Evidence map›Paper›PMID 36223176›Full record

ArticleeLife2022

Interoperability of RTN1A in dendrite dynamics and immune functions in human Langerhans cells.

Małgorzata Anna Cichoń, Karin Pfisterer, Judith Leitner, Lena Wagner, Clement Staud, Peter Steinberger, Adelheid Elbe-Bürger

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Małgorzata Anna CichońDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-9824-9207
Karin PfistererDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-1723-6266
Judith LeitnerCenter for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-7156-1759
Lena WagnerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Clement StaudDepartment of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria.
Peter SteinbergerCenter for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-6848-4097
Adelheid Elbe-BürgerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-2461-0367
Medical University of Vienna · AT

Funding

Austrian Science Fund FWF P 31485
6 · The paper itself

Abstract

Skin is an active immune organ where professional antigen-presenting cells such as epidermal Langerhans cells (LCs) link innate and adaptive immune responses. While Reticulon 1A (RTN1A) was recently identified in LCs and dendritic cells in cutaneous and lymphoid tissues of humans and mice, its function is still unclear. Here, we studied the involvement of this protein in cytoskeletal remodeling and immune responses toward pathogens by stimulation of Toll-like receptors (TLRs) in resident LCs (rLCs) and emigrated LCs (eLCs) in human epidermis ex vivo and in a transgenic THP-1 RTN1A

Indexed as

DendritesLangerhans CellsNerve Tissue ProteinsAnimalsEpidermisHumansImmunityLipoproteinsMiceRNAToll-Like Receptor 1Toll-Like Receptor 2Toll-Like Receptor 7Toll-Like ReceptorsLipoproteinsNerve Tissue ProteinsRNARTN1 protein, humanToll-Like Receptor 1Toll-Like Receptor 2Toll-Like Receptor 7Toll-Like ReceptorscytoskeletondendritesepidermishumanimmunologyinflammationLangerhans cellsRTN1AToll-like receptors

Identifiers

PMID36223176
PMCPMC9555864
OpenAlexW4304690729

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.