Evidence map›Paper›PMID 25490918›Full record

ArticleThe Plant cell2014

Integrated network analysis identifies fight-club nodes as a class of hubs encompassing key putative switch genes that induce major transcriptome reprogramming during grapevine development.

Maria Concetta Palumbo, Sara Zenoni, Marianna Fasoli, Mélanie Massonnet, Lorenzo Farina, Filippo Castiglione, Mario Pezzotti, Paola Paci

Open access · hybridAbstract read
In one paragraph

Article in The Plant cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

83 citing papers in PubMed, 1 synthesis or guideline pooled it, 128 citations in OpenAlex.

  1. Pooled it
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  7. Grape ripening speed slowed down using natural variation.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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23 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Maria Concetta PalumboInstitute for Computing Applications "Mauro Picone," National Research Council, 00185 Rome, Italy.
Sara ZenoniDipartimento di Biotecnologie, Università degli Studi di Verona, 37134 Verona, Italy.
Marianna FasoliDipartimento di Biotecnologie, Università degli Studi di Verona, 37134 Verona, Italy.
Mélanie MassonnetDipartimento di Biotecnologie, Università degli Studi di Verona, 37134 Verona, Italy.
Lorenzo FarinaDepartment of Computer, Control, and Management Engineering, "Sapienza" University of Rome, 00185 Rome, Italy.
Filippo CastiglioneInstitute for Computing Applications "Mauro Picone," National Research Council, 00185 Rome, Italy.
Mario PezzottiDipartimento di Biotecnologie, Università degli Studi di Verona, 37134 Verona, Italy.
Paola PaciInstitute for Systems Analysis and Computer Science "Antonio Ruberti," National Research Council, 00185 Rome, Italy SysBio Centre for Systems Biology, 00185 Rome, Italy paola.paci@iasi.cnr.it.
University of Verona · ITNational Research Council · ITIstituto per le Applicazioni del Calcolo Mauro Picone · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed an approach that integrates different network-based methods to analyze the correlation network arising from large-scale gene expression data. By studying grapevine (Vitis vinifera) and tomato (Solanum lycopersicum) gene expression atlases and a grapevine berry transcriptomic data set during the transition from immature to mature growth, we identified a category named "fight-club hubs" characterized by a marked negative correlation with the expression profiles of neighboring genes in the network. A special subset named "switch genes" was identified, with the additional property of many significant negative correlations outside their own group in the network. Switch genes are involved in multiple processes and include transcription factors that may be considered master regulators of the previously reported transcriptome remodeling that marks the developmental shift from immature to mature growth. All switch genes, expressed at low levels in vegetative/green tissues, showed a significant increase in mature/woody organs, suggesting a potential regulatory role during the developmental transition. Finally, our analysis of tomato gene expression data sets showed that wild-type switch genes are downregulated in ripening-deficient mutants. The identification of known master regulators of tomato fruit maturation suggests our method is suitable for the detection of key regulators of organ development in different fleshy fruit crops.

Indexed as

Gene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGenes, SwitchFruitGene Expression ProfilingGenes, PlantGenome, PlantSolanum lycopersicumTranscriptomeVitis

Identifiers

PMID25490918
PMCPMC4311215
OpenAlexW2150462335

What OpenQuestion holds

Textmetadata
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.