Evidence map›Paper›PMID 39463970›Full record

ArticlebioRxiv : the preprint server for biology2024

Restriction of innate Tγδ17 cell plasticity by an AP-1 regulatory axis.

Morgan E Parker, Naren U Mehta, Tzu-Chieh Liao, William H Tomaszewski, Stephanie A Snyder, Julia Busch, Maria Ciofani

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Morgan E ParkerDepartment of Integrative Immunobiology, Duke University Medical Center, Durham, NC, USA.ORCID 0000-0003-2610-8530
Naren U MehtaDepartment of Integrative Immunobiology, Duke University Medical Center, Durham, NC, USA.ORCID 0000-0003-0829-3592
Tzu-Chieh LiaoDepartment of Integrative Immunobiology, Duke University Medical Center, Durham, NC, USA.ORCID 0000-0001-9992-8199
William H TomaszewskiDepartment of Integrative Immunobiology, Duke University Medical Center, Durham, NC, USA.ORCID 0000-0001-7870-3935
Stephanie A SnyderDepartment of Integrative Immunobiology, Duke University Medical Center, Durham, NC, USA.
Julia BuschDepartment of Integrative Immunobiology, Duke University Medical Center, Durham, NC, USA.
Maria CiofaniDepartment of Integrative Immunobiology, Duke University Medical Center, Durham, NC, USA.ORCID 0000-0001-6472-5260

Funding

The role of TCR, ligand, and signal strength in human γδ T cell developmentP01AI102853 · NIAID · RESEARCH INST OF FOX CHASE CAN CTR · PI DAVID L. WIEST · 2014 to 2026
$26.3M
The role of AP-1 family transcription factor networks in regulating TH17 cell effector identityR01GM115474 · NIGMS · DUKE UNIVERSITY · PI CIOFANI, MARIA · 2016 to 2024
$3.2M
Cis-regulatory mechanisms governing RORgt expression in type 3 lymphocytesF31AI181082 · NIAID · DUKE UNIVERSITY · PI Naren U Mehta · 2024 to 2026
$149k
Regulation of the type 1 program during ILC3 plasticityF31AI152457 · NIAID · DUKE UNIVERSITY · PI PARKER, MORGAN ELIZABETH · 2020 to 2021
$76k
NIAID NIH HHS F31 AI152457NIAID NIH HHS F31 AI181082NIAID NIH HHS P01 AI102853NIGMS NIH HHS R01 GM115474
6 · The paper itself

Abstract

IL-17-producing γδ T (Tγδ17) cells are innate-like mediators of intestinal barrier immunity. While Th17 cell and ILC3 plasticity have been extensively studied, the mechanisms governing Tγδ17 cell effector flexibility remain undefined. Here, we combined type 3 fate-mapping with single cell ATAC/RNA-seq multiome profiling to define the cellular features and regulatory networks underlying Tγδ17 cell plasticity. During homeostasis, Tγδ17 cell effector identity was stable across tissues, including for intestinal T-bet

Identifiers

PMID39463970
PMCPMC11507935

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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.