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[Exploration and Functional Analysis of Epstein-Barr Virus Pathogenic Factors Using a Multidimensional Approach].

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Uirusu 2025 Vol.75(1) p. 73-86
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Watanabe T

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Epstein-Barr virus (EBV), a member of the herpesvirus family, infects more than 90% of adults and establishes a lifelong latent infection.

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APA Watanabe T (2025). [Exploration and Functional Analysis of Epstein-Barr Virus Pathogenic Factors Using a Multidimensional Approach].. Uirusu, 75(1), 73-86. https://doi.org/10.2222/jsv.75.73
MLA Watanabe T. "[Exploration and Functional Analysis of Epstein-Barr Virus Pathogenic Factors Using a Multidimensional Approach].." Uirusu, vol. 75, no. 1, 2025, pp. 73-86.
PMID 41016806
DOI 10.2222/jsv.75.73

Abstract

Epstein-Barr virus (EBV), a member of the herpesvirus family, infects more than 90% of adults and establishes a lifelong latent infection. In addition to its involvement in a wide range of malignancies such as lymphomas, nasopharyngeal carcinoma, and gastric cancer, recent evidence has shown its potential association with autoimmune diseases, positioning EBV as an interdisciplinary research model linking virology, oncology, and immunology. Historically, EBV research has been hindered by technical limitations in viral culture systems and animal models. However, recent advances-including whole-genome cloning using bacterial artificial chromosomes (BACs), gene editing via CRISPR/Cas9, and the development of in vivo models such as humanized mice-have accelerated the elucidation of EBV' s unique life cycle and tumorigenic mechanisms. In this review, we discuss the evolution of techniques for generating recombinant EBVs and in vivo modeling, both essential for functional genetic analysis, and highlight our contributions to the advancement of these tools and their application in researching EBV-associated tumorigenesis.

MeSH Terms

Herpesvirus 4, Human; Humans; Animals; Mice; Epstein-Barr Virus Infections; Genome, Viral; CRISPR-Cas Systems; Disease Models, Animal; Chromosomes, Artificial, Bacterial; Gene Editing; Virus Latency

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