Evidence map›Paper›PMID 38074197›Full record

ArticleWellcome open research2023

Blimp-1 and c-Maf regulate

Luke S Cox, Marisol Alvarez-Martinez, Xuemei Wu, Leona Gabryšová, Raphaëlle Luisier, James Briscoe, Nicholas M Luscombe, Anne O'Garra

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Wellcome open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Blimp-1 and c-Maf regulateWellcome open research · 2023
    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

8 authors at 1 institution in 2 countries.

Luke S Cox *Immunoregulation and Infection Laboratory, The Francis Crick Institute, London, England, NW1 1AT, UK.ORCID https://orcid.org/0000-0002-5477-8622
Marisol Alvarez-Martinez *Immunoregulation and Infection Laboratory, The Francis Crick Institute, London, England, NW1 1AT, UK.
Xuemei WuImmunoregulation and Infection Laboratory, The Francis Crick Institute, London, England, NW1 1AT, UK.
Leona GabryšováImmunoregulation and Infection Laboratory, The Francis Crick Institute, London, England, NW1 1AT, UK.
Raphaëlle LuisierComputational Biology Laboratory, The Francis Crick Institute, London, England, NW1 1AT, UK.
James BriscoeDevelopmental Dynamics Laboratory, The Francis Crick Institute, London, England, NW1 1AT, UK.
Nicholas M LuscombeComputational Biology Laboratory, The Francis Crick Institute, London, England, NW1 1AT, UK.
Anne O'GarraImmunoregulation and Infection Laboratory, The Francis Crick Institute, London, England, NW1 1AT, UK.ORCID https://orcid.org/0000-0001-9845-6134
The Francis Crick Institute · GB

Funding

Wellcome Trust FC001126
6 · The paper itself

Abstract

Background: CD4 Methods: We applied computational analysis of gene regulation derived from temporal profiling of gene expression clusters obtained from bulk RNA sequencing (RNA-seq) of flow cytometry sorted naïve CD4 Results: We show that the transcription factors Blimp-1 and c-Maf each have unique and common effects on cytokine gene regulation and not only co-operate to induce Conclusions: These data show that Blimp-1 and c-Maf positively and negatively regulate a network of both unique and common anti-inflammatory and pro-inflammatory genes to reinforce a Th1 response in mice that will eradicate pathogens with minimum immunopathology.

Indexed as

CD4+ T cellsIFN-γIL-10MafPrdm1Th1 cells

Identifiers

PMID38074197
PMCPMC10709690
OpenAlexW4389247420

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.