Evidence map›Paper›PMID 37463581›Full record

ArticleImmunity2023

Lymph node medulla regulates the spatiotemporal unfolding of resident dendritic cell networks.

Milas Ugur, R Jacob Labios, Chloe Fenton, Konrad Knöpper, Katarzyna Jobin, Fabian Imdahl, Gosia Golda, Kathrin Hoh, Anika Grafen, Tsuneyasu Kaisho and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Immunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

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  8. Gut microbes · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 3 countries.

Milas UgurWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany. Electronic address: milas.ugur@uni-wuerzburg.de.
R Jacob LabiosWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany.
Chloe FentonWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany.
Konrad KnöpperWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany.
Katarzyna JobinWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany.
Fabian ImdahlHelmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany.
Gosia GoldaWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany.
Kathrin HohWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany.
Anika GrafenWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany.
Tsuneyasu KaishoDepartment of Immunology Institute of Advanced Medicine, Wakayama Medical University, 641-8509 Wakayama, Japan.
Antoine-Emmanuel SalibaHelmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany.
Dominic GrünWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany; Helmholtz Institute for RNA-Based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany.
Georg GasteigerWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany.
Marc BajénoffAix Marseille Université, CNRS, INSERM, CIML, 13288 Marseille, France.
Wolfgang KastenmüllerWürzburg Institute of Systems Immunology, Max Planck Research Group at the, Julius-Maximilians-Universität Würzburg, 97078, Würzburg, Germany. Electronic address: wolfgang.kastenmueller@uni-wuerzburg.de.
University of Würzburg · DEHelmholtz Centre for Infection Research · DEInserm · FRWakayama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlike macrophage networks composed of long-lived tissue-resident cells within specific niches, conventional dendritic cells (cDCs) that generate a 3D network in lymph nodes (LNs) are short lived and continuously replaced by DC precursors (preDCs) from the bone marrow (BM). Here, we examined whether specific anatomical niches exist within which preDCs differentiate toward immature cDCs. In situ photoconversion and Prtn3-based fate-tracking revealed that the LN medullary cords are preferential entry sites for preDCs, serving as specific differentiation niches. Repopulation and fate-tracking approaches demonstrated that the cDC1 network unfolded from the medulla along the vascular tree toward the paracortex. During inflammation, collective maturation and migration of resident cDC1s to the paracortex created discontinuity in the medullary cDC1 network and temporarily impaired responsiveness. The decrease in local cDC1 density resulted in higher Flt3L availability in the medullary niche, which accelerated cDC1 development to restore the network. Thus, the spatiotemporal development of the cDC1 network is locally regulated in dedicated LN niches via sensing of cDC1 densities.

Indexed as

Lymph NodesMacrophagesCell DifferentiationDendritic CellsCD135cDC1conveyor beltfeedbackFlt3LinfectioninflammationmigrationpreDCPrtn3

Identifiers

PMID37463581
PMCPMC10433941
OpenAlexW4384564287

What OpenQuestion 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 OpenQuestion graph.