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Long non-coding RNAs and human disease

Authors: Lorna W, Harries;

Long non-coding RNAs and human disease

Abstract

The central dogma of molecular biology states that DNA is transcribed into RNA, which in turn is translated into proteins. We now know, however, that as much as 50% of the transcriptome has no protein-coding potential, but rather represents an important class of regulatory molecules responsible for the fine-tuning of gene expression. Although the role of small regulatory RNAs [microRNAs and siRNAs (small interfering RNA)] is well defined, another much less characterized category of non-coding transcripts exists, namely lncRNAs (long non-coding RNAs). Pervasively expressed by eukaryotic genomes, lncRNAs can be kilobases long and regulate their targets by influencing the epigenetic control, chromatin status, mRNA processing or translation capacity of their targets. In the present review, I outline the potential mechanisms of action of lncRNAs, the cellular processes that have been associated with them, and also explore some of the emerging evidence for their involvement in common human disease.

Keywords

MicroRNAs, Humans, Disease, RNA, Long Noncoding, RNA, Small Interfering, Epigenesis, Genetic

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
246
Top 1%
Top 1%
Top 1%
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