Evidence map›Paper›PMID 23220349›Full record

ReviewBriefings in bioinformatics2014

Experimental evidence validating the computational inference of functional associations from gene fusion events: a critical survey.

Vasilis J Promponas, Christos A Ouzounis, Ioannis Iliopoulos

Abstract readReviewValidation Study
In one paragraph

Review in Briefings in bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Article
  4. Prediction and Ranking of Biomarkers UsingInternational journal of molecular sciences · 2022
    Article
  5. Article
  6. Article
  7. Developing computational biology at meridian 23° E, and a little eastwards.Journal of biological research (Thessalonike, Greece) · 2018
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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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

3 authors.

Vasilis J PromponasInstitute of Agrobiotechnology, Centre for Research & Technology Hellas (CERTH), 57001 Thessaloniki, Greece. ouzounis@certh.gr.
Christos A Ouzounis
Ioannis Iliopoulos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than a decade ago, a number of methods were proposed for the inference of protein interactions, using whole-genome information from gene clusters, gene fusions and phylogenetic profiles. This structural and evolutionary view of entire genomes has provided a valuable approach for the functional characterization of proteins, especially those without sequence similarity to proteins of known function. Furthermore, this view has raised the real possibility to detect functional associations of genes and their corresponding proteins for any entire genome sequence. Yet, despite these exciting developments, there have been relatively few cases of real use of these methods outside the computational biology field, as reflected from citation analysis. These methods have the potential to be used in high-throughput experimental settings in functional genomics and proteomics to validate results with very high accuracy and good coverage. In this critical survey, we provide a comprehensive overview of 30 most prominent examples of single pairwise protein interaction cases in small-scale studies, where protein interactions have either been detected by gene fusion or yielded additional, corroborating evidence from biochemical observations. Our conclusion is that with the derivation of a validated gold-standard corpus and better data integration with big experiments, gene fusion detection can truly become a valuable tool for large-scale experimental biology.

Indexed as

Gene FusionAnimalsComputational BiologyGenes, FungalGenome, HumanGenomicsHumansPhylogenyProtein Interaction MappingProteomicsSaccharomyces cerevisiaecomparative genomicsgene fusiongenome analysisprotein interactionsproteomicsvalidation study

Identifiers

PMID23220349
PMCPMC4017328

What OpenQuestion holds

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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.