Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 592

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Analysis of FOXP3 protein expression in human CD4+CD25+ regulatory T cells at the single-cell level

Open access
Roncador, Giovanna, Brown, Philip J., Maestre, Lorena, Hue, Sophie, Martínez-Torrecuadrada, Jorge L., Ling, Khoon-Lin, Pratap, Sarah, Toms, Christy, Fox, Bridget C., Cerundolo, Vincenzo, Powrie, Fiona, Banham, Alison H.·2005·European Journal of Immunology

Abstract

The transcription factor FOXP3 plays a key role in CD4(+)CD25(+) regulatory T cell function and represents a specific marker for these cells. Despite its strong association with regulatory T cell function, in humans little is known about the frequency of CD4(+)CD25(+) cells that express FOXP3 protein nor the distribution of these cells in vivo. Here we report the characterization of seven anti-FOXP3 monoclonal antibodies enabling the detection of endogenous human FOXP3 protein by flow cytometry and immunohistochemistry. Flow-cytometric analysis showed that FOXP3 was expressed by the majority of CD4(+)CD25(high) T cells in peripheral blood. By contrast, less than half of the CD4(+)CD25(int) population were FOXP3(+), providing an explanation for observations in human T cells that regulatory activity is enriched within the CD4(+)CD25(high) pool. Although FOXP3 expression was primarily restricted to CD4(+)CD25(+) cells, it was induced following activation of both CD4(+) and CD8(+) T cell clones. These findings indicate that the frequency of FOXP3(+) cells correlates with the level of expression of CD25 in naturally arising regulatory T cells and that FOXP3 protein is expressed by some activated CD4(+) and CD8(+) T cell clones. These reagents represent valuable research tools to further investigate FOXP3 function and are applicable for routine clinical use.

Overview

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 · 10.1002/eji.200526189

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Verification

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.

Citations

Cites

Show all 56 references

Cited by

See all 592

Metadata

Authors
Roncador, G., Brown, P. J., Maestre, L., Hue, S., Martínez-Torrecuadrada, J. L., Ling, K.-L., Pratap, S., Toms, C., Fox, B. C., Cerundolo, V., Powrie, F., & Banham, A. H.
Venue
European Journal of Immunology
Publisher
Wiley
Published
2005-06
Volume
35
Issue
6
Pages
1681-1691
ISSN
  • 0014-2980 (ISSN-L)
  • 1521-4141
OpenAlex
W1998350666
Cited by
592
References
56
FWCI
22.97
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Analysis of FOXP3 protein expression in human CD4+CD25+ regulatory T cells at the single-cell level. https://app.cochat.ai/papers/10.1002/eji.200526189
The paper
Roncador, G., Brown, P. J., Maestre, L., Hue, S., Martínez-Torrecuadrada, J. L., Ling, K.-L., Pratap, S., Toms, C., Fox, B. C., Cerundolo, V., Powrie, F., & Banham, A. H. (2005). Analysis of FOXP3 protein expression in human CD4+CD25+ regulatory T cells at the single-cell level. European Journal of Immunology. https://doi.org/10.1002/eji.200526189

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.