2020
DOI: 10.1111/raq.12462
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Insights into gene expression responses to infections in teleosts using microarray data: a systematic review

Abstract: The rapid growth of production in aquaculture in the last decades has brought unwanted consequences affecting fish health and increasing the susceptibility to different infections. This systematic review aimed to analyse and summarize the current knowledge of gene expression responses to infectious diseases in teleosts using viruses, bacteria, fungi and parasites as agents through published microarray data. We conducted searches in electronic databases, including PubMed, Web of Science and SCOPUS until 1 May 2… Show more

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Cited by 2 publications
(2 citation statements)
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References 180 publications
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“…Each of the remaining articles has been published in Aquaculture Reports, Biology (MDPI), BMC Genomics, Frontiers in Immunology, Gene, Genes (MDPI), Molecular Immunology, Scientific Reports, and Veterinary Research. Three of these journals are directly associated with fish studies, while the others belong in genomics and immunology fields in general, suggesting that the transcriptional response to fish infections is a subject of general interest, a fact also observed by Caruffo et al [52].…”
Section: Search Strategy and Outcomes Analysismentioning
confidence: 63%
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“…Each of the remaining articles has been published in Aquaculture Reports, Biology (MDPI), BMC Genomics, Frontiers in Immunology, Gene, Genes (MDPI), Molecular Immunology, Scientific Reports, and Veterinary Research. Three of these journals are directly associated with fish studies, while the others belong in genomics and immunology fields in general, suggesting that the transcriptional response to fish infections is a subject of general interest, a fact also observed by Caruffo et al [52].…”
Section: Search Strategy and Outcomes Analysismentioning
confidence: 63%
“…The data extraction process was conducted by two researchers in parallel. Any data discrepancies were solved by a third reviewer, as suggested by Caruffo et al [52].…”
Section: Data Extractionmentioning
confidence: 99%