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Bovine ncRNAs Are Abundant, Primarily Intergenic, Conserved and Associated with Regulatory Genes

Overview of attention for article published in PLOS ONE, August 2012
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Title
Bovine ncRNAs Are Abundant, Primarily Intergenic, Conserved and Associated with Regulatory Genes
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042638
Pubmed ID
Authors

Zhipeng Qu, David L. Adelson

Abstract

It is apparent that non-coding transcripts are a common feature of higher organisms and encode uncharacterized layers of genetic regulation and information. We used public bovine EST data from many developmental stages and tissues, and developed a pipeline for the genome wide identification and annotation of non-coding RNAs (ncRNAs). We have predicted 23,060 bovine ncRNAs, 99% of which are un-annotated, based on known ncRNA databases. Intergenic transcripts accounted for the majority (57%) of the predicted ncRNAs and the occurrence of ncRNAs and genes were only moderately correlated (r = 0.55, p-value<2.2e-16). Many of these intergenic non-coding RNAs mapped close to the 3' or 5' end of thousands of genes and many of these were transcribed from the opposite strand with respect to the closest gene, particularly regulatory-related genes. Conservation analyses showed that these ncRNAs were evolutionarily conserved, and many intergenic ncRNAs proximate to genes contained sequence-specific motifs. Correlation analysis of expression between these intergenic ncRNAs and protein-coding genes using RNA-seq data from a variety of tissues showed significant correlations with many transcripts. These results support the hypothesis that ncRNAs are common, transcribed in a regulated fashion and have regulatory functions.

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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 %
United Kingdom 2 6%
United States 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 28%
Student > Bachelor 6 17%
Student > Ph. D. Student 6 17%
Professor > Associate Professor 3 8%
Student > Doctoral Student 2 6%
Other 5 14%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 56%
Biochemistry, Genetics and Molecular Biology 7 19%
Veterinary Science and Veterinary Medicine 1 3%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 5 14%