Evidence map›Paper›PMID 39192133›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Zebrafish as a Model for Investigating Antiviral Innate Immunity.

Xiao Man Wu, Si Yao Zheng, Ming Xian Chang

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Xiao Man WuKey Laboratory of Breeding Biotechnology and Sustainable Aquaculture (CAS), Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Si Yao ZhengKey Laboratory of Breeding Biotechnology and Sustainable Aquaculture (CAS), Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Ming Xian ChangKey Laboratory of Breeding Biotechnology and Sustainable Aquaculture (CAS), Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, China. mingxianchang@ihb.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zebrafish is a widely used model organism in genetics, developmental biology, pathology, and immunology research. Due to their fast reproduction, large numbers, transparent early embryos, and high genetic conservation with the human genome, zebrafish have been used as a model for studying human and fish viral diseases. In particular, the ability to easily perform forward and reverse genetics and lacking a functional adaptive immune response during the early period of development establish the zebrafish as a favored option to assess the functional implication of specific genes in the antiviral innate immune response and the pathogenesis of viral diseases. In this chapter, we detail protocols for the antiviral innate immunity analysis using the zebrafish model, including the generation of gene-overexpression zebrafish, generation of gene-knockout zebrafish by clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 technology, methods of viral infection in zebrafish larvae, analyzing the expression of antiviral genes in zebrafish larvae using qRT-PCR, Western blotting and transcriptome sequencing, and in vivo antiviral assays. These experimental protocols provide effective references for studying the antiviral immune response in the zebrafish model.

Indexed as

CRISPR-Cas SystemsDisease Models, AnimalImmunity, InnateZebrafishAnimalsAnimals, Genetically ModifiedGene Knockout TechniquesVirus DiseasesGrass carp reovirusInnate immunityViral infectionZebrafish larvae

Identifiers

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.