Cited by 52T-cell and B-cell ImmunologyImmunotherapy and Immune ResponsesPsoriasis: Treatment and Pathogenesis

Antigen exposure shapes the ratio between antigen-specific Tregs and conventional T cells in human peripheral blood

Open access
Su, Laura F., del Alcazar, Daniel, Stelekati, Erietta, Wherry, E. John, Davis, Mark M.·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: Herein we used peptide–MHC tetramer staining and enrichment to identify antigen-specific Tregs directly ex vivo and found that most CD4 + T-cell specificities, self or foreign, contain 5–15% Tregs. A notable exception is that two dominant influenza specificities contain very small proportions of Tregs. We demonstrated using human cord blood cells and murine lymphocytic choriomeningitis virus infection that antigen exposure can alter the balance between Tregs and conventional T cells in an antigen-specific and context-dependent manner. The ratio between specific Tregs and cognate effectors correlates with protective immunity in mice and T-cell dominance hierarchy in humans. Our finding provides insight into Treg specificity and highlights the importance of Treg and effector balance in an antigen-specific context.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.1611723113

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Su, L. F., del Alcazar, D., Stelekati, E., Wherry, E. J., & Davis, M. M.
Affiliations
  • Stanford Medicine (US)
  • Department of Medicine, Division of Rheumatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104;
  • University of Pennsylvania (US)
  • Howard Hughes Medical Institute (US)
Venue
Proceedings of the National Academy of Sciences
Published
2016-09-28
Volume
113
Issue
41
Pages
E6192-E6198
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2526472647
Cited by
51
References
46
Citations by year
2026: 5 · 2025: 3 · 2024: 7 · 2023: 3 · 2022: 5 · 2021: 4 · 2020: 6 · 2019: 7 · 2018: 4 · 2017: 7
FWCI
3.64
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • HHS | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (K08 AR059760)
  • HHS | NIH | National Institute of Allergy and Infectious Diseases (U19 AI 090019, U19-AI057229)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
  • Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
Keywords
regulatory T cells, conventional T cells, antigen exposure, influenza-specific T cells, lymphocytic choriomeningitis virus, umbilical cord blood, peptide-MHC tetramers, protective immunity
MeSH terms
Animals, Antigens, Antigens, Viral, Fetal Blood, Humans, Immunologic Memory, Lymphocyte Activation, Biomarkers, HLA-DR4 Antigen, T-Lymphocyte Subsets, Cytokines, Lymphocyte Count, Epitopes, T-Lymphocyte, Gene Expression Profiling, T-Lymphocytes, Regulatory, Mice, Host-Pathogen Interactions, Transcriptome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review