Evidence map›Paper›PMID 29871895›Full record

ArticleRNA (New York, N.Y.)2018

Expanding the horizons of microRNA bioinformatics.

Rachael P Huntley, Barbara Kramarz, Tony Sawford, Zara Umrao, Anastasia Kalea, Vanessa Acquaah, Maria J Martin, Manuel Mayr, Ruth C Lovering

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. RNAenrich: a web server for non-coding RNA enrichment.Bioinformatics (Oxford, England) · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. emiRIT: a text-mining-based resource for microRNA information.Database : the journal of biological databases and curation · 2021
    Article
  15. Article
  16. Article
  17. Integrative approaches for analysis of mRNA and microRNA high-throughput data.Computational and structural biotechnology journal · 2021
    Review
  18. Review
  19. Review
  20. Article
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

9 authors.

Rachael P HuntleyInstitute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.ORCID 0000-0001-6718-3559
Barbara KramarzInstitute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.ORCID 0000-0002-3898-1727
Tony SawfordEuropean Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge CB10 1SD, United Kingdom.ORCID 0000-0001-6772-4626
Zara UmraoInstitute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.
Anastasia KaleaInstitute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.ORCID 0000-0001-5775-3984
Vanessa AcquaahInstitute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.
Maria J MartinEuropean Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge CB10 1SD, United Kingdom.ORCID 0000-0001-5454-2815
Manuel MayrKing's British Heart Foundation Centre, King's College London, London SE5 9NU, United Kingdom.ORCID 0000-0002-0597-829X
Ruth C LoveringInstitute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.ORCID 0000-0002-9791-0064

Funding

Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
British Heart Foundation CH/16/3/32406British Heart Foundation FS/13/2/29892British Heart Foundation RG/13/5/30112British Heart Foundation RG/16/14/32397British Heart Foundation SP/17/10/33219NHGRI NIH HHS U41 HG002273
6 · The paper itself

Abstract

MicroRNA regulation of key biological and developmental pathways is a rapidly expanding area of research, accompanied by vast amounts of experimental data. This data, however, is not widely available in bioinformatic resources, making it difficult for researchers to find and analyze microRNA-related experimental data and define further research projects. We are addressing this problem by providing two new bioinformatics data sets that contain experimentally verified functional information for mammalian microRNAs involved in cardiovascular-relevant, and other, processes. To date, our resource provides over 4400 Gene Ontology annotations associated with over 500 microRNAs from human, mouse, and rat and over 2400 experimentally validated microRNA:target interactions. We illustrate how this resource can be used to create microRNA-focused interaction networks with a biological context using the known biological role of microRNAs and the mRNAs they regulate, enabling discovery of associations between gene products, biological pathways and, ultimately, diseases. This data will be crucial in advancing the field of microRNA bioinformatics and will establish consistent data sets for reproducible functional analysis of microRNAs across all biological research areas.

Indexed as

Databases, GeneticGene OntologyAnimalsComputational BiologyGene Regulatory NetworksHumansMiceMicroRNAsMolecular Sequence AnnotationRatsMicroRNAsbioinformatic resourcefunctional annotationGene OntologymicroRNAnetwork analysispathway analysis

Identifiers

PMID29871895
PMCPMC6049505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.