Author

Justine Michaux

Centre Hospitalier Universitaire VaudoisORCID 0009-0006-3128-2436Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:proteomics· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Michal Bassani‐SternbergiD· 2 shared Alexandra Michel· 1 shared Alexandre HarariiD· 1 shared Anita Trapman-JanseniD· 1 shared Chen‐Yi LiaoiD· 1 shared Daphne RoelofsiD· 1 shared David GfelleriD· 1 shared Delphine Tardivon· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Michal Bassani‐SternbergORCID

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2 papers

Recent·Most cited

BioinformaticsScience AdvancesPeer-reviewedJun 11, 2025

Phage display enables machine learning discovery of cancer antigen specific TCRs

Giancarlo Croce, Rachid Lani, Delphine Tardivon…·David Gfeller

The paper uses phage display and machine learning to discover TCRs specific to cancer antigens, identifying functional TCRs from large repertoires.

22 citationstop 2%

humanproteomics

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ImmunologyCancer DiscoveryPeer-reviewedAug 21, 2024

TCR-engineered T-cells directed against Ropporin-1 constitute a safe and effective treatment for triple-negative breast cancer in near-clinical models

Dian Kortleve, Dora Hammerl, Mandy van Brakel…·Reno Debets

This study identifies ROPN1 as a target for TCR-engineered T-cells effective against TNBC in preclinical models and demonstrates their safety and efficacy.

16 citations

humanproteomics

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