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  • The American Association of Immunologists  (2)
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  • The American Association of Immunologists  (2)
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  • 1
    Online Resource
    Online Resource
    The American Association of Immunologists ; 2020
    In:  The Journal of Immunology Vol. 204, No. 1_Supplement ( 2020-05-01), p. 165.37-165.37
    In: The Journal of Immunology, The American Association of Immunologists, Vol. 204, No. 1_Supplement ( 2020-05-01), p. 165.37-165.37
    Abstract: Recent advances in checkpoint blockade immunotherapy (CBI) have revolutionized cancer treatment, but the limited response rates in most cancers suggest that new approaches and targets are clearly needed to fully elucidate the underlying biology of dysfunctional CD8 T cells and achieve durable responses. G-protein coupled receptors (GPCRs) are the most intensively studied drug targets as they play key roles in many physiological processes, and they have remained longstanding favorable pharmacological targets. Using novel computational approaches integrating multiple single cell RNAseq databases, we first deconvoluted tumor-infiltrating T cell heterogeneity to generate a transcriptomic GPCR signature based on coupling specificity and receptor family. Preliminary data shows an upregulation of prostaglandin receptors, PTGER2 and PTGER4, on exhausted T cells, suggesting that these GPCRs, coupled to the Gαs G protein α subunit, may contribute to diminishing anti-tumor cytotoxicity. Expression and stimulation of EP2 and EP4 on highly activated CD8 T cells and subsequent Gαs signaling decreases cytokine secretion and CXCR3-mediated migration. Additionally, blockade of EP2 and EP4 significantly decreases tumor growth in multiple immune competent, syngeneic tumor models. Altogether, we hypothesize that activation of Gαs downstream signaling cascades may be dampening the anti-tumor cytotoxicity of CD8 T cells, thereby limiting the effectiveness of PD-1 and CTLA-4 blockade. EP2 and EP4 and Gαs signaling may represent promising candidates as immune checkpoints that can be targeted in combination with CBI as part of novel multimodality precision immunotherapy approaches to reactivate the immune system to destroy tumors.
    Type of Medium: Online Resource
    ISSN: 0022-1767 , 1550-6606
    RVK:
    RVK:
    Language: English
    Publisher: The American Association of Immunologists
    Publication Date: 2020
    detail.hit.zdb_id: 1475085-5
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    The American Association of Immunologists ; 2012
    In:  The Journal of Immunology Vol. 188, No. 1_Supplement ( 2012-05-01), p. 58.13-58.13
    In: The Journal of Immunology, The American Association of Immunologists, Vol. 188, No. 1_Supplement ( 2012-05-01), p. 58.13-58.13
    Abstract: Characterizing the phenotypic heterogeneity in memory T cells generated following antigen encounter is a major challenge in immunology. Tools such as CyTOF flow cytometry or gene expression profiling of T cells can capture increasingly large numbers of parameters. However analysis of high dimensional data with standard techniques such as principal component analysis or hierarchical clustering often fails to capture the biological basis for observed phenotypic heterogeneity. We address this problem by applying a metagene projection strategy based on independent component analysis and consensus non-negative matrix factorization clustering. This approach assumes that the gene expression profile of a population of CD8+ T cells is generated by groups of genes that are representative of different biological processes, and deconvolves the data into individual components (or metagenes) that together comprise some or all of the overall “signal” in the data-space. The metagene projection strategy is able to provide a robust low dimensional description of transcriptional (or other complex) data based on groups of genes that represent known and novel biological mechanisms. It is also able to provide sensitive clustering and classification solutions. We illustrate the ability of this metagene projection strategy to capture novel molecular patterns in T cell differentiation states common to antigen-specific CD8+ T cells responses to HIV, HCV and metastatic melanoma.
    Type of Medium: Online Resource
    ISSN: 0022-1767 , 1550-6606
    RVK:
    RVK:
    Language: English
    Publisher: The American Association of Immunologists
    Publication Date: 2012
    detail.hit.zdb_id: 1475085-5
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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