Evidence map›Paper›PMID 40089834›Full record

ArticleThe Plant journal : for cell and molecular biology2025

DiatOmicBase: a versatile gene-centered platform for mining functional omics data in diatom research.

Emilie Villar, Nathanaël Zweig, Pierre Vincens, Helena Cruz de Carvalho, Carole Duchene, Shun Liu, Raphael Monteil, Richard G Dorrell, Michele Fabris, Klaas Vandepoele and 2 more

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. An acetyltransferase family required for biosynthesis of diverse marine carotenoids.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Special Issue "Microalgal Molecules and Enzymes 2.0".International journal of molecular sciences · 2026
    Article
  6. Review
  7. Harnessing microalgae for bioproducts: innovations in synthetic biology.World journal of microbiology & biotechnology · 2025
    Review
  8. Article
  9. 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

12 authors.

Emilie VillarInstitut de Biologie de l'École Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, 75005, France.ORCID 0000-0002-6075-8003
Nathanaël ZweigInstitut de Biologie de l'École Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, 75005, France.
Pierre VincensInstitut de Biologie de l'École Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, 75005, France.
Helena Cruz de CarvalhoInstitut de Biologie de l'École Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, 75005, France.
Carole DucheneInstitut de Biologie Physico-Chimique, Laboratoire de Photobiologie et Physiologie des Plastes et des Microalgues, UMR7141 Centre National de la Recherche Scientifique (CNRS), Sorbonne Université, Paris, 75005, France.
Shun LiuInstitut de Biologie de l'École Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, 75005, France.
Raphael MonteilInstitut de Biologie Physico-Chimique, Laboratoire de Photobiologie et Physiologie des Plastes et des Microalgues, UMR7141 Centre National de la Recherche Scientifique (CNRS), Sorbonne Université, Paris, 75005, France.
Richard G DorrellCNRS, IBPS, CQSB- Department of Computational, Quantitative and Synthetic Biology, UMR7238, Sorbonne Université, 4 place Jussieu, Paris, 75005, France.
Michele FabrisSDU Biotechnology, Department of Green Technology, University of Southern Denmark, Campusvej 55, Odense M, 5230, Denmark.ORCID 0000-0003-2910-2089
Klaas VandepoeleDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, Ghent, 9052, Belgium.ORCID 0000-0003-4790-2725
Chris BowlerInstitut de Biologie de l'École Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, 75005, France.
Angela FalciatoreInstitut de Biologie Physico-Chimique, Laboratoire de Photobiologie et Physiologie des Plastes et des Microalgues, UMR7141 Centre National de la Recherche Scientifique (CNRS), Sorbonne Université, Paris, 75005, France.

Funding

Agence Nationale de la Recherche ANR-10-INBS-02Agence Nationale de la Recherche ANR-10-LABX-54Agence Nationale de la Recherche ANR-11-IDEX-0001-02Agence Nationale de la Recherche ANR-11-LABX-0011-01Agence Nationale de la Recherche ANR-19-CE20-0020Agence Nationale de la Recherche ANR 19-CE43-0011-01European Research Council 101039760Fondation Bettencourt SchuellerFonds Wetenschappelijk Onderzoek 01G01323Fonds Wetenschappelijk Onderzoek 01G01715Fonds Wetenschappelijk Onderzoek I002819NGordon and Betty Moore Foundation GBMF8752H2020 European Research Council 835067Horizon Europe BlueRemediomics 101082304Villum Fonden 37521
6 · The paper itself

Abstract

Diatoms are prominent microalgae found in all aquatic environments. Over the last 20 years, thanks to the availability of genomic and genetic resources, diatom species such as Phaeodactylum tricornutum and Thalassiosira pseudonana have emerged as valuable experimental model systems for exploring topics ranging from evolution to cell biology, (eco)physiology, and biotechnology. Since the first genome sequencing projects initiated more than 20 years ago, numerous genome-enabled datasets have been generated, based on RNA-Seq and proteomics experiments, epigenomes, and ecotype variant analysis. Unfortunately, these resources, generated by various laboratories, are often in disparate formats and challenging to access and analyze. Here we present DiatOmicBase, a genome portal gathering comprehensive omics resources from P. tricornutum and T. pseudonana to facilitate the exploration of dispersed public datasets and the design of new experiments based on the prior-art. DiatOmicBase provides gene annotations, transcriptomic profiles and a genome browser with ecotype variants, histone and methylation marks, transposable elements, non-coding RNAs, and read densities from RNA-Seq experiments. We developed a semi-automatically updated transcriptomic module to explore both publicly available RNA-Seq experiments and users' private datasets. Using gene-level expression data, users can perform exploratory data analysis, differential expression, pathway analysis, biclustering, and co-expression network analysis. Users can create heatmaps to visualize pre-computed comparisons for selected gene subsets. Automatic access to other bioinformatic resources and tools for diatom comparative and functional genomics is also provided. Focusing on the resources currently centralized for P. tricornutum, we showcase several examples of how DiatOmicBase strengthens molecular research on diatoms, making these organisms accessible to a broad research community.

Indexed as

Databases, GeneticData MiningDiatomsGenomeGenomicsMolecular Sequence AnnotationTranscriptomediatomsecotype variantsgene modelsgenome browsergenome portalhistone marksnon‐coding RNAsPhaeodactylum tricornutumprotein domainsRNA‐Seq datasetsThalassiosira pseudonana

Identifiers

PMID40089834
PMCPMC11910669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.