Evidence map›Paper›PMID 42334026›Full record

ArticleFEBS open bio2026

MagmaFlow: A desktop platform for artificial intelligence-driven expression analysis.

Carlos E Buss, Ao Li, Eduardo H Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K Cardozo, Esteban N Gurzov

Abstract read
In one paragraph

Article in FEBS open bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carlos E BussSignal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Belgium.ORCID https://orcid.org/0000-0003-2495-3618
Ao LiSignal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Belgium.ORCID https://orcid.org/0009-0005-6842-2132
Eduardo H GilglioniSignal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Belgium.ORCID https://orcid.org/0000-0001-5137-4051
Mayank BansalSignal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Belgium.ORCID https://orcid.org/0000-0003-3681-093X
Sumeet Pal SinghRegenerative Biology Lab, Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire (IRIBHM), Université libre de Bruxelles, Belgium.ORCID https://orcid.org/0000-0002-5154-3318
Latifa BakiriDepartment of Laboratory Medicine, Medical University of Vienna, Austria.ORCID https://orcid.org/0000-0002-6300-2420
Alessandra K CardozoSignal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Belgium.ORCID https://orcid.org/0000-0001-7143-3696
Esteban N GurzovSignal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Belgium.ORCID https://orcid.org/0000-0003-4642-0273

Funding

China Scholarship CouncilEuropean Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme GA817940Fondation contre le cancer F/2022/1917Fonds De La Recherche Scientifique - FNRS 40007402Fonds De La Recherche Scientifique - FNRS 40018756Fonds De La Recherche Scientifique - FNRS 40025595Fonds Paul GénicotULB Foundation
6 · The paper itself

Abstract

While simplistic volcano plot visualizations of multi-omics changes can highlight the most critical genomic, transcriptomic, or proteomic features, integrative frameworks combining literature evidence, pathway associations, and functional annotation remain limited. We present MagmaFlow, a cross-platform application offering three key capabilities: literature-based gene scoring, interactive pathway-to-volcano mapping, and synchronized cross-view updates. The literature module retrieves gene associations from PubMed via PubTator3, provides direct PubMed identifier (PMID) links, and ranks genes by context-specific relevance. The pathway module visualizes enrichment as multi-layer circle plots displaying cross-pathway membership, automatically synchronized with volcano selections. Interactive features include smart label positioning, drag-and-drop annotation, double-click gene targeting, and customizable styles for publication-quality figures. Thus, MagmaFlow transforms volcano plot analysis from static display into dynamic biological interpretation. To our knowledge, this is the first tool integrating artificial intelligence-powered literature contextualization and enrichment analysis to convert differential expression data into actionable insights.

Indexed as

Alcohol‐associated liver diseaseArtificial intelligenceComputational biologyData visualizationVolcano plots

Identifiers

PMID42334026
PMCPMC13398583

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.