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Non-coding RNAs match the deleted genomic regions in humans

Overview of attention for article published in Scientific Reports, November 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Non-coding RNAs match the deleted genomic regions in humans
Published in
Scientific Reports, November 2016
DOI 10.1038/srep37452
Pubmed ID
Authors

Boseon Byeon, Igor Kovalchuk

Abstract

RNA is transcribed from DNA, and therefore, there should be no RNA transcript from the deleted DNA region. Our study attempted to analyse whether any RNA cache that maps the deleted regions is present in human cells. Using data from the 1000 genome project, we selected 41 CEPH (CEU) and 38 Yoruba (YRI) samples that included the data for the entire genome sequence and ncRNA and mRNA sequences. Aligning the ncRNA reads against the genomic DNA in individual samples has revealed that 229 out of 1114 homozygous deletions have ncRNA reads that map to them. Further analysis has revealed that ncRNA reads that map the deleted regions are enriched around the deletion ends and at genic regions of the genome. The read enrichment at deletion ends suggests that these ncRNAs are likely some form of double-strand break induced RNAs. Our analysis suggests that human cells may contain a residual ncRNA cache that is possibly propagated across generations.

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X Demographics

The data shown below were collected from the profiles of 6 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Ph. D. Student 2 20%
Lecturer 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Other 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Earth and Planetary Sciences 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Veterinary Science and Veterinary Medicine 1 10%
Computer Science 1 10%
Other 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 December 2016.
All research outputs
#7,247,083
of 22,901,818 outputs
Outputs from Scientific Reports
#49,085
of 123,747 outputs
Outputs of similar age
#132,979
of 417,510 outputs
Outputs of similar age from Scientific Reports
#1,412
of 3,330 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 123,747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 59% 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 417,510 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 67% of its contemporaries.
We're also able to compare this research output to 3,330 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 56% of its contemporaries.