There is growing evidence that the clustering and spatial pattern of T cell receptors is critical for T cell responses. Changes in clustering and pattern can alter cell responsiveness from low to high, or even to unresponsive.
We aim to investigate the genetics and the biophysics of T cell receptor clustering and pattern. Genetic screens will be used to identify pathways that are important for the enhanced clustering of T cell receptors found on activated T cells. We will use an shRNA screen to focus on pathways known to affect T cell receptor clustering -glycosylation and the role of cholesterol and its interaction with the cytoskeleton. Second we will analyze the impact of genes identified in the screen in binding of a TCR ligand, soluble peptide-MHC-lg complexes to T cells and in vitro and in vivo T cell responses. In addition we will engineer quantum dots that will present TCR ligands, MHC/peptide or anti-CD3 to naive and activated T cells. The quantum dots will be used to probe the lateral organization of TCR on naive and activated T cells. Blinking of bound quantum dots will be analyzed quantitatively to follow changes in receptor organization with time. Synergies with other projects:
A specific aim of Project 2, is to analyze the TCR organization and SMAC formation in activated CD4 cells. Project 1's work on the genetic control of TCR clustering will be directly relevant to that project. Also, the nanoprobes and methods for characterizing TCR organization of this project will be used to probe the nano-organization of TCR on naive or activated CD4+ cells. In Project 3 quantum dots will be used to characterize changes in TCR clustering during induction of anergy in vivo. Quantum dots and genetic manipulation will also be used in collaboration with Dr. Desiderio Project 4 to characterize T cell receptor states in cells an clones lacking TFII-I or carrying a mutated form of the protein. There has already been strong interaction with Project 5 in designing selection/screening assays for genetic control of TCR clustering. In addition using the techniques developed in Specific Aim 1 we will analyze the effects of the genes identified in Project 5 on TCR clustering. Many immune responses, for example responses to parasites, to tumors and to some viruses, are often blunted because T cells respond to antigen by turning off, rather than by activating and attacking their targets. Understanding the arrangement of T cell antigen receptors that is most likely to trigger T cells, will lead to development of methods to manipulate the T cell surface to produce a strong, focused response, or, to suppress response, rearranging the receptors to limit autoimmune responses.
| Schappert, Anna; Schneck, Jonathan P; Suarez, Lauren et al. (2018) Soluble MHC class I complexes for targeted immunotherapy. Life Sci 209:255-258 |
| Hickey, John W; Isser, Ariel Y; Vicente, Fernando P et al. (2018) Efficient magnetic enrichment of antigen-specific T cells by engineering particle properties. Biomaterials 187:105-116 |
| Bettencourt, Ian A; Powell, Jonathan D (2017) Targeting Metabolism as a Novel Therapeutic Approach to Autoimmunity, Inflammation, and Transplantation. J Immunol 198:999-1005 |
| Kosmides, A K; Meyer, R A; Hickey, J W et al. (2017) Biomimetic biodegradable artificial antigen presenting cells synergize with PD-1 blockade to treat melanoma. Biomaterials 118:16-26 |
| Tiper, Irina V; Temkin, Sarah M; Spiegel, Sarah et al. (2016) VEGF Potentiates GD3-Mediated Immunosuppression by Human Ovarian Cancer Cells. Clin Cancer Res 22:4249-58 |
| Pollizzi, Kristen N; Sun, Im-Hong; Patel, Chirag H et al. (2016) Asymmetric inheritance of mTORC1 kinase activity during division dictates CD8(+) T cell differentiation. Nat Immunol 17:704-11 |
| Schütz, Christian; Varela, Juan Carlos; Perica, Karlo et al. (2016) Antigen-specific T cell Redirectors: a nanoparticle based approach for redirecting T cells. Oncotarget 7:68503-68512 |
| Pollizzi, Kristen N; Patel, Chirag H; Sun, Im-Hong et al. (2015) mTORC1 and mTORC2 selectively regulate CD8? T cell differentiation. J Clin Invest 125:2090-108 |
| Perica, Karlo; Kosmides, Alyssa K; Schneck, Jonathan P (2015) Linking form to function: Biophysical aspects of artificial antigen presenting cell design. Biochim Biophys Acta 1853:781-90 |
| Bruns, Heiko; Bessell, Catherine; Varela, Juan Carlos et al. (2015) CD47 Enhances In Vivo Functionality of Artificial Antigen-Presenting Cells. Clin Cancer Res 21:2075-83 |
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