Evidence map›Paper›PMID 26267445›Full record

ArticlePloS one2015

Distilling a Visual Network of Retinitis Pigmentosa Gene-Protein Interactions to Uncover New Disease Candidates.

Daniel Boloc, Sergio Castillo-Lara, Gemma Marfany, Roser Gonzàlez-Duarte, Josep F Abril

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. RPGeNet v2.0: expanding the universe of retinal disease gene interactions network.Database : the journal of biological databases and curation · 2019
    Article
  3. 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

5 authors at 2 institutions in 1 country.

Daniel BolocDepartament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Sergio Castillo-LaraDepartament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Gemma MarfanyDepartament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Catalonia, Spain; CIBERER, Instituto de Salud Carlos III, Barcelona, Catalonia, Spain.
Roser Gonzàlez-DuarteDepartament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Catalonia, Spain; CIBERER, Instituto de Salud Carlos III, Barcelona, Catalonia, Spain.
Josep F AbrilDepartament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Catalonia, Spain.
Universitat de Barcelona · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRetinitis pigmentosa (RP) is a highly heterogeneous genetic visual disorder with more than 70 known causative genes, some of them shared with other non-syndromic retinal dystrophies (e.g. Leber congenital amaurosis, LCA). The identification of RP genes has increased steadily during the last decade, and the 30% of the cases that still remain unassigned will soon decrease after the advent of exome/genome sequencing. A considerable amount of genetic and functional data on single RD genes and mutations has been gathered, but a comprehensive view of the RP genes and their interacting partners is still very fragmentary. This is the main gap that needs to be filled in order to understand how mutations relate to progressive blinding disorders and devise effective therapies. METHODOLOGY: We have built an RP-specific network (RPGeNet) by merging data from different sources: high-throughput data from BioGRID and STRING databases, manually curated data for interactions retrieved from iHOP, as well as interactions filtered out by syntactical parsing from up-to-date abstracts and full-text papers related to the RP research field. The paths emerging when known RP genes were used as baits over the whole interactome have been analysed, and the minimal number of connections among the RP genes and their close neighbors were distilled in order to simplify the search space.

conclusionsIn contrast to the analysis of single isolated genes, finding the networks linking disease genes renders powerful etiopathological insights. We here provide an interactive interface, RPGeNet, for the molecular biologist to explore the network centered on the non-syndromic and syndromic RP and LCA causative genes. By integrating tissue-specific expression levels and phenotypic data on top of that network, a more comprehensive biological view will highlight key molecular players of retinal degeneration and unveil new RP disease candidates.

Indexed as

Gene Regulatory NetworksHumansModels, GeneticRetinitis Pigmentosa

Identifiers

PMID26267445
PMCPMC4534355
OpenAlexW1766979668

What OpenQuestion holds

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LicenceCC BY
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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.