Author

Dominique Sanglard

Centre Hospitalier Universitaire VaudoisORCID 0000-0002-5244-4178Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:yeast· 2 Organism:C. elegans· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Van Du T. TraniD· 3 shared Alix T. CosteiD· 1 shared Christophe d’EnfertiD· 1 shared Corinne MaufraisiD· 1 shared Emmanuel Beaudoing· 1 shared Luís A. Vale-SilvaiD· 1 shared Marco PagniiD· 1 shared Ricardo Fróis-MartinsiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersMicrobiology

Van Du T. TranORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genome-guided manipulation of regulators of morphogenesis in a C. albicans strain with low virulence is not sufficient to trigger a high-virulence phenotype

Ricardo Fróis-Martins, Sarah Mertens, Van Du T. Tran, Corinne Maufrais, Christophe d’Enfert, Dominique Sanglard, Salomé LeibundGut‐Landmann

This study shows that altering BRG1 and CYR1 in a low-virulence C. albicans strain does not increase its virulence in vivo, suggesting complex gene networks regulate fungal pathogenicity.

bioRxiv · Jul 16, 2025 · PreprintMicrobiology

Condition-specific series of metabolic sub-networks and its application for gene set enrichment analysis

Van Du T. Tran, Sébastien Moretti, Alix T. Coste, Sara Amorim-Vaz, Dominique Sanglard, Marco Pagni

The paper introduces metaboGSE, a method for gene set enrichment analysis using condition-specific metabolic sub-networks, showing higher specificity than GSEA and topGO.

Bioinformatics · Nov 15, 2018Peer-reviewedSystems Biology

Comparative Genomics Of Two Sequential Candida glabrata Clinical Isolates

Luís A. Vale-Silva, Emmanuel Beaudoing, Van Du T. Tran, Dominique Sanglard

This study compares the genomes of two sequential C. glabrata clinical isolates to identify mutations associated with azole resistance and host adaptation.

G3 Genes Genomes Genetics · Jun 29, 2017Peer-reviewedGenomics