Evidence map›Paper›PMID 24870931›Full record

ArticleScientific reports2014

Parenclitic networks: uncovering new functions in biological data.

Massimiliano Zanin, Joaquín Medina Alcazar, Jesus Vicente Carbajosa, Marcela Gomez Paez, David Papo, Pedro Sousa, Ernestina Menasalvas, Stefano Boccaletti

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Article
  2. A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  3. Epigenetic networks coordinate DNA methylation across the genome.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  4. Article
  5. Article
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  7. Article
  8. Review
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  16. Article
  17. Functional brain networks: great expectations, hard times and the big leap forward.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    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

8 authors.

Massimiliano Zanin1] Faculdade de Ciências e Tecnologia, Departamento de Engenharia Electrotécnica, Universidade Nova de Lisboa, Lisboa, Portugal [2] Innaxis Foundation & Research Institute, José Ortega y Gasset 20, 28006, Madrid, Spain.
Joaquín Medina AlcazarCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Madrid, Spain.
Jesus Vicente CarbajosaCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Madrid, Spain.
Marcela Gomez PaezCentro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Madrid, Spain.
David PapoCenter for Biomedical Technology, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Madrid, Spain.
Pedro SousaFaculdade de Ciências e Tecnologia, Departamento de Engenharia Electrotécnica, Universidade Nova de Lisboa, Lisboa, Portugal.
Ernestina MenasalvasCenter for Biomedical Technology, Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Madrid, Spain.
Stefano BoccalettiCNR- Institute of Complex Systems, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a novel method to represent time independent, scalar data sets as complex networks. We apply our method to investigate gene expression in the response to osmotic stress of Arabidopsis thaliana. In the proposed network representation, the most important genes for the plant response turn out to be the nodes with highest centrality in appropriately reconstructed networks. We also performed a target experiment, in which the predicted genes were artificially induced one by one, and the growth of the corresponding phenotypes compared to that of the wild-type. The joint application of the network reconstruction method and of the in vivo experiments allowed identifying 15 previously unknown key genes, and provided models of their mutual relationships. This novel representation extends the use of graph theory to data sets hitherto considered outside of the realm of its application, vastly simplifying the characterization of their underlying structure.

Indexed as

Gene Regulatory NetworksOsmotic PressureArabidopsisGene Expression ProfilingGene Expression Regulation, PlantOligonucleotide Array Sequence Analysis

Identifiers

PMID24870931
PMCPMC4037713

What OpenQuestion holds

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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.