Gfeller, David

Intratumoral Tcf1+PD-1+CD8+ T Cells with Stem-like Properties Promote Tumor Control in Response to Vaccination and Checkpoint Blockade Immunotherapy

Siddiqui, I., Schaeuble, K., Chennupati, V., Fuertes Marraco, S. A., Calderon-Copete, S., Pais Ferreira, D., Carmona, S. J., Scarpellino, L., Gfeller, D., Pradervand, S., et al. (2019) · Immunity

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 1,679

Key parameters of tumor epitope immunogenicity revealed through a consortium approach improve neoantigen prediction

Wells, D. K., van Buuren, M. M., Dang, K. K., Hubbard-Lucey, V. M., Sheehan, K. C. F., Campbell, K. M., Lamb, A., Ward, J. P., Sidney, J., Blazquez, A. B., et al. (2020) · Cell

vaccines and immunoinformatics approachesCancer Immunotherapy and Biomarkers

Cited by 538

Mass Spectrometry Based Immunopeptidomics Leads to Robust Predictions of Phosphorylated HLA Class I Ligands

Solleder, M., Guillaume, P., Racle, J., Michaux, J., Pak, H.-S., Müller, M., Coukos, G., Bassani-Sternberg, M., & Gfeller, D. (2020) · Molecular & Cellular Proteomics

vaccines and immunoinformatics approachesChemical Synthesis and Analysis

Cited by 68

Phage display enables machine learning discovery of cancer antigen–specific TCRs

Croce, G., Lani, R., Tardivon, D., Bobisse, S., de Tiani, M., Bragina, M., Perez, M. A. S., Michaux, J., Pak, H. S., Michel, A., et al. (2025) · Science Advances

vaccines and immunoinformatics approachesT-cell and B-cell Immunology

Cited by 23