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Sense-antisense gene pairs: sequence, transcription, and structure are not conserved between human and mouse

Overview of attention for article published in Frontiers in Genetics, January 2013
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Title
Sense-antisense gene pairs: sequence, transcription, and structure are not conserved between human and mouse
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00183
Pubmed ID
Authors

Emily J. Wood, Kwanrutai Chin-Inmanu, Hui Jia, Leonard Lipovich

Abstract

Previous efforts to characterize conservation between the human and mouse genomes focused largely on sequence comparisons. These studies are inherently limited because they don't account for gene structure differences, which may exist despite genomic sequence conservation. Recent high-throughput transcriptome studies have revealed widespread and extensive overlaps between genes, and transcripts, encoded on both strands of the genomic sequence. This overlapping gene organization, which produces sense-antisense (SAS) gene pairs, is capable of effecting regulatory cascades through established mechanisms. We present an evolutionary conservation assessment of SAS pairs, on three levels: genomic, transcriptomic, and structural. From a genome-wide dataset of human SAS pairs, we first identified orthologous loci in the mouse genome, then assessed their transcription in the mouse, and finally compared the genomic structures of SAS pairs expressed in both species. We found that approximately half of human SAS loci have single orthologous locations in the mouse genome; however, only half of those orthologous locations have SAS transcriptional activity in the mouse. This suggests that high human-mouse gene conservation overlooks widespread distinctions in SAS pair incidence and expression. We compared gene structures at orthologous SAS loci, finding frequent differences in gene structure between human and orthologous mouse SAS pair members. Our categorization of human SAS pairs with respect to mouse conservation of expression as well as structure points to limitations of mouse models. Gene structure differences, including at SAS loci, may account for some of the phenotypic distinctions between primates and rodents. Genes in non-conserved SAS pairs may contribute to evolutionary lineage-specific regulatory outcomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Germany 1 1%
United Kingdom 1 1%
Norway 1 1%
Japan 1 1%
United States 1 1%
Unknown 90 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 27%
Researcher 18 19%
Student > Master 10 10%
Student > Bachelor 7 7%
Professor 6 6%
Other 15 15%
Unknown 15 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 32%
Biochemistry, Genetics and Molecular Biology 30 31%
Engineering 4 4%
Computer Science 3 3%
Medicine and Dentistry 2 2%
Other 10 10%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 September 2013.
All research outputs
#13,897,567
of 22,723,682 outputs
Outputs from Frontiers in Genetics
#3,497
of 11,757 outputs
Outputs of similar age
#164,417
of 280,763 outputs
Outputs of similar age from Frontiers in Genetics
#147
of 319 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,757 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 67% 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 280,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 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 50% of its contemporaries.