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Recognition of vitamin B metabolites by mucosal-associated invariant T cells

Overview of attention for article published in Nature Communications, July 2013
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Title
Recognition of vitamin B metabolites by mucosal-associated invariant T cells
Published in
Nature Communications, July 2013
DOI 10.1038/ncomms3142
Pubmed ID
Authors

Onisha Patel, Lars Kjer-Nielsen, Jérôme Le Nours, Sidonia B. G. Eckle, Richard Birkinshaw, Travis Beddoe, Alexandra J. Corbett, Ligong Liu, John J. Miles, Bronwyn Meehan, Rangsima Reantragoon, Maria L. Sandoval-Romero, Lucy C. Sullivan, Andrew G. Brooks, Zhenjun Chen, David P. Fairlie, James McCluskey, Jamie Rossjohn

Abstract

The mucosal-associated invariant T-cell antigen receptor (MAIT TCR) recognizes MR1 presenting vitamin B metabolites. Here we describe the structures of a human MAIT TCR in complex with human MR1 presenting a non-stimulatory ligand derived from folic acid and an agonist ligand derived from a riboflavin metabolite. For both vitamin B antigens, the MAIT TCR docks in a conserved manner above MR1, thus acting as an innate-like pattern recognition receptor. The invariant MAIT TCR α-chain usage is attributable to MR1-mediated interactions that prise open the MR1 cleft to allow contact with the vitamin B metabolite. Although the non-stimulatory antigen does not contact the MAIT TCR, the stimulatory antigen does. This results in a higher affinity of the MAIT TCR for a stimulatory antigen in comparison with a non-stimulatory antigen. We formally demonstrate a structural basis for MAIT TCR recognition of vitamin B metabolites, while illuminating how TCRs recognize microbial metabolic signatures.

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Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 1%
United Kingdom 1 <1%
United States 1 <1%
Hungary 1 <1%
Unknown 147 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 29%
Researcher 27 18%
Student > Doctoral Student 11 7%
Student > Bachelor 8 5%
Student > Master 8 5%
Other 26 17%
Unknown 28 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 29%
Immunology and Microbiology 28 18%
Biochemistry, Genetics and Molecular Biology 22 14%
Medicine and Dentistry 15 10%
Chemistry 8 5%
Other 4 3%
Unknown 31 20%