Evidence map›Paper›PMID 32420214›Full record

ArticleInternational journal of ophthalmology2020

Cross-talk between microRNA-let7c and transforming growth factor-β2 during epithelial-to-mesenchymal transition of retinal pigment epithelial cells.

Qu-Zhen Deji, Feng Yan, Wang-Dui Zhaba, Ya-Jun Liu, Jie Yin, Zhen-Ping Huang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of ophthalmology, 2020. 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
0.2field-weighted citation impact, top 43% 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, 3 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

6 authors at 1 institution in 1 country.

Qu-Zhen DejiDepartment of Ophthalmology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu Province, China.
Feng YanDepartment of Ophthalmology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu Province, China.
Wang-Dui ZhabaDepartment of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu Province, China.
Ya-Jun LiuDepartment of Ophthalmology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210008, Jiangsu Province, China.
Jie YinDepartment of Ophthalmology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu Province, China.
Zhen-Ping HuangDepartment of Ophthalmology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, Jiangsu Province, China.
Second Affiliated Hospital of Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the roles of microRNA-let7c (miR-let7c) and transforming growth factor-β2 (TGF-β2) and cellular signaling during epithelial-to-mesenchymal transition (EMT) of retinal pigment epithelial cells.

methodsRetinal pigment epithelial (ARPE-19) cells were cultured with no serum for 12h, and then with recombinant human TGF-β2 for different lengths of time. ARPE-19 cells were transfected with 1×10

resultsThe expression of miR-let7c was dramatically reduced and the nuclear factor-kappa B (NF-κB) signaling pathway was activated after induction by TGF-β2 (

conclusionThe miR-let7c regulates TGF-β2-induced EMT through the NF-κB signaling pathway in ARPE-19 cells.

Indexed as

epithelial-to-mesenchymal transitionhuman retinal pigment epithelial cellsmicroRNA-let7cnuclear factor-kappa B pathwaytransforming growth factor-β2

Identifiers

PMID32420214
PMCPMC7201343
OpenAlexW3018023256

What OpenQuestion holds

Textmetadata
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.