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Naive CD8+ T‐cell precursors display structured TCR repertoires and composite antigen‐driven selection dynamics

Overview of attention for article published in Immunology & Cell Biology, March 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
Naive CD8+ T‐cell precursors display structured TCR repertoires and composite antigen‐driven selection dynamics
Published in
Immunology & Cell Biology, March 2015
DOI 10.1038/icb.2015.17
Pubmed ID
Authors

Michelle A Neller, Kristin Ladell, James E McLaren, Katherine K Matthews, Emma Gostick, Johanne M Pentier, Garry Dolton, Andrea JA Schauenburg, Dan Koning, Ana Isabel CA Fontaine Costa, Thomas S Watkins, Vanessa Venturi, Corey Smith, Rajiv Khanna, Kelly Miners, Mathew Clement, Linda Wooldridge, David K Cole, Debbie van Baarle, Andrew K Sewell, Scott R Burrows, David A Price, John J Miles

Abstract

Basic parameters of the naive antigen (Ag)-specific T-cell repertoire in humans remain poorly defined. Systematic characterization of this 'ground state' immunity in comparison with memory will allow a better understanding of clonal selection during immune challenge. Here, we used high-definition cell isolation from umbilical cord blood samples to establish the baseline frequency, phenotype and T-cell antigen receptor (TCR) repertoire of CD8(+) T-cell precursor populations specific for a range of viral and self-derived Ags. Across the board, these precursor populations were phenotypically naive and occurred with hierarchical frequencies clustered by Ag specificity. The corresponding patterns of TCR architecture were highly ordered and displayed partial overlap with adult memory, indicating biased structuring of the T-cell repertoire during Ag-driven selection. Collectively, these results provide new insights into the complex nature and dynamics of the naive T-cell compartment.Immunology and Cell Biology advance online publication, 24 March 2015; doi:10.1038/icb.2015.17.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 12 17%
Student > Master 10 14%
Student > Doctoral Student 6 8%
Other 5 7%
Other 16 22%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 31%
Immunology and Microbiology 22 31%
Medicine and Dentistry 11 15%
Biochemistry, Genetics and Molecular Biology 5 7%
Neuroscience 2 3%
Other 4 6%
Unknown 6 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 08 December 2020.
All research outputs
#2,342,679
of 25,477,125 outputs
Outputs from Immunology & Cell Biology
#122
of 1,851 outputs
Outputs of similar age
#29,525
of 278,616 outputs
Outputs of similar age from Immunology & Cell Biology
#7
of 48 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,851 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 93% 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 278,616 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.