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Functional Heterogeneity in CD4+ T Cell Responses Against a Bacterial Pathogen

Overview of attention for article published in Frontiers in immunology, December 2015
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Title
Functional Heterogeneity in CD4+ T Cell Responses Against a Bacterial Pathogen
Published in
Frontiers in immunology, December 2015
DOI 10.3389/fimmu.2015.00621
Pubmed ID
Authors

Ashley Viehmann Milam, Paul M. Allen

Abstract

To investigate how CD4(+) T cells function against a bacterial pathogen, we generated a Listeria monocytogenes-specific CD4(+) T cell model. In this system, two TCRtg mouse lines, LLO56 and LLO118, recognize the same immunodominant epitope (LLO190-205) of L. monocytogenes and have identical in vitro responses. However, in vivo LLO56 and LLO118 display vastly different responses during both primary and secondary infection. LLO118 dominates in the primary response and in providing CD8 T cell help. LLO56 predominates in the secondary response. We have also shown that both specific [T cell receptor (TCR)-mediated] and non-specific stimuli (bypassing the TCR) elicit distinct responses from the two transgenics, leading us to conclude that the strength of self-pMHC signaling during development tightly dictates the cell's future response in the periphery. Herein, we review our findings in this transfer system, focusing on the contribution of the immunomodulatory molecule CD5 and the importance of self-interaction in peripheral maintenance of the cell. We also discuss the manner in which individual TCR affinities to foreign and self-pMHC contribute to the outcome of an immune response; our assertion is that there exists a spectrum of possible T cell responses to recognition of cognate antigen during infection, adding immense diversity to the immune system's response to pathogens.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 4 22%
Student > Bachelor 3 17%
Lecturer 1 6%
Librarian 1 6%
Other 1 6%
Unknown 2 11%
Readers by discipline Count As %
Immunology and Microbiology 7 39%
Agricultural and Biological Sciences 5 28%
Biochemistry, Genetics and Molecular Biology 2 11%
Computer Science 1 6%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 December 2015.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Frontiers in immunology
#27,422
of 31,520 outputs
Outputs of similar age
#337,880
of 395,336 outputs
Outputs of similar age from Frontiers in immunology
#114
of 131 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,520 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.