Evidence map›Paper›PMID 30400819›Full record

ArticleBMC bioinformatics2018

Detection of long non-coding RNA homology, a comparative study on alignment and alignment-free metrics.

Teresa M R Noviello, Antonella Di Liddo, Giovanna M Ventola, Antonietta Spagnuolo, Salvatore D'Aniello, Michele Ceccarelli, Luigi Cerulo

Abstract readComparative Study
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
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  8. Melatonin Attenuates HInternational journal of molecular sciences · 2022
    Article
  9. Article
  10. LncRNAs in domesticated animals: from dog to livestock species.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  11. Review
  12. Article
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  16. Article
  17. Decoding LncRNAs.Cancers · 2021
    Review
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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

7 authors.

Teresa M R NovielloDep. of Science and Technology, University of Sannio, via Port'Arsa, 11, Benevento, 82100, Italy.
Antonella Di LiddoBuchmann Institute for Molecular Life Sciences, Goethe University, Max-von-Laue-Straße 13, Frankfurt am Main, 60438, Germany.
Giovanna M VentolaGenomix4Life S.r.l., Via Salvador Allende, Baronissi (SA), 84081, Italy.
Antonietta SpagnuoloDep. of Biology and Evolution of Marine Organisms, Stazione Zoologica "A. Dohrn", Villa Comunale, Napoli, 80121, Italy.
Salvatore D'AnielloDep. of Biology and Evolution of Marine Organisms, Stazione Zoologica "A. Dohrn", Villa Comunale, Napoli, 80121, Italy.
Michele CeccarelliDep. of Science and Technology, University of Sannio, via Port'Arsa, 11, Benevento, 82100, Italy.
Luigi CeruloDep. of Science and Technology, University of Sannio, via Port'Arsa, 11, Benevento, 82100, Italy. lcerulo@unisannio.it.ORCID http://orcid.org/0000-0001-8342-3487

Funding

FIRB2012 FIRB2012-RBFR12QW4I
6 · The paper itself

Abstract

backgroundLong non-coding RNAs (lncRNAs) represent a novel class of non-coding RNAs having a crucial role in many biological processes. The identification of long non-coding homologs among different species is essential to investigate such roles in model organisms as homologous genes tend to retain similar molecular and biological functions. Alignment-based metrics are able to effectively capture the conservation of transcribed coding sequences and then the homology of protein coding genes. However, unlike protein coding genes the poor sequence conservation of long non-coding genes makes the identification of their homologs a challenging task.

resultsIn this study we compare alignment-based and alignment-free string similarity metrics and look at promoter regions as a possible source of conserved information. We show that promoter regions encode relevant information for the conservation of long non-coding genes across species and that such information is better captured by alignment-free metrics. We perform a genome wide test of this hypothesis in human, mouse, and zebrafish.

conclusionsThe obtained results persuaded us to postulate the new hypothesis that, unlike protein coding genes, long non-coding genes tend to preserve their regulatory machinery rather than their transcribed sequence. All datasets, scripts, and the prediction tools adopted in this study are available at https://github.com/bioinformatics-sannio/lncrna-homologs .

Indexed as

Conserved SequenceGene Expression RegulationGenomeAnimalsHumansMiceRNA, Long NoncodingSequence AlignmentZebrafishRNA, Long NoncodingHomologyLong ncRNAString similarity

Identifiers

PMID30400819
PMCPMC6220562

What OpenQuestion holds

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LicenceCC BY
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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.