Evidence map›Paper›PMID 40149410›Full record

ArticleGenes2025

ACT2.6: Global Gene Coexpression Network in

Vasileios L Zogopoulos, Konstantinos Papadopoulos, Apostolos Malatras, Vassiliki A Iconomidou, Ioannis Michalopoulos

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Vasileios L ZogopoulosCenter of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece.ORCID 0000-0002-4646-5570
Konstantinos PapadopoulosCenter of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece.
Apostolos MalatrasMolecular Medicine Research Center, biobank.cy, Center of Excellence in Biobanking and Biomedical Research, University of Cyprus, 2109 Nicosia, Cyprus.ORCID 0000-0003-1380-5521
Vassiliki A IconomidouSection of Cell Biology and Biophysics, Department of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece.ORCID 0000-0002-9472-5146
Ioannis MichalopoulosCenter of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece.ORCID 0000-0001-8991-8712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesGenes with similar expression patterns across multiple samples are considered coexpressed, and they may participate in similar biological processes or pathways. Gene coexpression networks depict the degree of similarity between the expression profiles of all genes in a set of samples. Gene coexpression tools allow for the prediction of functional gene partners or the assignment of roles to genes of unknown function. Weighted Gene Correlation Network Analysis (WGCNA) is an R package that provides a multitude of functions for constructing and analyzing a weighted or unweighted gene coexpression network.

methodsPreviously preprocessed, high-quality gene expression data of 3500 samples of Affymetrix microarray technology from various tissues of the

resultsThe gene dendrogram was used as the basis for the creation of a new DISCUSSION: Genes known to be involved in common metabolic pathways were discovered in the same module. By comparing the current ACT version with the previous one, it was shown that the new version outperforms the old one in discovering the functional connections between gene partners. ACT2.6 is a major upgrade over the previous version and a significant addition to the collection of public gene coexpression tools.

Indexed as

ArabidopsisGene Expression Regulation, PlantGene Regulatory NetworksSoftwareArabidopsis ProteinsGene Expression ProfilingArabidopsis ProteinsArabidopsis thalianagene coexpression networksmicroarrayswebtoolWGCNA

Identifiers

PMID40149410
PMCPMC11942487

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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.