Kamilla Kjærgaard Munk

2024

IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition

Borch, A., Carri, I., Reynisson, B., Alvarez, H. M. G., Munk, K. K., Montemurro, A., Kristensen, N. P., Tvingsholm, S. A., Holm, J. S., Heeke, C., Moss, K. H., Hansen, U. K., Schaap-Johansen, A. L., Bagger, F. O., de Lima, V. A. B., Rohrberg, K. S., Funt, S. A., Donia, M., Svane, I. M. & Lassen, U. & 3 others, Barra, C., Nielsen, M. & Hadrup, S. R., 2024, In: Frontiers in Immunology. 15, 17 p., 1360281.

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2023

TCR-engaging scaffolds selectively expand antigen-specific T-cells with a favorable phenotype for adoptive cell therapy

Tvingsholm, S. A., Frej, M. S., Rafa, V. M., Hansen, U. K., Ormhøj, M., Tyron, A., Jensen, A. W. P., Kadivar, M., Bentzen, A. K., Munk, K. K., Aasbjerg, G. N., Ternander, J. S. H., Heeke, C., Tamhane, T., Schmess, C., Funt, S. A., Kjeldsen, J. W., Kverneland, A. H., Met, Ö. & Draghi, A. & 4 others, Jakobsen, S. N., Donia, M., Marie Svane, I. & Hadrup, S. R., 2023, In: Journal for ImmunoTherapy of Cancer. 11, 8, 16 p., e006847.

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Three doses of BNT162b2 COVID-19 mRNA vaccine establish long-lasting CD8⁺ T cell immunity in CLL and MDS patients

Hernandez, S. P. A., Hersby, D. S., Munk, K. K., Tamhane, T., Trubach, D., Tagliamonte, M., Buonaguro, L., Gang, A. O., Hadrup, S. R. & Saini, S. K., 2023, In: Frontiers in Immunology. 13, 13 p., 1035344.

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2022

Neoantigen-reactive CD8+ T cells affect clinical outcome of adoptive transfer with tumor-infiltrating lymphocytes in melanoma

Kristensen, N. P., Heeke, C., Tvingsholm, S. A., Borch, A., Draghi, A., Crowther, M. D., Carri, I., Munk, K. K., Holm, J. S., Bjerregaard, A.-M., Bentzen, A. K., Marquard, A. M., Szallasi, Z., McGranahan, N., Andersen, R., Nielsen, M., Jönsson, G. B., Donia, M., Svane, I. M. & Hadrup, S. R., 2022, In: Journal of Clinical Investigation. 132, 2, 16 p.

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Neoantigen-specific CD8 T cell responses in the peripheral blood following PD-L1 blockade might predict therapy outcome in metastatic urothelial carcinoma

Holm, J. S., Funt, S. A., Borch, A., Munk, K. K., Bjerregaard, A.-M., Reading, J. L., Maher, C., Regazzi, A., Wong, P., Al-Ahmadie, H., Iyer, G., Tamhane, T., Bentzen, A. K., Herschend, N. O., De Wolf, S., Snyder, A., Merghoub, T., Wolchok, J. D., Nielsen, M. & Rosenberg, J. E. & 2 others, Bajorin, D. F. & Hadrup, S. R., 2022, In: Nature Communications. 13, 17 p., 1935.

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T cell epitope mapping of hepatitis B virus in chronic infection

Viuff, M., Tuefferd, M., Heeke, C., Munk, K. K., Kadivar, M., Lauer, G., Bollekens, J. & Hadrup, S. R., 2022, In: Journal of Hepatology. 77, 1, p. S271-S272

Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

2021

Identification of viral epitopes recognized by CD8+T cells in different stages of hepatitis B infection

Viuff, M., Heeke, C., Munk, K., Kadivar, M., Lauer, G., Tuefferd, M. & Hadrup, S., 2021, In: Scandinavian Journal of Immunology. 94, 6

Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

Predicting TCR cross-reactivity using structural peptide-MHC models

Munk, K., Bentzen, A., Borch, A. & Hadrup, S., 2021, In: Scandinavian Journal of Immunology. 94, 6, 26.

Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

2019

Improved prediction methods for understanding the TCR-peptide-MHC interaction

Munk, K. K., 2019, DTU Health Technology. 117 p.

Research output: Book/Report › Ph.D. thesis

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NetSurfP-2.0: Improved prediction of protein structural features by integrated deep learning

Klausen, M. S., Jespersen, M. C., Nielsen, H., Jensen, K. K., Jurtz, V. I., Sønderby, C. K., Sommer, M. O. A., Winther, O., Nielsen, M., Petersen, B. & Marcatili, P., 2019, In: Proteins: Structure, Function, and Bioinformatics. 87, 6, p. 520-527 8 p.

