Evidence map›Paper›PMID 33329055›Full record

ArticleFrontiers in physiology2020

Exosomal MiR-769-5p Exacerbates Ultraviolet-Induced Bystander Effect by Targeting

Na Ni, Weiwei Ma, Yanling Tao, Juan Liu, Hui Hua, Jiawei Cheng, Jie Wang, Bingrong Zhou, Dan Luo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Na NiDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Weiwei MaDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yanling TaoDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Juan LiuDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hui HuaDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiawei ChengDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jie WangDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Bingrong ZhouDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Dan LuoDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomal microRNAs have been investigated in bystander effect, but it is unclear whether microRNA works in ultraviolet radiation-induced bystander effects (UV-RIBEs) and what the underlying mechanism could be. Exosomes from ultraviolet (UV)-irradiated human skin fibroblasts (HSFs) were isolated and transferred to normal HSFs, followed by the detection of proliferation rate, oxidative damage level, and apoptosis rate. Exosomal miRNAs were evaluated and screened with miRNA sequencing and quantitative reverse transcriptase-polymerase chain reaction method. MiRNA shuttle and bystander photodamage reactions were observed after transfection of miR-769-5p. MiR-769-5p targeting gene transforming growth factor-β1 (

Indexed as

exosomesmiRNAphoto damageTGFBR1ultraviolet–radiation induced bystander effects

Identifiers

PMID33329055
PMCPMC7719707
OpenAlexW3106801585

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.