↓ Skip to main content

PLOS

Differentiating Protein-Coding and Noncoding RNA: Challenges and Ambiguities

Overview of attention for article published in PLoS Computational Biology, November 2008
Altmetric Badge

Mentioned by

twitter
2 X users
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
467 Dimensions

Readers on

mendeley
640 Mendeley
citeulike
15 CiteULike
Title
Differentiating Protein-Coding and Noncoding RNA: Challenges and Ambiguities
Published in
PLoS Computational Biology, November 2008
DOI 10.1371/journal.pcbi.1000176
Pubmed ID
Authors

Marcel E. Dinger, Ken C. Pang, Tim R. Mercer, John S. Mattick

Abstract

The assumption that RNA can be readily classified into either protein-coding or non-protein-coding categories has pervaded biology for close to 50 years. Until recently, discrimination between these two categories was relatively straightforward: most transcripts were clearly identifiable as protein-coding messenger RNAs (mRNAs), and readily distinguished from the small number of well-characterized non-protein-coding RNAs (ncRNAs), such as transfer, ribosomal, and spliceosomal RNAs. Recent genome-wide studies have revealed the existence of thousands of noncoding transcripts, whose function and significance are unclear. The discovery of this hidden transcriptome and the implicit challenge it presents to our understanding of the expression and regulation of genetic information has made the need to distinguish between mRNAs and ncRNAs both more pressing and more complicated. In this Review, we consider the diverse strategies employed to discriminate between protein-coding and noncoding transcripts and the fundamental difficulties that are inherent in what may superficially appear to be a simple problem. Misannotations can also run in both directions: some ncRNAs may actually encode peptides, and some of those currently thought to do so may not. Moreover, recent studies have shown that some RNAs can function both as mRNAs and intrinsically as functional ncRNAs, which may be a relatively widespread phenomenon. We conclude that it is difficult to annotate an RNA unequivocally as protein-coding or noncoding, with overlapping protein-coding and noncoding transcripts further confounding this distinction. In addition, the finding that some transcripts can function both intrinsically at the RNA level and to encode proteins suggests a false dichotomy between mRNAs and ncRNAs. Therefore, the functionality of any transcript at the RNA level should not be discounted.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 640 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 2%
United Kingdom 7 1%
India 5 <1%
Australia 3 <1%
Netherlands 2 <1%
Mexico 2 <1%
Italy 1 <1%
Ireland 1 <1%
Norway 1 <1%
Other 14 2%
Unknown 593 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 169 26%
Researcher 127 20%
Student > Master 93 15%
Student > Bachelor 57 9%
Student > Doctoral Student 32 5%
Other 97 15%
Unknown 65 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 292 46%
Biochemistry, Genetics and Molecular Biology 178 28%
Medicine and Dentistry 28 4%
Computer Science 21 3%
Neuroscience 13 2%
Other 31 5%
Unknown 77 12%