Evidence map›Paper›PMID 30619650›Full record

ArticleTranslational vision science & technology2018

A New in Vitro Model of GDLD by Knocking Out

Peng Xu, Chifune Kai, Satoshi Kawasaki, Yuki Kobayashi, Kouji Yamamoto, Motokazu Tsujikawa, Ryuhei Hayashi, Kohji Nishida

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 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
0.9field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Article
  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

8 authors at 3 institutions in 1 country.

Peng XuDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
Chifune KaiDepartment of Ocular Immunology and Regenerative Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Satoshi KawasakiDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
Yuki KobayashiDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
Kouji YamamotoDepartment of Biostatistics, Yokohama City University, School of Medicine, Kanagawa, Japan.
Motokazu TsujikawaDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
Ryuhei HayashiDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
Kohji NishidaDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
Osaka University · JPOsaka Health Science University · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGelatinous drop-like corneal dystrophy (GDLD) is a rare autosomal recessive corneal dystrophy that causes severe vision loss. Because of its poor prognosis, there is a demand for novel treatments for GDLD. Here, we establish a new in vitro disease model of GDLD based on immortalized human corneal epithelial (HCE-T) cells.

methodsBy using transcription activator-like effector nuclease plasmids, tumor-associated calcium signal transducer 2 (

resultsDKO cells exhibited decreased expression and aberrant subcellular localization of CLDN1 and CLDN7 proteins, as well as decreased epithelial barrier function. Transduction of the

conclusionsWe established an in vitro disease model of GDLD by knocking out TRANSLATIONAL RELEVANCE: We expect that the cell line will be useful to elucidate the pathogenesis of GDLD and develop novel treatments for GDLD.

Indexed as

claudin, tight junctionEpCAMgelatinous drop-like corneal dystrophyTACSTD2

Identifiers

PMID30619650
PMCPMC6314060
OpenAlexW2906269085

What OpenQuestion holds

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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.