Author

M. G. Klatt

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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Immunology· 4 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Organism:human· 4 Assay:proteomics· 4 Research Focus:cell type annotation· 3 Research Focus:host-pathogen & immune response· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

D. A. Scheinberg· 4 shared T. Dao· 3 shared C. A. Klebanoff· 2 shared R. S. Gejman· 2 shared S. S. Chandran· 2 shared A. Blum· 1 shared A. Daman· 1 shared A. Drilon· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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4 shared papersImmunology

D. A. Scheinberg

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Author profile →

5 papers

Recent·Most cited

The landscape of MHC-presented phosphopeptides yields actionable shared tumor antigens for cancer immunotherapy across multiple HLA alleles

Z. Molvi, M. G. Klatt, T. Dao, J. Urraca, D. A. Scheinberg, R. J. O'Reilly

This study identifies tumor-specific phosphopeptides presented by multiple HLA alleles, showing allele-specific immunogenicity differences for cancer immunotherapy.

Journal for ImmunoTherapy of Cancer · Sep 28, 2023Peer-reviewedImmunology

Identification of tumor-specific MHC ligands through improved biochemical isolation and incorporation of machine learning

S. Mecklenbräuker, P. Skoczylas, P. Biernat, B. Zaghla, B. Krol-Jozaga, M. Jasinski, V. Murcia Pienkowski, A. Sanecka-Duin, O. Popp, R. Szatanek, P. Mertins, J. Kaczmarczyk, A. Blum, M. G. Klatt

This paper improves the isolation of tumor-specific MHC ligands through hydrophobicity and post-translational modification considerations and introduces a machine learning model for predicting MHC ligand presentation.

bioRxiv · Jun 8, 2023 · PreprintImmunology

Unmasking the cryptic immunopeptidome of EZH2 mutated diffuse large B-cell lymphomas through combination drug treatment

C. M. Bourne, S. S. Mun, T. Dao, Z. E. H. Aretz, R. S. Gejman, A. Daman, K. Takata, C. Steidl, M. G. Klatt, D. A. Scheinberg

The paper identifies tumor-specific MHC ligands in EZH2-mutated DLBCLs by combining epigenetic drugs and interferon gamma, expanding the immunopeptidome for immunotherapy targets.

bioRxiv · Sep 1, 2021 · PreprintImmunology

Immunogenicity of a public neoantigen derived from mutated PIK3CA

S. S. Chandran, J. Ma, M. G. Klatt, F. Dundar, C. Bandlamudi, P. C. Razavi, H. Y. Wen, B. Weigelt, P. Zumbo, S. N. Fu, L. B. Banks, W. D. Bestman, A. Drilon, D. Betel, D. A. Scheinberg, , C. A. Klebanoff

The paper investigates the immunogenicity of a public neoantigen derived from mutated PIK3CA, showing it is recognized by T cells and presents a framework for immunotherapy.

bioRxiv · Apr 8, 2021 · PreprintImmunology

Identification of the targets of T cell receptor therapeutic agents and cells by use of a high throughput genetic platform

R. S. Gejman, H. F. Jones, M. G. Klatt, A. Y. Chang, C. Y. Oh, S. S. Chandran, T. Korontsvit, V. Zakahleva, T. Dao, C. A. Klebanoff, D. A. Scheinberg

This study introduces a high-throughput genetic platform to identify on- and off-targets of T cell receptor therapeutic agents using MHC-I ligands.

bioRxiv · Sep 1, 2019Cancer Biology