Evidence map›Paper›PMID 39196621›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

An integrated transcription factor framework for Treg identity and diversity.

Kaitavjeet Chowdhary, Juliette Léon, Diane Mathis, Christophe Benoist

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
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  3. Review
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  7. Article
  8. Review
  9. Review
  10. Dynamics and variegation in the Treg response to Interleukin-2.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Review
  13. Review
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

4 authors.

Kaitavjeet ChowdharyDepartment of Immunology, Harvard Medical School, Boston, MA 02115.
Juliette LéonDepartment of Immunology, Harvard Medical School, Boston, MA 02115.
Diane MathisDepartment of Immunology, Harvard Medical School, Boston, MA 02115.
Christophe BenoistDepartment of Immunology, Harvard Medical School, Boston, MA 02115.

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Specification of Treg cells: learning from FoxP3 deficienciesR01AI165697 · NIAID · HARVARD MEDICAL SCHOOL · PI CHRISTOPHE O. BENOIST · 2022 to 2026
$2.8M
Treg cell diversity and homeostatic controlR01AI150686 · NIAID · HARVARD MEDICAL SCHOOL · PI BENOIST, CHRISTOPHE O. · 2020 to 2024
$2.6M
T regulatory cell subsets at the microbial interface: determinism and functionR01AI125603 · NIAID · HARVARD MEDICAL SCHOOL · PI BENOIST, CHRISTOPHE O. · 2017 to 2021
$2.1M
HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI125603HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI150686HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI165697HHS | NIH | National Institute of General Medical Sciences (NIGMS) T32GM007753HHS | NIH | National Institute of General Medical Sciences (NIGMS) T32GM144273Institut des maladies génétiques Imagine (Institut Imagine) NANIAID NIH HHS R01 AI125603NIAID NIH HHS R01 AI150686NIAID NIH HHS R01 AI165697NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

Vertebrate cell identity depends on the combined activity of scores of transcription factors (TF). While TFs have often been studied in isolation, a systematic perspective on their integration has been missing. Focusing on FoxP3+ regulatory T cells (Tregs), key guardians of immune tolerance, we combined single-cell chromatin accessibility, machine learning, and high-density genetic variation, to resolve a validated framework of diverse Treg chromatin programs, each shaped by multi-TF inputs. This framework identified previously unrecognized Treg controllers (

Indexed as

Forkhead Transcription FactorsT-Lymphocytes, RegulatoryTranscription FactorsAnimalsChromatinMiceSingle-Cell AnalysisChromatinForkhead Transcription FactorsFoxp3 protein, mouseTranscription Factorsautoimmunitygene expressionimmunoregulation

Identifiers

PMID39196621
PMCPMC11388289

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.