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T-cell activation by transitory neo-antigens derived from distinct microbial pathways

Overview of attention for article published in Nature, April 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 news outlets
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10 X users
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6 patents
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6 Wikipedia pages

Citations

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677 Dimensions

Readers on

mendeley
409 Mendeley
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1 CiteULike
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Title
T-cell activation by transitory neo-antigens derived from distinct microbial pathways
Published in
Nature, April 2014
DOI 10.1038/nature13160
Pubmed ID
Authors

Alexandra J. Corbett, Sidonia B. G. Eckle, Richard W. Birkinshaw, Ligong Liu, Onisha Patel, Jennifer Mahony, Zhenjun Chen, Rangsima Reantragoon, Bronwyn Meehan, Hanwei Cao, Nicholas A. Williamson, Richard A. Strugnell, Douwe Van Sinderen, Jeffrey Y. W. Mak, David P. Fairlie, Lars Kjer-Nielsen, Jamie Rossjohn, James McCluskey

Abstract

T cells discriminate between foreign and host molecules by recognizing distinct microbial molecules, predominantly peptides and lipids. Riboflavin precursors found in many bacteria and yeast also selectively activate mucosal-associated invariant T (MAIT) cells, an abundant population of innate-like T cells in humans. However, the genesis of these small organic molecules and their mode of presentation to MAIT cells by the major histocompatibility complex (MHC)-related protein MR1 (ref. 8) are not well understood. Here we show that MAIT-cell activation requires key genes encoding enzymes that form 5-amino-6-d-ribitylaminouracil (5-A-RU), an early intermediate in bacterial riboflavin synthesis. Although 5-A-RU does not bind MR1 or activate MAIT cells directly, it does form potent MAIT-activating antigens via non-enzymatic reactions with small molecules, such as glyoxal and methylglyoxal, which are derived from other metabolic pathways. The MAIT antigens formed by the reactions between 5-A-RU and glyoxal/methylglyoxal were simple adducts, 5-(2-oxoethylideneamino)-6-D-ribitylaminouracil (5-OE-RU) and 5-(2-oxopropylideneamino)-6-D-ribitylaminouracil (5-OP-RU), respectively, which bound to MR1 as shown by crystal structures of MAIT TCR ternary complexes. Although 5-OP-RU and 5-OE-RU are unstable intermediates, they became trapped by MR1 as reversible covalent Schiff base complexes. Mass spectra supported the capture by MR1 of 5-OP-RU and 5-OE-RU from bacterial cultures that activate MAIT cells, but not from non-activating bacteria, indicating that these MAIT antigens are present in a range of microbes. Thus, MR1 is able to capture, stabilize and present chemically unstable pyrimidine intermediates, which otherwise convert to lumazines, as potent antigens to MAIT cells. These pyrimidine adducts are microbial signatures for MAIT-cell immunosurveillance.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 409 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
France 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Unknown 400 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 23%
Researcher 63 15%
Student > Bachelor 50 12%
Student > Master 32 8%
Student > Doctoral Student 20 5%
Other 60 15%
Unknown 90 22%
Readers by discipline Count As %
Immunology and Microbiology 95 23%
Agricultural and Biological Sciences 85 21%
Biochemistry, Genetics and Molecular Biology 45 11%
Medicine and Dentistry 36 9%
Chemistry 16 4%
Other 25 6%
Unknown 107 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 16 June 2022.
All research outputs
#1,316,815
of 25,508,813 outputs
Outputs from Nature
#36,225
of 98,120 outputs
Outputs of similar age
#12,752
of 239,000 outputs
Outputs of similar age from Nature
#537
of 998 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has gotten more attention than average, scoring higher than 63% 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 239,000 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 94% of its contemporaries.
We're also able to compare this research output to 998 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.