The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Transcriptome Analysis Based on RNA-Seq in Understanding Pathogenic Mechanisms of Diseases and the Immune System of Fish: A Comprehensive Review
Open accessAbstract
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.
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Cites
RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
Improving RNA-Seq expression estimates by correcting for fragment bias
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Single-cell sequencing-based technologies will revolutionize whole-organism science
Shapiro, E., Biezuner, T., & Linnarsson, S. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3542 · Cited by 1,177
A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications
Haque, A., Engel, J., Teichmann, S. A., & Lönnberg, T. (2017) · Genome Medicine · doi:10.1186/s13073-017-0467-4 · Cited by 1,071
A comparison of statistical methods for detecting differentially expressed genes from RNA‐seq data
Kvam, V. M., Liu, P., & Si, Y. (2012) · American Journal of Botany · doi:10.3732/ajb.1100340 · Cited by 281
Cited by
Legrand, T. P. R. A., Wynne, J. W., Weyrich, L. S., & Oxley, A. P. A. (2020) · Reviews in Aquaculture · doi:10.1111/raq.12375 · Cited by 265
Metadata
- Authors
- Sudhagar, A., Kumar, G., & El-Matbouli, M.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2018-01-15
- Volume
- 19
- Issue
- 1
- Pages
- 245
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2783309583
- Cited by
- 193
- References
- 6
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Sudhagar, A., Kumar, G., & El-Matbouli, M. (2018). Transcriptome Analysis Based on RNA-Seq in Understanding Pathogenic Mechanisms of Diseases and the Immune System of Fish: A Comprehensive Review. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms19010245
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