Evidence map›Paper›PMID 29363160›Full record

ArticleImmunology and cell biology2018

Targeted deletion of c-Met in thymic epithelial cells leads to an autoimmune phenotype.

Min Su, Rong Hu, Yinhong Song, Yalan Liu, Laijun Lai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Immunology and cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

5 authors at 1 institution in 2 countries.

Min SuDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
Rong HuDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
Yinhong SongDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
Yalan LiuDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
Laijun LaiDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA.
University of Connecticut · US

Funding

Transplantation of ESC-derived thymic epithelial progenitors expressing autoantigen(s) ameliorating experimental autoimmune encephalomyelitisR01AI123131 · NIAID · UNIVERSITY OF CONNECTICUT STORRS · PI LAI, LAIJUN · 2016 to 2020
$1.9M
NIAID NIH HHS R01 AI123131
6 · The paper itself

Abstract

Hepatocyte growth factor (HGF) and its receptor c-Met signaling have been implicated in regulating various types of cells including epithelial cells. We have previously reported that c-Met is expressed by thymic epithelial cells (TECs), and that in vivo administration of hybrid cytokines containing IL-7 and the beta- or alpha-chain of HGF significantly increase the number of TECs. In order to study the role of c-Met signaling in TECs, we generated conditional knockout (cKO) mice in which c-Met was specifically deleted in TECs using a Foxn1-Cre transgene. We show here that c-Met deficiency in TECs results in age-progressive reduction in TEC number and reduced number of regulatory T cells. Consequently, c-Met TEC cKO mice displayed an autoimmune phenotype. Thus, c-Met signaling in TECs is important for the maintenance of TECs and immune self-tolerance.

Indexed as

AutoimmunityGene DeletionGene TargetingAnimalsCell CountCellular SenescenceEpithelial CellsMice, Inbred C57BLMice, KnockoutNF-kappa BPhenotypeProto-Oncogene Proteins c-metThymocytesThymus GlandT-Lymphocytes, RegulatoryNF-kappa BProto-Oncogene Proteins c-metautoimmunityc-Metregulatory T cellsthymic epithelial cells

Identifiers

PMID29363160
PMCPMC5825253
OpenAlexW2783002244

What OpenQuestion holds

Textmetadata
LicenceTDM
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.