Evidence map›Paper›PMID 37258360›Full record

ReviewTrends in immunology2023

A variegated model of transcription factor function in the immune system.

Kaitavjeet Chowdhary, Christophe Benoist

Open access · greenAbstract readReview
In one paragraph

Review in Trends in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Dissecting the Immune System through Gene Regulation.Advances in experimental medicine and biology · 2024
    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

2 authors at 1 institution in 1 country.

Kaitavjeet ChowdharyDepartment of Immunology, Harvard Medical School, Boston, MA, USA.
Christophe BenoistDepartment of Immunology, Harvard Medical School, Boston, MA, USA. Electronic address: cbdm@hms.harvard.edu.
Harvard University · US

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
NIAID 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

Specific combinations of transcription factors (TFs) control the gene expression programs that underlie specialized immune responses. Previous models of TF function in immunocytes had restricted each TF to a single functional categorization [e.g., lineage-defining (LDTFs) vs. signal-dependent TFs (SDTFs)] within one cell type. Synthesizing recent results, we instead propose a variegated model of immunological TF function, whereby many TFs have flexible and different roles across distinct cell states, contributing to cell phenotypic diversity. We discuss evidence in support of this variegated model, describe contextual inputs that enable TF diversification, and look to the future to imagine warranted experimental and computational tools to build quantitative and predictive models of immunocyte gene regulatory networks.

Indexed as

Gene Expression RegulationTranscription FactorsGene Regulatory NetworksHumansImmune SystemTranscription Factorsenhancergene regulationgene regulatory networkgenetic variationmaster regulatortranscription factor

Identifiers

PMID37258360
PMCPMC10332489
OpenAlexW4378674164

What OpenQuestion holds

Textmetadata
LicenceTDM
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.