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Gene regulation by the act of long non-coding RNA transcription

Overview of attention for article published in BMC Biology, May 2013
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Title
Gene regulation by the act of long non-coding RNA transcription
Published in
BMC Biology, May 2013
DOI 10.1186/1741-7007-11-59
Pubmed ID
Authors

Aleksandra E Kornienko, Philipp M Guenzl, Denise P Barlow, Florian M Pauler

Abstract

Long non-protein-coding RNAs (lncRNAs) are proposed to be the largest transcript class in the mouse and human transcriptomes. Two important questions are whether all lncRNAs are functional and how they could exert a function. Several lncRNAs have been shown to function through their product, but this is not the only possible mode of action. In this review we focus on a role for the process of lncRNA transcription, independent of the lncRNA product, in regulating protein-coding-gene activity in cis. We discuss examples where lncRNA transcription leads to gene silencing or activation, and describe strategies to determine if the lncRNA product or its transcription causes the regulatory effect.

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X Demographics

The data shown below were collected from the profiles of 16 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 673 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 1%
United Kingdom 7 1%
Brazil 4 <1%
Portugal 2 <1%
France 2 <1%
Denmark 2 <1%
Netherlands 2 <1%
Mexico 2 <1%
Finland 2 <1%
Other 14 2%
Unknown 629 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 188 28%
Researcher 115 17%
Student > Master 85 13%
Student > Bachelor 74 11%
Student > Doctoral Student 33 5%
Other 86 13%
Unknown 92 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 268 40%
Biochemistry, Genetics and Molecular Biology 210 31%
Medicine and Dentistry 32 5%
Computer Science 14 2%
Immunology and Microbiology 11 2%
Other 38 6%
Unknown 100 15%