Evidence map›Paper›PMID 25540777›Full record

ArticleFrontiers in bioengineering and biotechnology2014

Comprehensive reconstruction and visualization of non-coding regulatory networks in human.

Vincenzo Bonnici, Francesco Russo, Nicola Bombieri, Alfredo Pulvirenti, Rosalba Giugno

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2014. 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 26% 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, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Revealing protein-lncRNA interaction.Briefings in bioinformatics · 2016
    Review
  7. Article
  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

5 authors at 2 institutions in 2 countries.

Vincenzo BonniciDepartment of Computer Science, University of Verona , Verona , Italy.
Francesco RussoLaboratory of Integrative Systems Medicine (LISM), Institute of Informatics and Telematics (IIT) and Institute of Clinical Physiology (IFC), National Research Council (CNR) , Pisa , Italy ; Department of Computer Science, University of Pisa , Pisa , Italy.
Nicola BombieriDepartment of Computer Science, University of Verona , Verona , Italy.
Alfredo PulvirentiDepartment of Clinical and Experimental Medicine, University of Catania , Catania , Italy.
Rosalba GiugnoDepartment of Clinical and Experimental Medicine, University of Catania , Catania , Italy.
University of Verona · ITNational Academies of Sciences, Engineering, and Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research attention has been powered to understand the functional roles of non-coding RNAs (ncRNAs). Many studies have demonstrated their deregulation in cancer and other human disorders. ncRNAs are also present in extracellular human body fluids such as serum and plasma, giving them a great potential as non-invasive biomarkers. However, non-coding RNAs have been relatively recently discovered and a comprehensive database including all of them is still missing. Reconstructing and visualizing the network of ncRNAs interactions are important steps to understand their regulatory mechanism in complex systems. This work presents ncRNA-DB, a NoSQL database that integrates ncRNAs data interactions from a large number of well established on-line repositories. The interactions involve RNA, DNA, proteins, and diseases. ncRNA-DB is available at http://ncrnadb.scienze.univr.it/ncrnadb/. It is equipped with three interfaces: web based, command-line, and a Cytoscape app called ncINetView. By accessing only one resource, users can search for ncRNAs and their interactions, build a network annotated with all known ncRNAs and associated diseases, and use all visual and mining features available in Cytoscape.

Indexed as

cytoscapegene expressionlncRNAsmicroRNAsnetworksnon-coding RNAs

Identifiers

PMID25540777
PMCPMC4261811
OpenAlexW2027778541

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.