Tracking antigen-specific T cell response to cancer immunotherapy
Irina A ShaginaiD, Tatyana O NakonechnayaiD, Anna V. IzosimovaiD, Alexandra V. ShabalkinaiD, Diana Vladimirovna YuzhakovaiD, Valeriia D. SkatovaiD, Kseniia R. LupyriD, Ilnar MuftakhutdinoviD, Mark IzraelsoniD, Alexey N. DavydoviD, Daniil V. LuppoviD, Mikhail ShugayiD, Olga V. BritanovaiD, Dmitriy M. ChudakoviD, George Vladimirovich SharonoviD
Abstract
In each human or model animal, T cell receptor (TCR) of each effector/memory T cell clone recognizes from one to several cognate peptide-MHC complexes (pMHC). Limited knowledge on TCR repertoire specificities restricts our capacity to rationally interpret this information, both diagnostically and in preclinical research. Here we 1) develop cost-efficient wet lab and computational pipeline to identify mouse TCRs specific to particular peptides, 2) produce dataset of helper T cells (Th) TCR beta CDR3s specific to B16 melanoma neoantigens in the I-Ab pMHCII context, available in VDJdb, and 3) apply this dataset to track tumor-specific T cell response to the CTLA4 blocking immunotherapy on orthotopic B16 melanoma model. We show that tumor promotes clonally independent Tregs carrying tumor-specific TCRs characteristic for Th cells. We further show that CTLA4 blockade promotes Th clonal expansion and induces general, non-tumor-specific Th-to-Treg plasticity. Altogether, we provide a universal pipeline for the investigation of mouse T cell responses at the antigen-specific level, facilitating development and validation of immunotherapeutic and vaccination approaches.
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