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MR1 presents microbial vitamin B metabolites to MAIT cells

Overview of attention for article published in Nature, October 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Citations

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Title
MR1 presents microbial vitamin B metabolites to MAIT cells
Published in
Nature, October 2012
DOI 10.1038/nature11605
Pubmed ID
Authors

Lars Kjer-Nielsen, Onisha Patel, Alexandra J. Corbett, Jérôme Le Nours, Bronwyn Meehan, Ligong Liu, Mugdha Bhati, Zhenjun Chen, Lyudmila Kostenko, Rangsima Reantragoon, Nicholas A. Williamson, Anthony W. Purcell, Nadine L. Dudek, Malcolm J. McConville, Richard A. J. O’Hair, George N. Khairallah, Dale I. Godfrey, David P. Fairlie, Jamie Rossjohn, James McCluskey

Abstract

Antigen-presenting molecules, encoded by the major histocompatibility complex (MHC) and CD1 family, bind peptide- and lipid-based antigens, respectively, for recognition by T cells. Mucosal-associated invariant T (MAIT) cells are an abundant population of innate-like T cells in humans that are activated by an antigen(s) bound to the MHC class I-like molecule MR1. Although the identity of MR1-restricted antigen(s) is unknown, it is present in numerous bacteria and yeast. Here we show that the structure and chemistry within the antigen-binding cleft of MR1 is distinct from the MHC and CD1 families. MR1 is ideally suited to bind ligands originating from vitamin metabolites. The structure of MR1 in complex with 6-formyl pterin, a folic acid (vitamin B9) metabolite, shows the pterin ring sequestered within MR1. Furthermore, we characterize related MR1-restricted vitamin derivatives, originating from the bacterial riboflavin (vitamin B2) biosynthetic pathway, which specifically and potently activate MAIT cells. Accordingly, we show that metabolites of vitamin B represent a class of antigen that are presented by MR1 for MAIT-cell immunosurveillance. As many vitamin biosynthetic pathways are unique to bacteria and yeast, our data suggest that MAIT cells use these metabolites to detect microbial infection.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 743 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 <1%
Australia 4 <1%
United Kingdom 4 <1%
Switzerland 2 <1%
Canada 2 <1%
South Africa 1 <1%
Germany 1 <1%
France 1 <1%
Hungary 1 <1%
Other 0 0%
Unknown 720 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 179 24%
Researcher 124 17%
Student > Bachelor 83 11%
Student > Master 69 9%
Student > Doctoral Student 41 6%
Other 96 13%
Unknown 151 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 180 24%
Immunology and Microbiology 159 21%
Medicine and Dentistry 86 12%
Biochemistry, Genetics and Molecular Biology 72 10%
Chemistry 27 4%
Other 48 6%
Unknown 171 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 November 2023.
All research outputs
#715,831
of 26,017,215 outputs
Outputs from Nature
#27,324
of 99,074 outputs
Outputs of similar age
#3,920
of 195,613 outputs
Outputs of similar age from Nature
#389
of 1,066 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 195,613 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 1,066 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.