The goal of adoptive T cell therapy in cancer is to provide effective antitumor immunity by transfer of selected populations of tumor Ag-specific T cells. Transfer of T cells with high TCR avidity is critical for in vivo efficacy. In this study, we demonstrate that fluorescent peptide/MHC class I multimeric complexes incorporating mutations in the alpha3 domain (D227K/T228A) that abrogate binding to the CD8 coreceptor can be used to selectively isolate tumor Ag-specific T cells of high functional avidity from both in vitro expanded and ex vivo T cell populations. Sorting, cloning, and expansion of alpha3 domain mutant multimer-positive CD8 T cells enabled rapid selection of high avidity tumor-reactive T cell clones. Our results are relevant for ex vivo identification and isolation of T cells with potent antitumor activity for adoptive T cell therapy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.4049/jimmunol.171.4.1844 | DOI Listing |
Immunogenetics
January 2025
Theoretical Biology and Bioinformatics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands.
T cells recognize peptides displayed on the surface of cells on MHC molecules. Genetic variation in MHC genes alters their peptide-binding repertoire and thus influences the potential immune response generated against pathogens. Both gorillas and chimpanzees show reduced diversity at their MHC class I A (MHC-A) locus compared to humans, which has been suggested to be the result of a pathogen-mediated selective sweep.
View Article and Find Full Text PDFNat Commun
December 2024
Oncology Bioinformatics, Genentech, South San Francisco, CA, USA.
Based on the success of cancer immunotherapy, personalized cancer vaccines have emerged as a leading oncology treatment. Antigen presentation on MHC class I (MHC-I) is crucial for the adaptive immune response to cancer cells, necessitating highly predictive computational methods to model this phenomenon. Here, we introduce HLApollo, a transformer-based model for peptide-MHC-I (pMHC-I) presentation prediction, leveraging the language of peptides, MHC, and source proteins.
View Article and Find Full Text PDFStructure
December 2024
Division of Theoretical Systems Biology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany. Electronic address:
Major histocompatibility complex class II (MHC-II) presents antigens to T helper cells. The spectrum of presented peptides is regulated by the exchange catalyst human leukocyte antigen DM (HLA-DM), which dissociates peptide-MHC-II complexes in the endosome. How susceptible a peptide is to HLA-DM is mechanistically not understood.
View Article and Find Full Text PDFCancer Res
January 2025
Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California.
Antibody-based therapies have emerged as a powerful strategy for the management of diverse cancers. Unfortunately, tumor-specific antigens remain challenging to identify and target. Recent work established that inhibitor-modified peptide adducts derived from KRAS G12C are competent for antigen presentation via MHC I and can be targeted by antibody-based therapeutics, offering a means to directly target an intracellular oncoprotein at the cell surface with combination therapies.
View Article and Find Full Text PDFbioRxiv
November 2024
Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
Class I MHC molecules present peptides derived from intracellular antigens on the cell surface for immune surveillance, and specific targeting of these peptide-MHC (pMHC) complexes could have considerable utility for treating diseases. Such targeting is challenging as it requires readout of the few outward facing peptide antigen residues and the avoidance of extensive contacts with the MHC carrier which is present on almost all cells. Here we describe the use of deep learning-based protein design tools to design small proteins that arc above the peptide binding groove of pMHC complexes and make extensive contacts with the peptide.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!