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    IL-23 costimulates antigen-specific MAIT cell activation and enables vaccination against bacterial infection
    Wang, H ; Kjer-Nielsen, L ; Shi, M ; D'Souza, C ; Pediongco, TJ ; Cao, H ; Kostenko, L ; Lim, XY ; Eckle, SBG ; Meehan, BS ; Zhu, T ; Wang, B ; Zhao, Z ; Mak, JYW ; Fairlie, DP ; Teng, MWL ; Rossjohn, J ; Yu, D ; de St Groth, BF ; Lovrecz, G ; Lu, L ; McCluskey, J ; Strugnell, RA ; Corbett, AJ ; Chen, Z (AMER ASSOC ADVANCEMENT SCIENCE, 2019-11-01)
    Mucosal-associated invariant T (MAIT) cells are activated in a TCR-dependent manner by antigens derived from the riboflavin synthesis pathway, including 5-(2-oxopropylideneamino)-6-D-ribitylaminouracil (5-OP-RU), bound to MHC-related protein-1 (MR1). However, MAIT cell activation in vivo has not been studied in detail. Here, we have found and characterized additional molecular signals required for optimal activation and expansion of MAIT cells after pulmonary Legionella or Salmonella infection in mice. We show that either bone marrow–derived APCs or non–bone marrow–derived cells can activate MAIT cells in vivo, depending on the pathogen. Optimal MAIT cell activation in vivo requires signaling through the inducible T cell costimulator (ICOS), which is highly expressed on MAIT cells. Subsequent expansion and maintenance of MAIT-17/1-type responses are dependent on IL-23. Vaccination with IL-23 plus 5-OP-RU augments MAIT cell–mediated control of pulmonary Legionella infection. These findings reveal cellular and molecular targets for manipulating MAIT cell function under physiological conditions.
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    Mouse models illuminate MAIT cell biology
    Wang, H ; Chen, Z ; McCluskey, J ; Corbett, AJ (PERGAMON-ELSEVIER SCIENCE LTD, 2021-02)
    The field of mucosal-associated invariant T cell (MAIT) biology has grown rapidly since the identification of the vitamin-B-based antigens recognised by these specialised T cells. Over the past few years, our understanding of the complexities of MAIT cell function has developed, as they find their place among the other better known cells of the immune system. Key questions relate to understanding when MAIT cells help, when they hinder or cause harm, and when they do not matter. Exploiting mouse strains that differ in MAIT cell numbers, leveraged by specific detection of MAIT cells using MR1-tetramers, it has now been shown that MAIT cells play important immune roles in settings that include bacterial and viral infections, autoimmune diseases and cancer. We have also learnt much about their development, modes of activation and response to commensal microbiota, and begun to try ways to manipulate MAIT cells to improve disease outcomes. Here we review recent studies that have assessed MAIT cells in models of disease.
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    Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
    Cossarizza, A ; Chang, H-D ; Radbruch, A ; Abrignani, S ; Addo, R ; Akdis, M ; Andrae, I ; Andreata, F ; Annunziato, F ; Arranz, E ; Bacher, P ; Bari, S ; Barnaba, V ; Barros-Martins, J ; Baumjohann, D ; Beccaria, CG ; Bernardo, D ; Boardman, DA ; Borger, J ; Boettcher, C ; Brockmann, L ; Burns, M ; Busch, DH ; Cameron, G ; Cammarata, I ; Cassotta, A ; Chang, Y ; Chirdo, FG ; Christakou, E ; Cicin-Sain, L ; Cook, L ; Corbett, AJ ; Cornelis, R ; Cosmi, L ; Davey, MS ; De Biasi, S ; De Simone, G ; del Zotto, G ; Delacher, M ; Di Rosa, F ; Di Santo, J ; Diefenbach, A ; Dong, J ; Doerner, T ; Dress, RJ ; Dutertre, C-A ; Eckle, SBG ; Eede, P ; Evrard, M ; Falk, CS ; Feuerer, M ; Fillatreau, S ; Fiz-Lopez, A ; Follo, M ; Foulds, GA ; Froebel, J ; Gagliani, N ; Galletti, G ; Gangaev, A ; Garbi, N ; Garrote, JA ; Geginat, J ; Gherardin, NA ; Gibellini, L ; Ginhoux, F ; Godfrey, DI ; Gruarin, P ; Haftmann, C ; Hansmann, L ; Harpur, CM ; Hayday, AC ; Heine, G ; Hernandez, DC ; Herrmann, M ; Hoelsken, O ; Huang, Q ; Huber, S ; Huber, JE ; Huehn, J ; Hundemer, M ; Hwang, WYK ; Iannacone, M ; Ivison, SM ; Jaeck, H-M ; Jani, PK ; Keller, B ; Kessler, N ; Ketelaars, S ; Knop, L ; Knopf, J ; Koay, H-F ; Kobow, K ; Kriegsmann, K ; Kristyanto, H ; Krueger, A ; Kuehne, JF ; Kunze-Schumacher, H ; Kvistborg, P ; Kwok, I ; Latorre, D ; Lenz, D ; Levings, MK ; Lino, AC ; Liotta, F ; Long, HM ; Lugli, E ; MacDonald, KN ; Maggi, L ; Maini, MK ; Mair, F ; Manta, C ; Manz, RA ; Mashreghi, M-F ; Mazzoni, A ; McCluskey, J ; Mei, HE ; Melchers, F ; Melzer, S ; Mielenz, D ; Monin, L ; Moretta, L ; Multhoff, G ; Munoz, LE ; Munoz-Ruiz, M ; Muscate, F ; Natalini, A ; Neumann, K ; Ng, LG ; Niedobitek, A ; Niemz, J ; Almeida, LN ; Notarbartolo, S ; Ostendorf, L ; Pallett, LJ ; Patel, AA ; Percin, GI ; Peruzzi, G ; Pinti, M ; Pockley, AG ; Pracht, K ; Prinz, I ; Pujol-Autonell, I ; Pulvirenti, N ; Quatrini, L ; Quinn, KM ; Radbruch, H ; Rhys, H ; Rodrigo, MB ; Romagnani, C ; Saggau, C ; Sakaguchi, S ; Sallusto, F ; Sanderink, L ; Sandrock, I ; Schauer, C ; Scheffold, A ; Scherer, HU ; Schiemann, M ; Schildberg, FA ; Schober, K ; Schoen, J ; Schuh, W ; Schueler, T ; Schulz, AR ; Schulz, S ; Schulze, J ; Simonetti, S ; Singh, J ; Sitnik, KM ; Stark, R ; Starossom, S ; Stehle, C ; Szelinski, F ; Tan, L ; Tarnok, A ; Tornack, J ; Tree, TIM ; van Beek, JJP ; van de Veen, W ; van Gisbergen, K ; Vasco, C ; Verheyden, NA ; von Borstel, A ; Ward-Hartstonge, KA ; Warnatz, K ; Waskow, C ; Wiedemann, A ; Wilharm, A ; Wing, J ; Wirz, O ; Wittner, J ; Yang, JHM ; Yang, J (WILEY, 2021-12)
    The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes and functional assays of all major human and murine immune cell subsets. Notably, the Guidelines contain helpful tables highlighting phenotypes and key differences between human and murine cells. Another useful feature of this edition is the flow cytometry analysis of clinical samples with examples of flow cytometry applications in the context of autoimmune diseases, cancers as well as acute and chronic infectious diseases. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid. All sections are written and peer-reviewed by leading flow cytometry experts and immunologists, making this edition an essential and state-of-the-art handbook for basic and clinical researchers.
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    Pro-inflammatory self-reactive T cells are found within murine TCR-αβ+CD4-CD8-PD-1+ cells
    Rodriguez-Rodriguez, N ; Apostolidis, SA ; Fitzgerald, L ; Meehan, BS ; Corbett, AJ ; Martin-Villa, JM ; McCluskey, J ; Tsokos, GC ; Crispin, JC (WILEY-BLACKWELL, 2016-06)
    TCR-αβ(+) double negative (DN) T cells (CD3(+) TCR-αβ(+) CD4(-) CD8(-) NK1.1(-) CD49b(-) ) represent a minor heterogeneous population in healthy humans and mice. These cells have been ascribed pro-inflammatory and regulatory capacities and are known to expand during the course of several autoimmune diseases. Importantly, previous studies have shown that self-reactive CD8(+) T cells become DN after activation by self-antigens, suggesting that self-reactive T cells may exist within the DN T-cell population. Here, we demonstrate that programmed cell death 1 (PD-1) expression in unmanipulated mice identifies a subset of DN T cells with expression of activation-associated markers and a phenotype that strongly suggests they are derived from self-reactive CD8(+) cells. We also found that, within DN T cells, the PD-1(+) subset generates the majority of pro-inflammatory cytokines. Finally, using a TCR-activation reporter mouse (Nur77-GFP), we confirmed that in the steady-state PD-1(+) DN T cells engage endogenous antigens in healthy mice. In conclusion, we provide evidence that indicates that the PD-1(+) fraction of DN T cells represents self-reactive cells.
