Evidence map›Paper›PMID 29986053›Full record

ArticleNucleic acids research2018

Identification of transcribed protein coding sequence remnants within lincRNAs.

Sweta Talyan, Miguel A Andrade-Navarro, Enrique M Muro

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. A Methodology to Study Pseudogenized lincRNAs.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Sweta TalyanFaculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.
Miguel A Andrade-NavarroFaculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.
Enrique M MuroFaculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.
Johannes Gutenberg University Mainz · DEInstitute of Molecular Biology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long intergenic non-coding RNAs (lincRNAs) are non-coding transcripts >200 nucleotides long that do not overlap protein-coding sequences. Importantly, such elements are known to be tissue-specifically expressed and to play a widespread role in gene regulation across thousands of genomic loci. However, very little is known of the mechanisms for the evolutionary biogenesis of these RNA elements, especially given their poor conservation across species. It has been proposed that lincRNAs might arise from pseudogenes. To test this systematically, we developed a novel method that searches for remnants of protein-coding sequences within lincRNA transcripts; the hypothesis is that we can trace back their biogenesis from protein-coding genes or posterior transposon/retrotransposon insertions. Applying this method, we found 203 human lincRNA genes with regions significantly similar to protein-coding sequences. Our method provides a visualization tool to trace the evolutionary biogenesis of lincRNAs with respect to protein-coding genes by sequence divergence. Subsequently, we show the expression correlation between lincRNAs and their identified parental protein-coding genes using public RNA-seq repositories, hinting at novel gene regulatory relationships. In summary, we developed a novel computational methodology to study non-coding gene sequences, which can be applied to identify the evolutionary biogenesis and function of lincRNAs.

Indexed as

AlgorithmsAmino Acid SequenceBase SequenceComputational BiologyDNA, IntergenicGene Expression RegulationHumansOpen Reading FramesRNA, Long NoncodingSequence AlignmentSequence Analysis, ProteinSequence Analysis, RNADNA, IntergenicRNA, Long Noncoding

Identifiers

PMID29986053
PMCPMC6158594
OpenAlexW2881587421

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.