Evidence map›Paper›PMID 29342931›Full record

ReviewInternational journal of molecular sciences2018

Transcriptome Analysis Based on RNA-Seq in Understanding Pathogenic Mechanisms of Diseases and the Immune System of Fish: A Comprehensive Review.

Arun Sudhagar, Gokhlesh Kumar, Mansour El-Matbouli

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
–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

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026
    Review
  6. Article
  7. Article
  8. AFrontiers in immunology · 2026
    Article
  9. Article
  10. Polystyrene Microplastics Induce Photosynthetic Impairment inInternational journal of molecular sciences · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Unveiling Immunomodulatory Effects ofJournal of microbiology and biotechnology · 2024
    Article
  16. Article
  17. Article
  18. Subtle transcriptomic response of Eurasian perch (International journal for parasitology. Parasites and wildlife · 2023
    Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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.

Arun SudhagarClinical Division of Fish Medicine, University of Veterinary Medicine, Vienna 1210, Austria. Arun.Sudhagar@vetmeduni.ac.at.
Gokhlesh KumarClinical Division of Fish Medicine, University of Veterinary Medicine, Vienna 1210, Austria. Gokhlesh.Kumar@vetmeduni.ac.at.
Mansour El-MatbouliClinical Division of Fish Medicine, University of Veterinary Medicine, Vienna 1210, Austria. Mansour.El-Matbouli@vetmeduni.ac.at.

Funding

Austrian Science Fund FWF P 30981
6 · The paper itself

Abstract

In recent years, with the advent of next-generation sequencing along with the development of various bioinformatics tools, RNA sequencing (RNA-Seq)-based transcriptome analysis has become much more affordable in the field of biological research. This technique has even opened up avenues to explore the transcriptome of non-model organisms for which a reference genome is not available. This has made fish health researchers march towards this technology to understand pathogenic processes and immune reactions in fish during the event of infection. Recent studies using this technology have altered and updated the previous understanding of many diseases in fish. RNA-Seq has been employed in the understanding of fish pathogens like bacteria, virus, parasites, and oomycetes. Also, it has been helpful in unraveling the immune mechanisms in fish. Additionally, RNA-Seq technology has made its way for future works, such as genetic linkage mapping, quantitative trait analysis, disease-resistant strain or broodstock selection, and the development of effective vaccines and therapies. Until now, there are no reviews that comprehensively summarize the studies which made use of RNA-Seq to explore the mechanisms of infection of pathogens and the defense strategies of fish hosts. This review aims to summarize the contemporary understanding and findings with regard to infectious pathogens and the immune system of fish that have been achieved through RNA-Seq technology.

Indexed as

Disease SusceptibilityGene Expression ProfilingImmune SystemTranscriptomeAnimalsComputational BiologyFish DiseasesFishesHigh-Throughput Nucleotide SequencingHost-Parasite InteractionsHost-Pathogen InteractionsSequence Analysis, RNAfish diseaseimmune systemnext-generation sequencingtranscriptome

Identifiers

PMID29342931
PMCPMC5796193

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.