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The Peptide Specificity of the Endogenous T Follicular Helper Cell Repertoire Generated after Protein Immunization

Overview of attention for article published in PLOS ONE, October 2012
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Title
The Peptide Specificity of the Endogenous T Follicular Helper Cell Repertoire Generated after Protein Immunization
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046952
Pubmed ID
Authors

Scott A. Leddon, Andrea J. Sant

Abstract

T follicular helper (Tfh) cells potentiate high-affinity, class-switched antibody responses, the predominant correlate of protection from vaccines. Despite intense interest in understanding both the generation and effector functions of this lineage, little is known about the epitope specificity of Tfh cells generated during polyclonal responses. To date, studies of peptide-specific Tfh cells have relied on either the transfer of TcR transgenic cells or use of peptide:MHC class II tetramers and antibodies to stain TcR and follow limited peptide specificities. In order to comprehensively evaluate polyclonal responses generated from the natural endogenous TcR repertoire, we developed a sorting strategy to separate Tfh cells from non-Tfh cells and found that their epitope-specific responses could be tracked with cytokine-specific ELISPOT assays. The immunodominance hierarchies of Tfh and non-Tfh cells generated in response to immunization with several unrelated protein antigens were remarkably similar. Additionally, increasing the kinetic stability of peptide-MHC class II complexes enhanced the priming of both Tfh and conventional CD4 T cells. These findings may provide us with a strategy to rationally and selectively modulate epitope-specific Tfh responses. By understanding the parameters that control epitope-specific priming, vaccines may be tailored to enhance or focus Tfh responses to facilitate optimal B cell responses.

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Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 39%
Researcher 5 15%
Student > Bachelor 3 9%
Student > Master 2 6%
Professor 1 3%
Other 3 9%
Unknown 6 18%
Readers by discipline Count As %
Immunology and Microbiology 12 36%
Agricultural and Biological Sciences 10 30%
Medicine and Dentistry 4 12%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 4 12%