This research program was historically focused on biology and function of MHC class I proteins in antigen presentation during infection and in tissue transplantation. Recently, our interest in the network of receptor-mediated responses provided for a renewed focus on immunology of tuberculosis. This approach is supported by the technological advances, which enable identification of single cell immunity functional signatures based on simultaneous detection of protein and RNA markers.
Stimulation of T cells with specific functions (effector, memory or regulatory) through T cell receptor (TCR) interactions initiates a signaling cascade that alters gene expression in responding cells. These changes can be detected by measuring expression of RNA molecules using single molecule fluorescence in situ hybridization (smFISH) and flow cytometry. The FISH-Flow detection platform can identify key markers of T cell activation defined as such due to their characteristic expression in functional signatures of T cells associated with evolution of an infection and disease. Tuberculosis (TB) is a complex disease with remarkable plasticity. The progression of infection is generally moving from preclinical to active disease or to latent TB. Reactivation of latent TB to a preclinical stage and then active disease is also common due to the changes in the immune system status (cancer, HIV co-infection). The functions of most cell populations are defined by the expression of key markers, i.e., pro-inflammatory or suppressive cytokines. Thus, distinct proportions of T cell subsets expressing different biomarkers can, in principle, serve as indicators of TB infection stages.
However, the function-reporting RNA signatures appear to be complex and incorporate a variety of cellular biomarkers in addition to cytokines. Advances in the field of immunometabolism indicate that a switch in bioenergetics strategy of immune cells from oxidative phosphorylation to aerobic glycolysis (Warburg effect) is a critical metabolic requirement for effective pro-inflammatory and anti-microbial responses. The switch leads to certain changes in the gene expression profile. Therefore, many types of immune cells, not just T cells, are likely to have metabolic signatures associated with the status of immune response. Such immunometabolic signatures could be detected by FISH-Flow at different TB infection stages.
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Kumar R, Singh P, Kolloli A, Shi L, Bushkin Y, Tyagi S, Subbian S (2019) Immunometabolism of Phagocytes During Mycobacterium tuberculosis Infection. Front Mol Biosci 6: 105. PMI: 31681793
Marras SAE, Bushkin Y, Tyagi S (2019) High-fidelity amplified FISH for the detection and allelic discrimination of single mRNA molecules. Proceedings of the National Academy of Sciences USA 128: 13921–13926. PMI: 31221755
Shi L, Jiang Q, Bushkin Y, Subbian S, Tyagi S (2019) Biphasic Dynamics of Macrophage Immunometabolism during Mycobacterium tuberculosis Infection. MBio 10. PMI: 30914513
Arrigucci R, Bushkin Y, Radford F, Lakehal K, Vir P, Pine R, Martin D, Sugarman J, Zhao Y, Yap GS, Lardizabal AA, Tyagi S, Gennaro ML (2017) FISH-Flow, a protocol for the concurrent detection of mRNA and protein in single cells using fluorescence in situ hybridization and flow cytometry. Nat Protoc 12: 1245-1260. PMI: 28518171
Radford F, Tyagi S, Gennaro ML, Pine R, Bushkin Y (2016) Flow Cytometric Characterization of Antigen-Specific T Cells Based on RNA and Its Advantages in Detecting Infections and Immunological Disorders. Crit Rev Immunol 36: 359-378. PMI: 28605344
Vir P, Arrigucci R, Lakehal K, Davidow AL, Pine R, Tyagi S, Bushkin Y, Lardizabal A, Gennaro ML (2015) Single-Cell Cytokine Gene Expression in Peripheral Blood Cells Correlates with Latent Tuberculosis Status. PLoS One 10: e0144904. PMI: 26658491
Bushkin Y, Radford F, Pine R, Lardizabal A, Mangura BT, Gennaro ML, Tyagi S (2015) Profiling T cell activation using single-molecule fluorescence in situ hybridization and flow cytometry. J Immunol 194: 836-841. PMI: 25505292
Pine R, Bushkin Y, Gennaro ML (2013) Immunological biomarkers for tuberculosis: potential for a combinatorial approach. In McFadden J, Beste D, and Kierzek A (eds.), Systems Biology of Tuberculosis. Springer, pp. 193-219.
Zhao J, Guo Y, Yan Z, Zhang J, Bushkin Y, Liang P (2011) Soluble MHC I and soluble MIC molecules: potential therapeutic targets for cancer. Int Rev Immunol 30: 35-43. PMI: 21235324
Mizrahi S, Markel G, Porgador A, Bushkin Y, Mandelboim O (2007) CD100 on NK cells enhance IFNgamma secretion and killing of target cells expressing CD72. PLoS One 2: e818. PMI: 17786190
Dong Y, Demaria S, Sun X, Santori FR, Jesdale BM, De Groot AS, Rom WN, Bushkin Y (2004) HLA-A2-restricted CD8+-cytotoxic-T-cell responses to novel epitopes in Mycobacterium tuberculosis superoxide dismutase, alanine dehydrogenase, and glutamine synthetase. Infect Immun 72: 2412-2415. PMI: 15039371
Dong Y, Lieskovska J, Kedrin D, Porcelli S, Mandelboim O, Bushkin Y (2003) Soluble nonclassical HLA generated by the metalloproteinase pathway. Hum Immunol 64: 802-810. PMI: 12878359
Haynes LD, Bushkin Y, Love RB, Burlingham WJ (2002) Interferon-gamma drives the metalloproteinase-dependent cleavage of HLA class I soluble forms from primary human bronchial epithelial cells. Hum Immunol 63: 893-901. PMI: 12368042
Mandelboim O, Lieberman N, Lev M, Paul L, Arnon TI, Bushkin Y, Davis DM, Strominger JL, Yewdell JW, Porgador A (2001) Recognition of haemagglutinins on virus-infected cells by NKp46 activates lysis by human NK cells. Nature 409: 1055-1060. PMI: 11234016