Evidence map›Paper›PMID 21729870›Full record

ArticleNucleic acids research2011

Next-generation insights into regulatory T cells: expression profiling and FoxP3 occupancy in Human.

Fabian Birzele, Tanja Fauti, Heiko Stahl, Martin C Lenter, Eric Simon, Dagmar Knebel, Andreas Weith, Tobias Hildebrandt, Detlev Mennerich

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 85 citations in OpenAlex.

  1. Multimodal analysis definesbioRxiv : the preprint server for biology · 2025
    Article
  2. Role of Regulatory T Cells in Pulmonary Ageing and COPD Development.International journal of molecular sciences · 2025
    Review
  3. Review
  4. Review
  5. Identification of the novel FOXP3-dependent TFrontiers in immunology · 2023
    Article
  6. Inhibition of FOXP3 by stapled alpha-helical peptides dampens regulatory T cell function.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Review
  8. Review
  9. Depletion of central memory CD8Nature communications · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Reprogrammed CD4Frontiers in immunology · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Fabian BirzeleDepartment of Pulmonary Research, Group Genomics, Boehringer Ingelheim Pharma GmbH & Co KG, Birkendorferstraße 67, 88397 Biberach an der Riß, Germany.
Tanja Fauti
Heiko Stahl
Martin C Lenter
Eric Simon
Dagmar Knebel
Andreas Weith
Tobias Hildebrandt
Detlev Mennerich
Boehringer Ingelheim (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory T-cells (Treg) play an essential role in the negative regulation of immune answers by developing an attenuated cytokine response that allows suppressing proliferation and effector function of T-cells (CD4(+) Th). The transcription factor FoxP3 is responsible for the regulation of many genes involved in the Treg gene signature. Its ablation leads to severe immune deficiencies in human and mice. Recent developments in sequencing technologies have revolutionized the possibilities to gain insights into transcription factor binding by ChiP-seq and into transcriptome analysis by mRNA-seq. We combine FoxP3 ChiP-seq and mRNA-seq in order to understand the transcriptional differences between primary human CD4(+) T helper and regulatory T-cells, as well as to study the role of FoxP3 in generating those differences. We show, that mRNA-seq allows analyzing the transcriptomal landscape of T-cells including the expression of specific splice variants at much greater depth than previous approaches, whereas 50% of transcriptional regulation events have not been described before by using diverse array technologies. We discovered splicing patterns like the expression of a kinase-dead isoform of IRAK1 upon T-cell activation. The immunoproteasome is up-regulated in both Treg and CD4(+) Th cells upon activation, whereas the 'standard' proteasome is up-regulated in Tregs only upon activation.

Indexed as

TranscriptomeAlternative SplicingAnimalsBinding SitesChromatin ImmunoprecipitationForkhead Transcription FactorsGene Expression ProfilingHumansMiceRNA, MessengerSequence Analysis, DNASequence Analysis, RNAT-Lymphocytes, Helper-InducerT-Lymphocytes, RegulatoryForkhead Transcription FactorsFOXP3 protein, humanRNA, Messenger

Identifiers

PMID21729870
PMCPMC3185410
OpenAlexW2091311002

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.