Evidence map›Paper›PMID 20157481›Full record

ArticleDatabase : the journal of biological databases and curation2009

miRò: a miRNA knowledge base.

A Laganà, S Forte, A Giudice, M R Arena, P L Puglisi, R Giugno, A Pulvirenti, D Shasha, A Ferro

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Intestinal and Circulating MicroRNAs in Coeliac Disease.International journal of molecular sciences · 2017
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Improving biocuration of microRNAs in diseases: a case study in idiopathic pulmonary fibrosis.Database : the journal of biological databases and curation · 2017
    Article
  16. Article
  17. Urinary microRNAs as potential biomarkers of pesticide exposure.Toxicology and applied pharmacology · 2016
    Article
  18. miR-579-3p controls melanoma progression and resistance to target therapy.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. Article
  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.

A LaganàDepartment of Biomedical Sciences, University of Catania, Italy, 95124, Department of Mathematics and Computer Sciences, University of Catania, Catania, Italy, 95125 and Courant Institute of Mathematical Sciences, New York University, New York, USA, 10012-1185.
S Forte
A Giudice
M R Arena
P L Puglisi
R Giugno
A Pulvirenti
D Shasha
A Ferro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miRò is a web-based knowledge base that provides users with miRNA-phenotype associations in humans. It integrates data from various online sources, such as databases of miRNAs, ontologies, diseases and targets, into a unified database equipped with an intuitive and flexible query interface and data mining facilities. The main goal of miRò is the establishment of a knowledge base which allows non-trivial analysis through sophisticated mining techniques and the introduction of a new layer of associations between genes and phenotypes inferred based on miRNAs annotations. Furthermore, a specificity function applied to validated data highlights the most significant associations. The miRò web site is available at: http://ferrolab.dmi.unict.it/miro.Database URL:http://ferrolab.dmi.unict.it/miro.

Identifiers

PMID20157481
PMCPMC2794794

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Registered trials

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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.