Author

Richard Danger

InsermORCID 0000-0002-5058-795XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Sophie BrouardiD· 3 shared Anaïs CardoniD· 2 shared A. DefoisiD· 1 shared Adrien Lannes· 1 shared Alessandra NervianiiD· 1 shared Amédée RenandiD· 1 shared Ansgar Wilhelm LohseiD· 1 shared Astrid Imbert· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersImmunology

Sophie BrouardORCID

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3 papers

Recent·Most cited

Molecular and spatial profiling identifies immune endotypes for the stratification of OA patients

Nicolas Gaigeard, Anaïs Cardon, Romain Guiho, Cankut Çubuk, Astrid Ouattara, Celia Lamothe, Jordan Brouard, Julien De Lima, Manzoor Ahmed, Mathilde Le Mercier, A. Defois, Lucie Danet, Jimmy Perrot, Nazim Benzerdjeb, Claire S. Vinatier, , Marie‐Astrid Boutet

The paper identifies immune endotypes in OA synovial tissue using integrated molecular and spatial profiling to guide precision medicine.

bioRxiv · Jan 12, 2026 · PreprintImmunology

The immune profile of circulating autoreactive CD4 T cells is imprinted through tissue activation during autoimmune liver diseases

Anaïs Cardon, Thomas Guinebretière, Chuang Dong, Laurine Gil, Sakina Ado, Pierre-Jean Gavlovsky, Martin Braud, Richard Danger, Christoph Schultheiß, Aurélie Doméné, Perrine Paul‐Gilloteaux, Caroline Chevalier, Laura Bernier, Jean‐Paul Judor, Cynthia Fourgeux, , Amédée Renand

This study identifies the transcriptional profile of circulating autoreactive CD4 T cells in autoimmune liver diseases and shows their functional relationship to liver-specific pathogenic clones.

Nature Communications · Jan 29, 2025Peer-reviewedImmunology

FaDA: A Shiny web application to accelerate common lab data analyses

Yodit Feseha, Quentin Moiteaux, Estelle Geffard, R. W. Gerard, Sophie Brouard, Richard Danger

FaDA is a web application that enables biologists to perform common lab data analyses with statistical tests and visualizations without bioinformatics expertise.

PLoS ONE · Dec 20, 2021Peer-reviewedBioinformatics