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    Drugs and drug-like molecules can modulate the function of mucosal-associated invariant T cells
    Keller, AN ; Eckle, SBG ; Xu, W ; Liu, L ; Hughes, VA ; Mak, JYW ; Meehan, BS ; Pediongco, T ; Birkinshaw, RW ; Chen, Z ; Wang, H ; D'Souza, C ; Kjer-Nielsen, L ; Gherardin, NA ; Godfrey, DI ; Kostenko, L ; Corbett, AJ ; Purcell, AW ; Fairlie, DP ; McCluskey, J ; Rossjohn, J (NATURE PUBLISHING GROUP, 2017-04)
    The major-histocompatibility-complex-(MHC)-class-I-related molecule MR1 can present activating and non-activating vitamin-B-based ligands to mucosal-associated invariant T cells (MAIT cells). Whether MR1 binds other ligands is unknown. Here we identified a range of small organic molecules, drugs, drug metabolites and drug-like molecules, including salicylates and diclofenac, as MR1-binding ligands. Some of these ligands inhibited MAIT cells ex vivo and in vivo, while others, including diclofenac metabolites, were agonists. Crystal structures of a T cell antigen receptor (TCR) from a MAIT cell in complex with MR1 bound to the non-stimulatory and stimulatory compounds showed distinct ligand orientations and contacts within MR1, which highlighted the versatility of the MR1 binding pocket. The findings demonstrated that MR1 was able to capture chemically diverse structures, spanning mono- and bicyclic compounds, that either inhibited or activated MAIT cells. This indicated that drugs and drug-like molecules can modulate MAIT cell function in mammals.
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    MAIT cells regulate NK cell-mediated tumor immunity
    Petley, E ; Koay, H-F ; Henderson, MA ; Sek, K ; Todd, KL ; Keam, SP ; Lai, J ; House, IG ; Li, J ; Zethoven, M ; Chen, AXY ; Oliver, AJ ; Michie, J ; Freeman, AJ ; Giuffrida, L ; Chan, JD ; Pizzolla, A ; Mak, JYW ; McCulloch, TR ; Souza-Fonseca-Guimaraes, F ; Kearney, CJ ; Millen, R ; Ramsay, RG ; Huntington, ND ; McCluskey, J ; Oliaro, J ; Fairlie, DP ; Neeson, PJ ; Godfrey, D ; Beavis, PA ; Darcy, PK (NATURE PORTFOLIO, 2021-08-06)
    The function of MR1-restricted mucosal-associated invariant T (MAIT) cells in tumor immunity is unclear. Here we show that MAIT cell-deficient mice have enhanced NK cell-dependent control of metastatic B16F10 tumor growth relative to control mice. Analyses of this interplay in human tumor samples reveal that high expression of a MAIT cell gene signature negatively impacts the prognostic significance of NK cells. Paradoxically, pre-pulsing tumors with MAIT cell antigens, or activating MAIT cells in vivo, enhances anti-tumor immunity in B16F10 and E0771 mouse tumor models, including in the context of established metastasis. These effects are associated with enhanced NK cell responses and increased expression of both IFN-γ-dependent and inflammatory genes in NK cells. Importantly, activated human MAIT cells also promote the function of NK cells isolated from patient tumor samples. Our results thus describe an activation-dependent, MAIT cell-mediated regulation of NK cells, and suggest a potential therapeutic avenue for cancer treatment.
