describe in detail a short translated ORF in the JPX lncRNA that was derived from an upstream ORF in a protein-coding gene and retains some of its functionality. We estimate that ~ 55 annotated conserved human lncRNAs are derived from parts of ancestral protein-coding genes, and loss of coding potential is thus a non-negligible source of new lncRNAs. Some lncRNAs inherited regulatory elements influencing transcription and translation from their protein-coding ancestors and those elements can influence the expression breadth and functionality of these lncRNAs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 106 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 133 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 25%
Student > Ph. D. Student 28 21%
Student > Master 20 15%
Student > Bachelor 12 9%
Student > Doctoral Student 8 6%
Other 15 11%
Unknown 17 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 56 42%
Agricultural and Biological Sciences 40 30%
Medicine and Dentistry 6 5%
Neuroscience 2 2%
Chemistry 2 2%
Other 7 5%
Unknown 20 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 122. 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 30 May 2023.
All research outputs
#342,884
of 25,402,528 outputs
Outputs from Genome Biology
#152
of 4,470 outputs
Outputs of similar age
#7,332
of 323,522 outputs
Outputs of similar age from Genome Biology
#2
of 56 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 96% 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 323,522 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.