ArticleFrontiers in genetics2014
Identification of a dinucleotide signature that discriminates coding from non-coding long RNAs.
Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Insights into Synonymous Codon Usage Bias in Hepatitis C Virus and Its Adaptation to Hosts.Pathogens (Basel, Switzerland) · 2023Article
- Interpretable Deep Learning Model Reveals Subsequences of Various Functions for Long Non-Coding RNA Identification.Frontiers in genetics · 2022Article
- Multiple information carried by RNAs: total eclipse or a light at the end of the tunnel?RNA biology · 2020Review
- Sequence-Specific Sensing of Nucleic Acids.Trends in immunology · 2017Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To date, the main criterion by which long ncRNAs (lncRNAs) are discriminated from mRNAs is based on the capacity of the transcripts to encode a protein. However, it becomes important to identify non-ORF-based sequence characteristics that can be used to parse between ncRNAs and mRNAs. In this study, we first established an extremely selective workflow to define a highly refined database of lncRNAs which was used for comparison with mRNAs. Then using this highly selective collection of lncRNAs, we found the CG dinucleotide frequencies were clearly distinct. In addition, we showed that the bias in CG dinucleotide frequency was conserved in human and mouse genomes. We propose that this sequence feature will serve as a useful classifier in transcript classification pipelines. We also suggest that our refined database of "bona fide" lncRNAs will be valuable for the discovery of other sequence characteristics distinct to lncRNAs.
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