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    Francisella tularensis induces Th1 like MAIT cells conferring protection against systemic and local infection
    Zhao, Z ; Wang, H ; Shi, M ; Zhu, T ; Pediongco, T ; Lim, XY ; Meehan, BS ; Nelson, AG ; Fairlie, DP ; Mak, JYW ; Eckle, SBG ; Moreira, MDL ; Tumpach, C ; Bramhall, M ; Williams, CG ; Lee, HJ ; Haque, A ; Evrard, M ; Rossjohn, J ; McCluskey, J ; Corbett, AJ ; Chen, Z (NATURE PORTFOLIO, 2021-07-16)
    Mucosal-associated Invariant T (MAIT) cells are recognized for their antibacterial functions. The protective capacity of MAIT cells has been demonstrated in murine models of local infection, including in the lungs. Here we show that during systemic infection of mice with Francisella tularensis live vaccine strain results in evident MAIT cell expansion in the liver, lungs, kidney and spleen and peripheral blood. The responding MAIT cells manifest a polarised Th1-like MAIT-1 phenotype, including transcription factor and cytokine profile, and confer a critical role in controlling bacterial load. Post resolution of the primary infection, the expanded MAIT cells form stable memory-like MAIT-1 cell populations, suggesting a basis for vaccination. Indeed, a systemic vaccination with synthetic antigen 5-(2-oxopropylideneamino)-6-D-ribitylaminouracil in combination with CpG adjuvant similarly boosts MAIT cells, and results in enhanced protection against both systemic and local infections with different bacteria. Our study highlights the potential utility of targeting MAIT cells to combat a range of bacterial pathogens.
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    Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
    Cossarizza, A ; Chang, H-D ; Radbruch, A ; Acs, A ; Adam, D ; Adam-Klages, S ; Agace, WW ; Aghaeepour, N ; Akdis, M ; Allez, M ; Almeida, LN ; Alvisi, G ; Anderson, G ; Andrae, I ; Annunziato, F ; Anselmo, A ; Bacher, P ; Baldari, CT ; Bari, S ; Barnaba, V ; Barros-Martins, J ; Battistini, L ; Bauer, W ; Baumgart, S ; Baumgarth, N ; Baumjohann, D ; Baying, B ; Bebawy, M ; Becher, B ; Beisker, W ; Benes, V ; Beyaert, R ; Blanco, A ; Boardman, DA ; Bogdan, C ; Borger, JG ; Borsellino, G ; Boulais, PE ; Bradford, JA ; Brenner, D ; Brinkman, RR ; Brooks, AES ; Busch, DH ; Buescher, M ; Bushnell, TP ; Calzetti, F ; Cameron, G ; Cammarata, I ; Cao, X ; Cardell, SL ; Casola, S ; Cassatella, MA ; Cavani, A ; Celada, A ; Chatenoud, L ; Chattopadhyay, PK ; Chow, S ; Christakou, E ; Cicin-Sain, L ; Clerici, M ; Colombo, FS ; Cook, L ; Cooke, A ; Cooper, AM ; Corbett, AJ ; Cosma, A ; Cosmi, L ; Coulie, PG ; Cumano, A ; Cvetkovic, L ; Dang, VD ; Dang-Heine, C ; Davey, MS ; Davies, D ; De Biasi, S ; Del Zotto, G ; Dela Cruz, GV ; Delacher, M ; Della Bella, S ; Dellabona, P ; Deniz, G ; Dessing, M ; Di Santo, JP ; Diefenbach, A ; Dieli, F ; Dolf, A ; Doerner, T ; Dress, RJ ; Dudziak, D ; Dustin, M ; Dutertre, C-A ; Ebner, F ; Eckle, SBG ; Edinger, M ; Eede, P ; Ehrhardt, GRA ; Eich, M ; Engel, P ; Engelhardt, B ; Erdei, A ; Esser, C ; Everts, B ; Evrard, M ; Falk, CS ; Fehniger, TA ; Felipo-Benavent, M ; Ferry, H ; Feuerer, M ; Filby, A ; Filkor, K ; Fillatreau, S ; Follo, M ; Foerster, I ; Foster, J ; Foulds, GA ; Frehse, B ; Frenette, PS ; Frischbutter, S ; Fritzsche, W ; Galbraith, DW ; Gangaev, A ; Garbi, N ; Gaudilliere, B ; Gazzinelli, RT ; Geginat, J ; Gerner, W ; Gherardin, NA ; Ghoreschi, K ; Gibellini, L ; Ginhoux, F ; Goda, K ; Godfrey, DI ; Goettlinger, C ; Gonzalez-Navajas, JM ; Goodyear, CS ; Gori, A ; Grogan, JL ; Grummitt, D ; Gruetzkau, A ; Haftmann, C ; Hahn, J ; Hammad, H ; Haemmerling, G ; Hansmann, L ; Hansson, G ; Harpur, CM ; Hartmann, S ; Hauser, A ; Hauser, AE ; Haviland, DL ; Hedley, D ; Hernandez, DC ; Herrera, G ; Herrmann, M ; Hess, C ; Hoefer, T ; Hoffmann, P ; Hogquist, K ; Holland, T ; Hollt, T ; Holmdahl, R ; Hombrink, P ; Houston, JP ; Hoyer, BF ; Huang, B ; Huang, F-P ; Huber, JE ; Huehn, J ; Hundemer, M ; Hunter, CA ; Hwang, WYK ; Iannone, A ; Ingelfinger, F ; Ivison, SM ; Jaeck, H-M ; Jani, PK ; Javega, B ; Jonjic, S ; Kaiser, T ; Kalina, T ; Kamradt, T ; Kaufmann, SHE ; Keller, B ; Ketelaars, SLC ; Khalilnezhad, A ; Khan, S ; Kisielow, J ; Klenerman, P ; Knopf, J ; Koay, H-F ; Kobow, K ; Kolls, JK ; Kong, WT ; Kopf, M ; Korn, T ; Kriegsmann, K ; Kristyanto, H ; Kroneis, T ; Krueger, A ; Kuehne, J ; Kukat, C ; Kunkel, D ; Kunze-Schumacher, H ; Kurosaki, T ; Kurts, C ; Kvistborg, P ; Kwok, I ; Landry, J ; Lantz, O ; Lanuti, P ; LaRosa, F ; Lehuen, A ; LeibundGut-Landmann, S ; Leipold, MD ; Leung, LYT ; Levings, MK ; Lino, AC ; Liotta, F ; Litwin, V ; Liu, Y ; Ljunggren, H-G ; Lohoff, M ; Lombardi, G ; Lopez, L ; Lopez-Botet, M ; Lovett-Racke, AE ; Lubberts, E ; Luche, H ; Ludewig, B ; Lugli, E ; Lunemann, S ; Maecker, HT ; Maggi, L ; Maguire, O ; Mair, F ; Mair, KH ; Mantovani, A ; Manz, RA ; Marshall, AJ ; Martinez-Romero, A ; Martrus, G ; Marventano, I ; Maslinski, W ; Matarese, G ; Mattioli, AV ; Maueroder, C ; Mazzoni, A ; McCluskey, J ; McGrath, M ; McGuire, HM ; McInnes, IB ; Mei, HE ; Melchers, F ; Melzer, S ; Mielenz, D ; Miller, SD ; Mills, KHG ; Minderman, H ; Mjosberg, J ; Moore, J ; Moran, B ; Moretta, L ; Mosmann, TR ; Mueller, S ; Multhoff, G ; Munoz, LE ; Munz, C ; Nakayama, T ; Nasi, M ; Neumann, K ; Ng, LG ; Niedobitek, A ; Nourshargh, S ; Nunez, G ; O'Connor, J-E ; Ochel, A ; Oja, A ; Ordonez, D ; Orfao, A ; Orlowski-Oliver, E ; Ouyang, W ; Oxenius, A ; Palankar, R ; Panse, I ; Pattanapanyasat, K ; Paulsen, M ; Pavlinic, D ; Penter, L ; Peterson, P ; Peth, C ; Petriz, J ; Piancone, F ; Pickl, WF ; Piconese, S ; Pinti, M ; Pockley, AG ; Podolska, MJ ; Poon, Z ; Pracht, K ; Prinz, I ; Pucillo, CEM ; Quataert, SA ; Quatrini, L ; Quinn, KM ; Radbruch, H ; Radstake, TRDJ ; Rahmig, S ; Rahn, H-P ; Rajwa, B ; Ravichandran, G ; Raz, Y ; Rebhahn, JA ; Recktenwald, D ; Reimer, D ; Reis e Sousa, C ; Remmerswaal, EBM ; Richter, L ; Rico, LG ; Riddell, A ; Rieger, AM ; Robinson, JP ; Romagnani, C ; Rubartelli, A ; Ruland, J ; Saalmueller, A ; Saeys, Y ; Saito, T ; Sakaguchi, S ; Sala-de-Oyanguren, F ; Samstag, Y ; Sanderson, S ; Sandrock, I ; Santoni, A ; Sanz, RB ; Saresella, M ; Sautes-Fridman, C ; Sawitzki, B ; Schadt, L ; Scheffold, A ; Scherer, HU ; Schiemann, M ; Schildberg, FA ; Schimisky, E ; Schlitzer, A ; Schlosser, J ; Schmid, S ; Schmitt, S ; Schober, K ; Schraivogel, D ; Schuh, W ; Schueler, T ; Schulte, R ; Schulz, AR ; Schulz, SR ; Scotta, C ; Scott-Algara, D ; Sester, DP ; Shankey, TV ; Silva-Santos, B ; Simon, AK ; Sitnik, KM ; Sozzani, S ; Speiser, DE ; Spidlen, J ; Stahlberg, A ; Stall, AM ; Stanley, N ; Stark, R ; Stehle, C ; Steinmetz, T ; Stockinger, H ; Takahama, Y ; Takeda, K ; Tan, L ; Tarnok, A ; Tiegs, G ; Toldi, G ; Tornack, J ; Traggiai, E ; Trebak, M ; Tree, TIM ; Trotter, J ; Trowsdale, J ; Tsoumakidou, M ; Ulrich, H ; Urbanczyk, S ; van de Veen, W ; van den Broek, M ; van der Pol, E ; Van Gassen, S ; Van Isterdael, G ; van Lier, RAW ; Veldhoen, M ; Vento-Asturias, S ; Vieira, P ; Voehringer, D ; Volk, H-D ; von Borstel, A ; von Volkmann, K ; Waisman, A ; Walker, RV ; Wallace, PK ; Wang, SA ; Wang, XM ; Ward, MD ; Ward-Hartstonge, KA ; Warnatz, K ; Warnes, G ; Warth, S ; Waskow, C ; Watson, JV ; Watzl, C ; Wegener, L ; Weisenburger, T ; Wiedemann, A ; Wienands, J ; Wilharm, A ; Wilkinson, RJ ; Willimsky, G ; Wing, JB ; Winkelmann, R ; Winkler, TH ; Wirz, OF ; Wong, A ; Wurst, P ; Yang, JHM ; Yang, J ; Yazdanbakhsh, M ; Yu, L ; Yue, A ; Zhang, H ; Zhao, Y ; Ziegler, SM ; Zielinski, C ; Zimmermann, J ; Zychlinsky, A (WILEY, 2019-10)
    These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer-reviewed by leading experts in the field, making this an essential research companion.
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    An overview on the identification of MAIT cell antigens
    Kjer-Nielsen, L ; Corbett, AJ ; Chen, Z ; Liu, L ; Mak, JYW ; Godfrey, DI ; Rossjohn, J ; Fairlie, DP ; McCluskey, J ; Eckle, SBG (WILEY, 2018-07)
    Mucosal associated invariant T (MAIT) cells are restricted by the monomorphic MHC class I-like molecule, MHC-related protein-1 (MR1). Until 2012, the origin of the MAIT cell antigens (Ags) was unknown, although it was established that MAIT cells could be activated by a broad range of bacteria and yeasts, possibly suggesting a conserved Ag. Using a combination of protein chemistry, mass spectrometry, cellular biology, structural biology and small molecule chemistry, we discovered MR1 ligands derived from folic acid (vitamin B9) and from an intermediate in the microbial biosynthesis of riboflavin (vitamin B2). While the folate derivative 6-formylpterin generally inhibited MAIT cell activation, two riboflavin pathway derivatives, 5-(2-oxopropylideneamino)-6-D-ribitylaminouracil and 5-(2-oxoethylideneamino)-6-D-ribitylaminouracil, were potent MAIT cell agonists. Other intermediates and derivatives of riboflavin synthesis displayed weak or no MAIT cell activation. Collectively, these studies revealed that in addition to peptide and lipid-based Ags, small molecule natural product metabolites are also ligands that can activate T cells expressing αβ T-cell receptors, and here we recount this discovery.
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    Mucosal-associated invariant T cell receptor recognition of small molecules presented by MR1
    Awad, W ; Le Nours, J ; Kjer-Nielsen, L ; McCluskey, J ; Rossjohn, J (WILEY, 2018-07)
    The major histocompatibility complex (MHC) class-I related molecule MR1 is a monomorphic and evolutionary conserved antigen (Ag)-presenting molecule that shares the overall architecture of MHC-I and CD1 proteins. However, in contrast to MHC-I and the CD1 family that present peptides and lipids, respectively, MR1 specifically presents small organic molecules. During microbial infection of mammalian cells, MR1 captures and presents vitamin B precursors, derived from the microbial biosynthesis of riboflavin, on the surface of antigen-presenting cells. These MR1-Ag complexes are recognized by the mucosal-associated invariant T cell receptor (MAIT TCR), which subsequently leads to MAIT cell activation. Recently, MR1 was shown to trap chemical scaffolds including drug and drug-like molecules. Here, we review this metabolite Ag-presenting molecule and further define the key molecular interactions underlying the recognition and reactivity of MAIT TCRs to MR1 in an Ag-dependent manner.