Literature DB >> 34433672

PD-1 preferentially inhibits the activation of low-affinity T cells.

Kenji Shimizu1, Daisuke Sugiura1, Il-Mi Okazaki1, Takumi Maruhashi1, Tatsuya Takemoto2, Taku Okazaki3.   

Abstract

Anti-PD-1 therapies can activate tumor-specific T cells to destroy tumors. However, whether and how T cells with different antigen specificity and affinity are differentially regulated by PD-1 remain vaguely understood. Upon antigen stimulation, a variety of genes is induced in T cells. Recently, we found that T cell receptor (TCR) signal strength required for the induction of genes varies across different genes and PD-1 preferentially inhibits the induction of genes that require stronger TCR signal. As each T cell has its own response characteristics, inducibility of genes likely differs across different T cells. Accordingly, the inhibitory effects of PD-1 are also expected to differ across different T cells. In the current study, we investigated whether and how factors that modulate T cell responsiveness to antigenic stimuli influence PD-1 function. By analyzing TCRs with different affinities to peptide-MHC complexes (pMHC) and pMHCs with different affinities to TCR, we demonstrated that PD-1 inhibits the expression of TCR-inducible genes efficiently when TCR:pMHC affinity is low. In contrast, affinities of peptides to MHC and MHC expression levels did not affect PD-1 sensitivity of TCR-inducible genes although they markedly altered the dose responsiveness of T cells by changing the efficiency of pMHC formation, suggesting that the strength of individual TCR signal is the key determinant of PD-1 sensitivity. Accordingly, we observed a preferential expansion of T cells with low-affinity to tumor-antigen in PD-1-deficient mice upon inoculation of tumor cells. These results demonstrate that PD-1 imposes qualitative control of T cell responses by preferentially suppressing low-affinity T cells.

Entities:  

Keywords:  EC50; PD-1; T cell activation; affinity; coreceptor

Mesh:

Substances:

Year:  2021        PMID: 34433672      PMCID: PMC8536324          DOI: 10.1073/pnas.2107141118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  59 in total

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Journal:  Nature       Date:  2006-11-01       Impact factor: 49.962

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Authors:  Fang Zhou
Journal:  Int Rev Immunol       Date:  2009       Impact factor: 5.311

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Authors:  Alok V Joglekar; Guideng Li
Journal:  Nat Methods       Date:  2020-07-06       Impact factor: 28.547

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Authors:  Fang Wei; Shi Zhong; Zhengyu Ma; Hong Kong; Andrew Medvec; Rafi Ahmed; Gordon J Freeman; Michelle Krogsgaard; James L Riley
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-22       Impact factor: 11.205

Review 7.  Cancer immunotherapy using checkpoint blockade.

Authors:  Antoni Ribas; Jedd D Wolchok
Journal:  Science       Date:  2018-03-22       Impact factor: 47.728

8.  Retrogenic modeling of experimental allergic encephalomyelitis associates T cell frequency but not TCR functional affinity with pathogenicity.

Authors:  Rajshekhar Alli; Phuong Nguyen; Terrence L Geiger
Journal:  J Immunol       Date:  2008-07-01       Impact factor: 5.422

9.  Programmed cell death 1 forms negative costimulatory microclusters that directly inhibit T cell receptor signaling by recruiting phosphatase SHP2.

Authors:  Tadashi Yokosuka; Masako Takamatsu; Wakana Kobayashi-Imanishi; Akiko Hashimoto-Tane; Miyuki Azuma; Takashi Saito
Journal:  J Exp Med       Date:  2012-05-28       Impact factor: 14.307

10.  Electroporation enables the efficient mRNA delivery into the mouse zygotes and facilitates CRISPR/Cas9-based genome editing.

Authors:  Masakazu Hashimoto; Tatsuya Takemoto
Journal:  Sci Rep       Date:  2015-06-11       Impact factor: 4.379

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