Author

M. Arnaud

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Immunology· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:deep learning· 3 Assay:proteomics· 3 Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

A. Harari· 4 shared G. Coukos· 4 shared M. Bassani-Sternberg· 3 shared S. Bobisse· 3 shared A. Auger· 2 shared C. Chong· 2 shared C. Sauvage· 2 shared J. Chiffelle· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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4 shared papersCancer Biology

A. Harari

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Author profile →

4 papers

Recent·Most cited

Tumor-reactive clonotype dynamics underlying clinical response to TIL therapy in melanoma

J. Chiffelle, D. Barras, R. Petremand, A. Orcurto, S. Bobisse, M. Arnaud, A. Auger, B. Navarro Rodrigo, E. Ghisoni, C. Sauvage, D. Saugy, A. Michel, B. Murgues, N. Fahr, M. Imbimbo, , G. Coukos

This study tracks tumor-reactive TIL clonotypes in melanoma patients before and after TIL-ACT to identify factors associated with clinical response.

bioRxiv · Jul 21, 2023 · PreprintCancer Biology

TCRpcDist: Estimating TCR physico-chemical similarity to analyze repertoires and predict specificities

M. A. S. Perez Gomes, J. Chiffelle, S. Bobisse, F. Mayol-Rullan, M. Arnaud, C. Sauvage, G. Coukos, A. Harari, V. Zoete

TCRpcDist clusters TCR repertoires based on physico-chemical properties to predict antigen specificity and identify TCR groups likely to bind similar epitopes.

bioRxiv · Jun 15, 2023Immunology

Integrated Proteogenomic Deep Sequencing and Analytics Accurately Identify Non-Canonical Peptides in Tumor Immunopeptidomes

C. Chong, M. Muller, H. Pak, D. Harnett, F. Huber, D. Grun, M. Leleu, A. Auger, M. Arnaud, B. J. Stevenson, J. Michaux, I. Bilic, A. Hirsekorn, L. Calviello, L. Simo-Riudalbas, , M. Bassani-Sternberg

The paper develops an MS-based proteogenomic approach to identify non-canonical HLA peptides in tumors, finding hundreds of shared and tumor-specific peptides, including an immunogenic one from ABCB5.

bioRxiv · Sep 6, 2019Cancer Biology

Deep motif deconvolution of HLA-II peptidomes for robust class II epitope predictions

J. Racle, J. Michaux, G. A. Rockinger, M. Arnaud, S. Bobisse, C. Chong, P. Guillaume, G. Coukos, A. Harari, C. Jandus, M. Bassani-Sternberg, D. Gfeller

The paper improves HLA-II epitope prediction by combining mass spectrometry data with a new motif deconvolution algorithm, enhancing motif definition and prediction accuracy.

bioRxiv · Feb 3, 2019Immunology