Evidence map›Paper›PMID 40274949›Full record

ArticleScientific reports2025

A novel knockout mouse model to assess the impact of one-copy loss of Hnrnpk in CD4 + T cells in chronically inflamed skin as a prelude to CTCL.

Yixin Luo, Maarten Vermeer, Margot M Linssen, Fenna J de Bie, Marloe Pijnacker-Verspuij, Conny Brouwers, Jill Claassens, Frank R de Gruijl, Peter Hohenstein, Cornelis P Tensen

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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

10 authors.

Yixin LuoDepartment of Dermatology, Leiden University Medical Center, Leiden, The Netherlands.
Maarten VermeerDepartment of Dermatology, Leiden University Medical Center, Leiden, The Netherlands.
Margot M LinssenTransgenic Facility Leiden, Central Animal Facility, Leiden University Medical Center, Leiden, The Netherlands.
Fenna J de BieDepartment of Dermatology, Leiden University Medical Center, Leiden, The Netherlands.
Marloe Pijnacker-VerspuijExperimental Animal Facility, Leiden University Medical Center, Leiden, The Netherlands.
Conny BrouwersTransgenic Facility Leiden, Central Animal Facility, Leiden University Medical Center, Leiden, The Netherlands.
Jill ClaassensTransgenic Facility Leiden, Central Animal Facility, Leiden University Medical Center, Leiden, The Netherlands.
Frank R de GruijlDepartment of Dermatology, Leiden University Medical Center, Leiden, The Netherlands.
Peter HohensteinTransgenic Facility Leiden, Central Animal Facility, Leiden University Medical Center, Leiden, The Netherlands.
Cornelis P TensenDepartment of Dermatology, Leiden University Medical Center, Leiden, The Netherlands. C.P.Tensen@lumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous T-cell lymphomas (CTCLs), particularly Mycosis fungoides (MF), frequently exhibit deletions and reduced expression of HNRNPK in CD4 + T cells. To enable in vivo studies, we developed a conditional Hnrnpk knockout mouse that thrives, facilitating the investigation of HNRNPK's role in CTCL onset. We generated mice with a floxed Hnrnpk allele, then crossbred them with Cd4CreER

Indexed as

CD4-Positive T-LymphocytesHeterogeneous-Nuclear Ribonucleoprotein KLymphoma, T-Cell, CutaneousSkinSkin NeoplasmsAnimalsDisease Models, AnimalInflammationMiceMice, KnockoutHeterogeneous-Nuclear Ribonucleoprotein KCD4 + T cellsCutaneous T-cell lymphomasHNRNPKMycosis fungoidesTransgenic mouse

Identifiers

PMID40274949
PMCPMC12022257

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.