Evidence map›Paper›PMID 37908355›Full record

ArticleFrontiers in immunology2023

Single-nuclei RNA-seq reveals skin cell responses to

Cheng-Yan Mou, Lu Zhang, Han Zhao, Zhi-Peng Huang, Yuan-Liang Duan, Zhong-Meng Zhao, Hong-Yu Ke, Jun Du, Qiang Li, Jian Zhou

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

Article in Frontiers in immunology, 2023. 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
1.0field-weighted citation impact, top 22% 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, 6 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

10 authors at 1 institution in 1 country.

Cheng-Yan MouFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Lu ZhangFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Han ZhaoFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Zhi-Peng HuangFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Yuan-Liang DuanFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Zhong-Meng ZhaoFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Hong-Yu KeFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Jun DuFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Qiang LiFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Jian ZhouFisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Sichuan Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the primary natural barrier that protects against adverse environmental conditions, the skin plays a crucial role in the innate immune response of fish, particularly in relation to bacterial infections. However, due to the diverse functionality and intricate anatomical and cellular composition of the skin, deciphering the immune response of the host is a challenging task. In this study, single nuclei RNA-sequencing (snRNA-seq) was performed on skin biopsies obtained from Chinese longsnout catfish (

Indexed as

CatfishesAeromonas hydrophilaAnimalsEndothelial CellsHumansImmunity, InnateRNA-SeqAeromonas hydrophilacell expansionfish skin cellimmune responsesingle nuclei RNA-sequencing

Identifiers

PMID37908355
PMCPMC10613986
OpenAlexW4387670067

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.