Title |
A molecular basis underpinning the T cell receptor heterogeneity of mucosal-associated invariant T cells
|
---|---|
Published in |
The Journal of Experimental Medicine, July 2014
|
DOI | 10.1084/jem.20140484 |
Pubmed ID | |
Authors |
Sidonia B G Eckle, Richard W Birkinshaw, Lyudmila Kostenko, Alexandra J Corbett, Hamish E G McWilliam, Rangsima Reantragoon, Zhenjun Chen, Nicholas A Gherardin, Travis Beddoe, Ligong Liu, Onisha Patel, Bronwyn Meehan, David P Fairlie, Jose A Villadangos, Dale I Godfrey, Lars Kjer-Nielsen, James McCluskey, Jamie Rossjohn |
Abstract |
Mucosal-associated invariant T (MAIT) cells express an invariant T cell receptor (TCR) α-chain (TRAV1-2 joined to TRAJ33, TRAJ20, or TRAJ12 in humans), which pairs with an array of TCR β-chains. MAIT TCRs can bind folate- and riboflavin-based metabolites restricted by the major histocompatibility complex (MHC)-related class I-like molecule, MR1. However, the impact of MAIT TCR and MR1-ligand heterogeneity on MAIT cell biology is unclear. We show how a previously uncharacterized MR1 ligand, acetyl-6-formylpterin (Ac-6-FP), markedly stabilized MR1, potently up-regulated MR1 cell surface expression, and inhibited MAIT cell activation. These enhanced properties of Ac-6-FP were attributable to structural alterations in MR1 that subsequently affected MAIT TCR recognition via conformational changes within the complementarity-determining region (CDR) 3β loop. Analysis of seven TRBV6-1(+) MAIT TCRs demonstrated how CDR3β hypervariability impacted on MAIT TCR recognition by altering TCR flexibility and contacts with MR1 and the Ag itself. Ternary structures of TRBV6-1, TRBV6-4, and TRBV20(+) MAIT TCRs in complex with MR1 bound to a potent riboflavin-based antigen (Ag) showed how variations in TRBV gene usage exclusively impacted on MR1 contacts within a consensus MAIT TCR-MR1 footprint. Moreover, differential TRAJ gene usage was readily accommodated within a conserved MAIT TCR-MR1-Ag docking mode. Collectively, MAIT TCR heterogeneity can fine-tune MR1 recognition in an Ag-dependent manner, thereby modulating MAIT cell recognition. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | <1% |
France | 1 | <1% |
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 155 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 37 | 23% |
Student > Ph. D. Student | 34 | 21% |
Student > Master | 12 | 8% |
Student > Bachelor | 10 | 6% |
Student > Doctoral Student | 8 | 5% |
Other | 25 | 16% |
Unknown | 34 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 44 | 28% |
Agricultural and Biological Sciences | 38 | 24% |
Biochemistry, Genetics and Molecular Biology | 19 | 12% |
Medicine and Dentistry | 11 | 7% |
Chemistry | 6 | 4% |
Other | 6 | 4% |
Unknown | 36 | 23% |