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2018

Erratum to: Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis (Nature Genetics, (2018), 50, 8, (1072-1080), 10.1038/s41588-018-0157-1)

Waage, J., Standl, M., Curtin, J. A., Jessen, L. E., Thorsen, J., Tian, C., Schoettler, N., Flores, C., Abdellaoui, A., Ahluwalia, T. S., Alves, A. C., Amaral, A. F. S., Antó, J. M., Arnold, A., Barreto-Luis, A., Baurecht, H., van Beijsterveldt, C. E. M., Bleecker, E. R., Bonàs-Guarch, S. & Boomsma, D. I. & 32 others, Brix, S., Bunyavanich, S., Burchard, E. G., Chen, Z., Curjuric, I., Custovic, A., den Dekker, H. T., Dharmage, S. C., Dmitrieva, J., Duijts, L., Ege, M. J., Gauderman, W. J., Georges, M., Gieger, C., Gilliland, F., Granell, R., Gui, H., Hansen, T., Heinrich, J., Henderson, J., Hernandez-Pacheco, N., Holt, P., Imboden, M., Jaddoe, V. W. V., Jarvelin, M. R., Jarvis, D. L., Jensen, K. K., Jónsdóttir, I., Kabesch, M., Bisgaard, H., The 23andMe Research Team & AAGC collaborators, 1 Sept 2018, In: Nature Genetics. 50, 9, p. 1343 1 p.

Research output: Contribution to journal › Comment/debate › Research › peer-review

Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis

Waage, J., Standl, M., Curtin, J. A., Jessen, L. E., Thorsen, J., Tian, C., Schoettler, N., Flores, C., Abdellaoui, A., Ahluwalia, T. S., Alves, A. C., Amaral, A. F. S., Antó, J. M., Arnold, A., Barreto-Luis, A., Baurecht, H., van Beijsterveldt, C. E. M., Bleecker, E. R., Bonàs-Guarch, S. & Boomsma, D. I. & 32 others, Brix, S., Bunyavanich, S., Burchard, E. G., Chen, Z., Curjuric, I., Custovic, A., Den Dekker, H. T., Dharmage, S. C., Dmitrieva, J., Duijts, L., Ege, M. J., Gauderman, W. J., Georges, M., Gieger, C., Gilliland, F., Granell, R., Gui, H., Hansen, T., Heinrich, J., Henderson, J., Hernandez-Pacheco, N., Holt, P., Imboden, M., Jaddoe, V. W. V., Jarvelin, M. R., Jarvis, D. L., Jensen, K. K., Jónsdóttir, I., Kabesch, M., Kaprio, J., The 23andMe Research Team & AAGC collaborators, 2018, In: Nature Genetics. 50, 8, p. 1072-1080 9 p.

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Improved methods for predicting peptide binding affinity to MHC class II molecules

Jensen, K. K., Andreatta, M., Marcatili, P., Buus, S., Greenbaum, J. A., Yan, Z., Sette, A., Peters, B. & Nielsen, M., 2018, In: Immunology. 154, 3, p. 394-406

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T cell receptor fingerprinting enables in-depth characterization of the interactions governing recognition of peptide-MHC complexes

Bentzen, A. K., Such, L., Jensen, K. K., Marquard, A. M., Jessen, L. E., Miller, N. J., Church, C. D., Lyngaa, R. B., Koelle, D. M., Becker, J. C., Linnemann, C., Schumacher, T. N. M., Marcatili, P., Nghiem, P., Nielsen, M. & Hadrup, S. R., 2018, In: Nature Biotechnology. 36, 12, p. 1191-1196

Research output: Contribution to journal › Letter › peer-review

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2016

Automated Clustering Analysis of Immunoglobulin Sequences in Chronic Lymphocytic Leukemia Based on 3D Structural Descriptors

Marcatili, P., Mochament, K., Agathangelidis, A., Moschonas, P., Sutton, L.-A., Yan, X.-J., Bikos, V., Vardi, A., Chailyan, A., Stavroyianni, N., Jensen, K. K., Anagnostopoulos, A., Chiorazzi, N., Belessi, C., Rosenquist, R., Ghia, P., Stamatopoulos, K., Hadzidimitriou, A. & Tzovaras, D., 2016, In: Blood. 128, 22, p. 4365 1 p.

Research output: Contribution to journal › Journal article › Research › peer-review

Kamilla Kjærgaard Munk

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