Evidence map›Paper›PMID 30497361›Full record

ArticleBMC bioinformatics2018

miRTissue: a web application for the analysis of miRNA-target interactions in human tissues.

Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Alfonso Urso

Open access · goldAbstract read
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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. miRTissueBMC bioinformatics · 2020
    Article
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Antonino FiannacaCNR-ICAR, National Research Council of Italy, Via Ugo La Malfa, 153, Palermo, 90146, Italy. antonino.fiannaca@icar.cnr.it.
Massimo La RosaCNR-ICAR, National Research Council of Italy, Via Ugo La Malfa, 153, Palermo, 90146, Italy.
Laura La PagliaCNR-ICAR, National Research Council of Italy, Via Ugo La Malfa, 153, Palermo, 90146, Italy.
Alfonso UrsoCNR-ICAR, National Research Council of Italy, Via Ugo La Malfa, 153, Palermo, 90146, Italy.
National Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmicroRNAs act as regulators of gene expression interacting with their gene targets. Current bioinformatics services, such as databases of validated miRNA-target interactions and prediction tools, usually provide interactions without any information about what tissue that interaction is more likely to appear nor information about the type of interactions, causing mRNA degradation or translation inhibition respectively.

resultsIn this work, we introduce miRTissue, a web application that combines validated miRNA-target interactions with statistical correlation among expression profiles of miRNAs, genes and proteins in 15 different human tissues. Validated interactions are taken from the miRTarBase database, while expression profiles are downloaded from The Cancer Genome Atlas repository. As a result, the service provides a tissue-specific characterisation of each couple of miRNA and gene together with its statistical significance (p-value). The inclusion of protein data also allows providing the type of interaction. Moreover, miRTissue offers several views for analysing interactions, focusing for example on the comparison between different cancer types or different tissue conditions. All the results are freely downloadable in the most common formats.

conclusionsmiRTissue fills a gap concerning current bioinformatics services related to miRNA-target interactions because it provides a tissue-specific context to each validated interaction and the type of interaction itself. miRTissue is easily browsable allowing the user to select miRNAs, genes, cancer types and tissue conditions. The results can be sorted according to p-values to immediately identify those interactions that are more likely to occur in a given tissue. miRTissue is available at http://tblab.pa.icar.cnr.it/mirtissue.html.

Indexed as

InternetSoftwareBiomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasmsOrgan SpecificityProtein Interaction MapsBiomarkers, TumorMicroRNAsCancer typeHuman tissuemiRNA-target interactionProtein expression valueTCGA

Identifiers

PMID30497361
PMCPMC6266954
OpenAlexW2902823750

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.