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Nuclear and mitochondrial tRNA-lookalikes in the human genome

Overview of attention for article published in Frontiers in Genetics, October 2014
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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 (99th percentile)

Mentioned by

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9 news outlets
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5 X users
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1 peer review site
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1 Facebook page
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6 Wikipedia pages
googleplus
1 Google+ user

Citations

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34 Dimensions

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57 Mendeley
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Title
Nuclear and mitochondrial tRNA-lookalikes in the human genome
Published in
Frontiers in Genetics, October 2014
DOI 10.3389/fgene.2014.00344
Pubmed ID
Authors

Aristeidis G. Telonis, Phillipe Loher, Yohei Kirino, Isidore Rigoutsos

Abstract

We are interested in identifying and characterizing loci of the human genome that harbor sequences resembling known mitochondrial and nuclear tRNAs. To this end, we used the known nuclear and mitochondrial tRNA genes (the "tRNA-Reference" set) to search for "tRNA-lookalikes" and found many such loci at different levels of sequence conservation. We find that the large majority of these tRNA-lookalikes resemble mitochondrial tRNAs and exhibit a skewed over-representation in favor of some mitochondrial anticodons. Our analysis shows that the tRNA-lookalikes have infiltrated specific chromosomes and are preferentially located in close proximity to known nuclear tRNAs (z-score ≤ -2.54, P-value ≤ 0.00394). Examination of the transcriptional potential of these tRNA-lookalike loci using public transcript annotations revealed that more than 20% of the lookalikes are transcribed as part of either known protein-coding pre-mRNAs, known lncRNAs, or known non-protein-coding RNAs, while public RNA-seq data perfectly agreed with the endpoints of tRNA-lookalikes. Interestingly, we found that tRNA-lookalikes are significantly depleted in known genetic variations associated with human health and disease whereas the known tRNAs are enriched in such variations. Lastly, a manual comparative analysis of the cloverleaf structure of several of the transcribed tRNA-lookalikes revealed no disruptive mutations suggesting the possibility that these loci give rise to functioning tRNA molecules.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 4%
Finland 1 2%
United States 1 2%
Germany 1 2%
Unknown 52 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 26%
Student > Ph. D. Student 15 26%
Student > Master 6 11%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 4 7%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 40%
Biochemistry, Genetics and Molecular Biology 18 32%
Medicine and Dentistry 2 4%
Business, Management and Accounting 1 2%
Computer Science 1 2%
Other 3 5%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 25 September 2022.
All research outputs
#631,835
of 24,501,737 outputs
Outputs from Frontiers in Genetics
#95
of 13,209 outputs
Outputs of similar age
#6,768
of 260,259 outputs
Outputs of similar age from Frontiers in Genetics
#2
of 125 outputs
Altmetric has tracked 24,501,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,209 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 99% 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 260,259 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 125 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 99% of its contemporaries.